CN111031389B - Video processing method, electronic device and storage medium - Google Patents
Video processing method, electronic device and storage medium Download PDFInfo
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- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
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Abstract
The application discloses a video processing method, an electronic device and a storage medium. The video processing method comprises the following steps: acquiring a video parameter range of a processing chip for processing a video; determining current video parameters of a video to be processed; and when the current video parameter is not in the video parameter range, transcoding the video to be processed according to the video parameter range so as to enable the processed video to be smoothly played. According to the video processing method, when the current video parameters are not in the video parameter range of the processing chip, transcoding processing is carried out on the video to be processed according to the video parameter range, the processed video can be smoothly played, the phenomena of blocking, frame dropping and the like in the video editing process are avoided, a user can edit the video more smoothly, and the improvement of user experience is facilitated.
Description
Technical Field
The present disclosure relates to the field of image processing technologies, and in particular, to a video processing method, an electronic device, and a storage medium.
Background
The related art can carry out editing operations such as clipping, splicing and the like on the video material to generate the target video. However, due to the difference in the processing capability of different terminals for video, unsmooth phenomena such as stuttering and frame dropping may occur during video editing, resulting in low editing efficiency. Thus, it is difficult for the user to smoothly edit the video, and the user experience is poor.
Disclosure of Invention
The application provides a video processing method, an electronic device and a storage medium.
The embodiment of the application provides a video processing method, which comprises the following steps:
acquiring a video parameter range of a processing chip for processing a video;
determining current video parameters of a video to be processed;
and when the current video parameter is not in the video parameter range, transcoding the video to be processed according to the video parameter range so as to enable the processed video to be smoothly played.
The electronic device of the embodiment of the application comprises a memory and a processor, wherein the processor is connected with the memory and is used for executing the video processing method.
A non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by one or more processors, cause the processors to perform the video processing method described above.
According to the video processing method, the electronic device and the storage medium, when the current video parameter is not in the video parameter range of the processing chip, transcoding processing is performed on the video to be processed according to the video parameter range, so that the processed video can be smoothly played, the phenomena of blocking, frame dropping and the like in the video editing process are avoided, a user can edit the video more smoothly, and the improvement of user experience is facilitated.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a video processing method according to an embodiment of the present application;
FIG. 2 is a block diagram of an electronic device according to an embodiment of the present application;
fig. 3 is a scene schematic diagram of a video processing method according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of a video processing method according to another embodiment of the present application;
fig. 5 is a schematic view of a scene of a video processing method according to another embodiment of the present application;
FIG. 6 is a schematic flow chart of a video processing method according to another embodiment of the present application;
fig. 7 is a schematic view of a scene of a video processing method according to another embodiment of the present application;
FIG. 8 is a schematic flow chart of a video processing method according to yet another embodiment of the present application;
FIG. 9 is a schematic flow chart of a video processing method according to another embodiment of the present application;
FIG. 10 is a schematic flow chart of a video processing method according to yet another embodiment of the present application;
FIG. 11 is a schematic flow chart of a video processing method according to yet another embodiment of the present application;
fig. 12 is a flowchart illustrating a video processing method according to another embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
Referring to fig. 1, fig. 2 and fig. 3, a video processing method and an electronic device 100 are provided in an embodiment of the present disclosure.
The video processing method comprises the following steps:
step S25: acquiring a video parameter range of a video processed by a processing chip 1001;
step S26: determining current video parameters of a video to be processed;
step S27: and when the current video parameters are not in the video parameter range, transcoding the video to be processed according to the video parameter range so as to enable the processed video to be smoothly played.
The electronic device 100 comprises a memory 103 and a processor 101, wherein the processor 101 is connected to the memory 103, and the processor 101 is configured to execute the video processing method.
In other words, the processor 101 is configured to obtain a video parameter range of the video processed by the processing chip 1001; and is used for confirming the present video parameter of the video to be processed; and the video transcoding module is used for transcoding the video to be processed according to the video parameter range when the current video parameter is not in the video parameter range, so that the processed video can be smoothly played.
According to the video processing method and the electronic device 100 in the embodiment of the application, when the current video parameter is not within the video parameter range of the processing chip 1001, transcoding processing is performed on the video to be processed according to the video parameter range, so that the processed video can be smoothly played, the phenomena of blocking, frame dropping and the like in the video editing process are avoided, a user can edit the video more smoothly, and the improvement of user experience is facilitated.
Specifically, the electronic apparatus 100 may be any of various types of computer system devices that are mobile or portable and perform wireless communication. Further, the electronic apparatus 100 may be a mobile phone, a portable game device, a laptop computer, a Personal Digital Assistant (PDA), a tablet computer (PAD), a portable internet device, a wearable device, a vehicle-mounted terminal, a navigator, a music player, a data storage device, and the like.
Note that, for convenience of description, the video processing method of the electronic device 100 according to the embodiment of the present application is explained by taking the electronic device 100 as a mobile phone as an example. This is not intended to limit the specific form of the electronic device 100.
In step S25, the processing chip 1001 is a chip that processes video during video editing. The processing chip 1001 may be a chip independent from the processor 101 or may be integrated with the processor 101. The specific relationship between the processing chip 1001 and the processor 101 is not limited herein.
The video processing method of the embodiment of the application can be based on the scene of video editing. Specifically, the "to-be-processed video" in step S26 may be a video selected by the user to be edited. In other words, when the user selects a video to be edited, the video parameter range of the video processed by the processing chip 1001 is obtained; determining current video parameters of a video to be processed; and when the current video parameters are not in the video parameter range, transcoding the video to be processed according to the video parameter range so as to enable the processed video to be smoothly played.
The "to-be-processed video" in step S26 may also be a video already stored in the electronic device 100. The "to-be-processed video" in step S26 may also be a video newly acquired by the electronic device 100. The specific form of the "to-be-processed video" in step S26 is not limited herein.
In step S26, the video parameter range refers to a parameter range of a video that the processing chip 1001 can process. Such as a resolution range, a bitrate range, a frame rate range, etc., of the video. In other words, when the video with the parameter within the video parameter range is processed by the processing chip 1001, the video is smoothly played, and the phenomena of pause, frame dropping and the like do not occur in the video editing process, so that the user can smoothly edit the video.
In step S26, the current video parameter of the video is a parameter of the video itself. Such as resolution, code rate, frame rate, etc.
It is understood that transcoding refers to converting an already compression-coded video code stream into another video code stream to adapt to different network bandwidths, different terminal processing capabilities and different user requirements. Transcoding is essentially a process of decoding first and then encoding. Therefore, the code streams before and after conversion may or may not conform to the same video coding standard.
Therefore, in step S27, the video encoding standard of the processed video may be the same as or different from the video encoding standard of the video to be processed before the processing.
In addition, the device for processing the video in the video editing process may be the same as or different from the device for transcoding the video to be processed. In other words, the video to be processed may be transcoded by the processing chip 1001; the video to be processed may also be transcoded by other devices, such as the processor 101, a transcoding chip, and the like. The specific device for transcoding the video to be processed is not limited herein.
Referring to fig. 3, in an example, a user may click on an icon of "video parameter range" in a viewing interface to view a video parameter range of a video processed by the processing chip 1001. Specifically, the video parameter ranges of the processing chip 1001 are: the resolution is less than or equal to 4K.
The user can view the current video parameters of video V1 by clicking on the "attribute of video V1" icon at the viewing interface. Specifically, the resolution of the video V1 is 8K.
Thus, it may be determined that the current video parameter is not within the video parameter range. The video V1 may be transcoded. The resolution of the transcoded video V1 is 4K, which is within the video parameter range.
Referring to fig. 4 and 5, in some embodiments, the video parameter ranges are configured according to the following steps:
step S21: acquiring a plurality of groups of preset parameter ranges;
step S22: and under the condition that one group of preset parameter ranges in the plurality of groups of preset parameter ranges correspond to the processing chip, taking the corresponding group of preset parameter ranges as the video parameter range.
Correspondingly, the processor 101 is configured to obtain multiple sets of preset parameter ranges; and under the condition that one group of preset parameter ranges in the plurality of groups of preset parameter ranges correspond to the processing chip, taking the corresponding group of preset parameter ranges as the video parameter range.
Therefore, a set of preset parameter ranges corresponding to the processing chips 1001 is determined from the plurality of preset parameter ranges and used as video parameter ranges, so that different processing chips 1001 can acquire the corresponding video parameter ranges, the chip compatibility of transcoding processing is guaranteed, and users can obtain smooth video editing experience on various chip platforms.
Meanwhile, the configuration of the video parameter range is realized, so that the video parameter range can be acquired in time when the video parameter range needs to be acquired subsequently. Therefore, the response speed can be improved, the size relation between the current video parameter and the video parameter range can be determined in time, and when the current video parameter is not in the video parameter range, the transcoding processing is performed on the video to be processed in time, so that the video processing efficiency is improved.
In step S21, the preset parameter ranges include, but are not limited to, resolution range, Group of Pictures (GOP) range, rate range, and frame rate range.
Wherein, GOP refers to the number of image frames between two adjacent key frames. It can be understood that the video coding sequence mainly includes three kinds of coding frames, namely: intra-coded image frames (I-frames), Predictive-coded image frames (P-frames), and bidirectional Predictive-coded image frames (B-frames). The key frame is an I-frame.
Note that the preset parameter range may be a set of a plurality of values, or may be a continuous value range.
In one example, the preset parameter range includes a resolution range, specifically, the resolution range is: resolution is 1K, resolution is 2K, or resolution is 4K. In another example, the preset parameter range includes a frame rate range, specifically, the frame rate range is: the frame rate is less than 24 fps.
In addition, a plurality of sets of preset parameter ranges may be stored in the server 200, and the server 200 may be configured to transmit the plurality of sets of preset parameter ranges to the electronic device 100 through the network.
Specifically, the server 200 is configured to determine a plurality of sets of preset parameter ranges according to the first input. The first input may be an input by a worker. Therefore, the multiple groups of preset parameter ranges can be regulated and controlled by workers and even set by the workers, so that the multiple groups of preset parameter ranges can better meet the expectation of the workers or be based on the experience of the workers, and the transcoding efficiency and effect are better when transcoding processing is carried out on the video to be processed according to the video parameter ranges.
Of course, the server 200 may also be used to determine multiple sets of preset parameter ranges according to multiple chip types. For example, the server 200 is configured to obtain corresponding chip data according to a plurality of chip types, and determine a plurality of sets of preset parameter ranges according to the chip data. Further, the server 200 is configured to input the chip data into a preset calculation model, so as to determine a plurality of sets of preset parameter ranges through the calculation model. Therefore, the server 200 can automatically determine the ranges of multiple groups of preset parameters without personnel intervention, and the method is simple and convenient and has high efficiency.
In addition, after acquiring multiple sets of preset parameter ranges from the server 200, the update data may also be acquired from the server 200, and the multiple sets of preset parameter ranges may be updated according to the update data. Therefore, updating of multiple groups of preset parameter ranges is achieved, the video parameter range of the processing chip 1001 is adjusted in time, and transcoding efficiency and transcoding effect are better when transcoding processing is performed on the video to be processed according to the video parameter range.
Of course, in other embodiments, multiple sets of preset parameter ranges may be obtained locally from the electronic device 100. The specific sources of the preset parameter ranges are not limited herein.
Further, video parameter ranges may also be determined based on the second input. The second input may be an input by the user. Therefore, the video parameter range better meets the requirements of users, and the improvement of user experience is facilitated.
In step S22, each set of preset parameter ranges may include a first identifier, the processing chip 1001 may include a second identifier, a plurality of first identifiers may be queried according to the second identifier, when the first identifier corresponding to the second identifier is queried, it is determined that the processing chip 1001 corresponds to a set of preset parameter ranges corresponding to the first identifier, and the set of preset parameter ranges may be used as the video parameter range.
In addition, multiple sets of preset parameter ranges may be matched with the processing chip 1001 one by one, and in the matching process, if it is determined that the current set of preset parameter ranges corresponds to the processing chip 1001, the current set of preset parameter ranges is used as the video parameter range, and subsequent preset parameter ranges are not further corresponding to the processing chip 1001. Therefore, the matching time can be saved, and the matching efficiency is improved.
Of course, all of the multiple sets of preset parameter ranges may be matched with the processing chip 1001, and if the preset parameter ranges corresponding to the processing chip 1001 are determined to be multiple sets, one set of preset parameter ranges is determined as the video parameter range from the multiple sets of preset parameter ranges corresponding to the processing chip 1001.
Specifically, a group of preset parameter ranges with the latest time among the plurality of groups of preset parameter ranges corresponding to the processing chip 1001 may be obtained as the video parameter range. A group of preset parameter ranges with the highest priority among the plurality of groups of preset parameter ranges corresponding to the processing chip 1001 may also be used as the video parameter range. Therefore, the video parameter range can be optimized, and the transcoding efficiency and effect are better when transcoding processing is performed on the video to be processed according to the video parameter range.
Referring to fig. 5, in an example, the server 200 sends the plurality of sets of preset parameter ranges to the electronic device 100. The preset parameter ranges are 5 groups in total, and are respectively as follows: a preset parameter range T1, a preset parameter range T2, a preset parameter range T3, a preset parameter range T4, and a preset parameter range T5. The chips corresponding to the 5 groups of preset parameter ranges are respectively as follows: chip C1, chip C2, chip C3, chip C4, and chip C5. And the processing chip 1001 of the electronic device 100 is chip C3. Therefore, the electronic device 100 can determine the preset parameter range T3 corresponding to the processing chip 1001 from the 5 sets of preset parameter ranges, and use the preset parameter range T3 as the video parameter range of the processing chip 1001. The user can view the video parameter range of the processing chip 1001 by clicking the icon of "video parameter range" in the viewing interface. The electronic device 100 displays the video parameter ranges as follows: a preset parameter range T3. The user may also click on the "update" icon, causing the video parameter range to be updated to update the video parameter range.
Referring to fig. 6 and 7, in some embodiments, the video parameter ranges are configured according to the following steps:
step S23: acquiring default parameter ranges under the condition that the multiple groups of preset parameter ranges do not correspond to the processing chip 1001;
step S24: the default parameter range is taken as the video parameter range.
Correspondingly, the processor 101 is configured to obtain a default parameter range when the plurality of sets of preset parameter ranges do not correspond to the processing chip 1001; and for using the default parameter range as the video parameter range.
Thus, when a set of preset parameter ranges corresponding to the processing chip 1001 cannot be found from the plurality of sets of preset parameter ranges, it is ensured that the processing chip 1001 can acquire a set of parameter ranges as the video parameter ranges, thereby ensuring that the video parameter ranges of the processing chip 1001 are configured. The method avoids the problem that the relationship between the video parameter range and the current video parameter of the video to be processed cannot be determined subsequently due to the fact that the video parameter range cannot be configured.
Specifically, in step S23, the phrase "the plurality of sets of predetermined parameter ranges do not correspond to the processing chip 1001" means that each set of predetermined parameter ranges in the plurality of sets of predetermined parameter ranges does not correspond to the processing chip 1001. In other words, a set of predetermined parameter ranges corresponding to the processing chip 1001 cannot be found out among the plurality of sets of predetermined parameter ranges.
Please note that, in the present embodiment, the default parameter ranges are included in each set of the default parameter ranges. Alternatively, the default parameter ranges are sub-ranges of each set of predetermined parameter ranges. Specifically, the maximum value of the default parameter range is smaller than the maximum value of each set of preset parameter ranges. In this way, the minimum requirements for the video to be processed can be configured, and the video transcoded according to the default parameter range can be processed by all kinds of processing chips 1001, so that the situation that the video cannot be processed by the processing chips 1001 after transcoding is avoided.
In one example, the three sets of preset parameter ranges are: frame rate less than or equal to 60fps, frame rate less than or equal to 50fps, frame rate less than or equal to 40fps, and default parameter range is frame rate less than or equal to 30 fps. If a set of preset parameter ranges corresponding to the processing chip 1001 cannot be found from the three sets of preset parameter ranges, the default parameter range, i.e., the frame rate is less than or equal to 30fps, is used as the video parameter range for the processing chip 1001 to process the video.
On the other hand, the processing chip 1001 can process video with a frame rate of 35fps or less according to the frequency, thread, and other attributes of the processing chip 1001 itself. Thus, when the video parameter of the video to be processed is not in the default parameter range with the frame rate less than or equal to 30fps, transcoding processing can be performed on the video to be processed according to the default parameter range, so that the frame rate of the processed video is less than or equal to 30fps, and the video can be processed by the processing chip 1001 without phenomena such as pause and frame drop.
In this example, if the maximum value of the default parameter range is not less than the maximum value of each set of preset parameter ranges, for example, the default parameter range is: the frame rate is less than or equal to 45 fps. Then, after transcoding the video to be processed according to the default parameter range, the transcoded video may still be difficult to be smoothly played under the processing of the processing chip 1001.
Referring to fig. 7, in another example, the server 200 sends the sets of preset parameter ranges to the electronic device 100. The preset parameter ranges are 5 groups in total, and are respectively as follows: a preset parameter range T1, a preset parameter range T2, a preset parameter range T3, a preset parameter range T4, and a preset parameter range T5. The chips corresponding to the 5 groups of preset parameter ranges are respectively as follows: chip C1, chip C2, chip C3, chip C4, and chip C5. And the processing chip 1001 is chip C9. From the 5 sets of preset parameter ranges, a set of preset parameter ranges corresponding to the processing chip 1001 cannot be found. Therefore, the default parameter range T0 is obtained, and the default parameter range T0 is used as the video parameter range of the processing chip 1001. The user can view the video parameter range of the processing chip 1001 by clicking the icon of "video parameter range" in the viewing interface. The electronic device 100 displays the video parameter ranges as follows: a preset parameter range T0. The user may also click on the "update" icon, causing the video parameter range to be updated.
In the example of fig. 7, the server 200 transmits the default parameter ranges and the plurality of sets of preset parameter ranges to the electronic device 100 together. It is understood that, in other examples, the server 200 may first send a plurality of sets of preset parameter ranges to the electronic device 100, and if the plurality of sets of preset parameter ranges do not correspond to the processing chip 1001, the server 200 then sends the default parameter ranges to the electronic device 100.
Referring to fig. 8, in some embodiments, step S27 includes:
step S271: determining target video parameters according to the video parameter range;
step S272: and processing the video to be processed to convert the current video parameters of the processed video into target video parameters.
Correspondingly, the processor 101 is configured to determine a target video parameter according to the video parameter range; and the video processing device is used for processing the video to be processed so as to convert the current video parameters of the processed video into the target video parameters.
Therefore, the current video parameters of the processed video are converted into the target video parameters determined according to the video parameter range, so that the processed video can be in the video parameter range of the processing chip 1001, the phenomena of blocking, frame dropping and the like in the video editing process are avoided, a user can edit the video more smoothly, and the improvement of user experience is facilitated.
In addition, the video processing method of the embodiment of the application adds parameter control while transcoding, can flexibly set target video parameters, avoids the problem of insufficient control dimensionality of transcoding, and is beneficial to improving the transcoding effect.
Specifically, in step S271, the target video parameters include, but are not limited to, resolution, Group of Pictures (GOP), bitrate, frame rate, whether to transcode audio/video. The specific content of the current video parameters is not limited herein. This is explained and illustrated further below.
Referring to fig. 9, in some embodiments, the current video parameter includes a current resolution, the target video parameter includes a target resolution, the video parameter range includes a resolution range, the current video parameter includes a current resolution, and the target video parameter includes a target resolution, and step S25 includes:
step S251: acquiring the resolution range of the video processed by the processing chip 1001;
step S26 includes:
step S261: determining the current resolution of a video to be processed;
step S271 includes:
step S2711: determining a target resolution according to the resolution range;
step S272 includes:
step S2721: and processing the video to be processed to convert the current resolution of the processed video into the target resolution.
Correspondingly, the processor 101 is configured to obtain a resolution range of the video processed by the processing chip 1001; and is used for determining the current resolution of the video to be processed; and is used for confirming the target resolution according to the resolution range; and the processing unit is used for processing the video to be processed so as to convert the current resolution of the processed video into the target resolution.
Therefore, the resolution of the video to be processed is converted, so that the current resolution of the processed video is the target resolution, and the target resolution is adapted to the resolution range of the processing chip 1001, thereby avoiding the phenomena of pause, frame dropping and the like caused by the resolution in the video editing process, enabling a user to edit the video more smoothly, and being beneficial to improving the user experience.
It is understood that resolution is the number of pixels contained in a unit of inch. Resolution affects image size. Specifically, the higher the resolution, the larger the image; the lower the resolution, the smaller the image. And the same chip has different processing effects on videos with different resolutions.
For example, the processing chip 1001 may cause a stuck phenomenon when processing a video with a resolution of 8K, and may not cause a stuck phenomenon when processing a video with a resolution of 2K. Therefore, it is necessary to process the video so that the current resolution of the video shifts to the target resolution determined according to the resolution range of the processing chip 1001 in order to avoid the seizure caused by the resolution of the video.
Specifically, in step S261, the current resolution of the video to be processed may be determined by reading the attribute information of the video to be processed.
In step S2711, one resolution in the resolution range may be set as the target resolution.
In one example, the current resolution of the video to be processed is 8K. The resolution range of the processing chip 1001 is: if the resolution is less than or equal to 4K, the target resolution may be determined to be 4K according to the resolution range. Therefore, the video to be processed may be processed such that the current resolution of the processed video is changed from 8K to 4K.
In another example, the current resolution of the video to be processed is 8K. The resolution range of the processing chip 1001 is: if the resolution is less than or equal to 4K, the target resolution may be determined to be 2K according to the resolution range. Therefore, the video to be processed may be processed such that the current resolution of the processed video is changed from 8K to 2K.
In step S2721, resolution conversion data of a target resolution and a current resolution may be determined, and the video to be processed is processed according to the resolution conversion data so that the current resolution of the processed video is converted to the target resolution.
Referring to fig. 10, in some embodiments, the current video parameter includes a current gop value, the target video parameter includes a target gop value, the video parameter range includes a gop value range, the current video parameter includes a current gop value, the target video parameter includes a target gop value, and the step S25 includes:
step S252: acquiring a frame group value range of a video processed by the processing chip 1001;
step S26 includes:
step S262: determining a current picture group value of a video to be processed;
step S271 includes:
step S2712: determining a target picture group value according to the picture group value range;
step S272 includes:
step S2722: and processing the video to be processed to convert the current picture group value of the processed video into a target picture group value.
Correspondingly, the processor 101 is configured to obtain a range of values of the group of pictures of the video processed by the processing chip 1001; and is used for confirming the present picture group value of the video to be processed; and is used for confirming the group value of the goal picture according to the group value range of the picture; and the processing unit is used for processing the video to be processed so as to convert the current picture group value of the processed video into a target picture group value.
Therefore, the group value of the video to be processed is converted, so that the current group value of the processed video is the target group value and is adapted to the group value range of the processing chip 1001, and the phenomena of pause, frame dropping and the like caused by the group value of the video in the video editing process can be avoided, so that a user can edit the video more smoothly, and the improvement of user experience is facilitated.
As mentioned before, the Group of Pictures (GOP) refers to the number of image frames between two adjacent key frames, i.e. I-frames. In a video coding sequence, three kinds of coding frames are mainly included, namely: intra-coded image frames (I-frames), Predictive-coded image frames (P-frames), and bidirectional Predictive-coded image frames (B-frames).
On the premise of unchanged code rate, the larger the GOP value is, the more the number of P frames and B frames is, the more the number of bytes occupied by each I frame, P frame and B frame is, and the better image quality is obtained more easily. And the same chip has different processing effects on videos with different picture group values.
For example, the processing chip 1001 may cause a stuck phenomenon when processing a video having a field group value of 120, and may not cause a stuck phenomenon when processing a video of 60. Therefore, it is necessary to process the video to be processed so that the current gop value of the processed video is converted into the target gop value determined according to the gop value range, so as to avoid the stutter caused by the gop value.
Specifically, in step S262, the current gop value of the video to be processed may be determined by reading the attribute information of the video to be processed.
In step S2712, one picture group value in the picture group value range may be taken as a target picture group value.
In one example, the current group of pictures value of the video to be processed is 120. The panel value range of the processing chip 1001 is: if the gop value is less than or equal to 100, the target gop value can be determined to be 60 according to the gop value range. Therefore, the video to be processed can be processed such that the current gop value of the processed video is changed from 120 to 60.
In another example, the current gop value of the video to be processed is 120. The panel value range of the processing chip 1001 is: if the gop value is less than or equal to 100, the target gop value can be determined to be 30 according to the gop value range. Therefore, the video to be processed can be processed such that the current gop value of the processed video is changed from 120 to 30.
In step S2722, gop value conversion data of the target gop value and the current gop value may be determined, and the video to be processed is processed according to the gop value conversion data, so that the current gop value of the processed video is converted into the target gop value.
Referring to fig. 11, in some embodiments, the current video parameter includes a current bitrate, the target video parameter includes a target bitrate, the video parameter range includes a bitrate range, the current video parameter includes a current bitrate, and the target video parameter includes a target bitrate, step S25 includes:
step S253: acquiring a code rate range of a video processed by a processing chip 1001;
step S26 includes:
step S263: determining the current code rate of a video to be processed;
step S271 includes:
step S2713: determining a target code rate according to the code rate range;
step S272 includes:
step S2723: and processing the video to be processed to convert the current code rate of the processed video into the target code rate.
Correspondingly, the processor 101 is configured to obtain a code rate range of the processing chip 1001 for processing the video; and is used for determining the current code rate of the video to be processed; and is used for determining the target code rate according to the code rate range; and the video processing unit is used for processing the video to be processed so as to convert the current code rate of the processed video into the target code rate.
Therefore, the code rate of the video to be processed is converted, so that the current code rate of the processed video is the target code rate, and the current code rate is adapted to the code rate range of the processing chip 1001, and the phenomena of blocking, frame dropping and the like caused by the code rate in the video editing process can be avoided, so that a user can edit the video more smoothly, and the improvement of user experience is facilitated.
It is understood that the code rate is the number of data bits transmitted per unit time at the time of data transmission. The larger the code rate is, the higher the precision is, and the closer the processed file is to the original file. In other words, the larger the code rate, the lower the distortion rate of the image, and the sharper the picture. And the same chip has different processing effects on videos with different code rates.
For example, the processing chip 1001 may cause a stuck phenomenon when processing a video with a bitrate of 65M, and may not cause a stuck phenomenon when processing a video with a bitrate of 20M. Therefore, the video to be processed needs to be processed to convert the current bitrate of the processed video to the target bitrate determined according to the bitrate range, so as to avoid the pause caused by the bitrate of the video.
Specifically, in step S263, the current bitrate of the video to be processed may be determined by reading the attribute information of the video to be processed.
In step S2713, one code rate in the code rate range may be taken as a target code rate.
In one example, the current bitrate of the video to be processed is 65M. The code rate range of the processing chip 1001 is: and if the code rate is less than or equal to 20M, determining the target code rate to be 20M according to the code rate range. Therefore, the video to be processed can be processed such that the current bitrate of the processed video is changed from 65M to 20M.
In another example, the current bitrate of the video to be processed is 65M. The code rate range of the processing chip 1001 is: if the code rate is less than or equal to 20M, the target code rate can be determined to be 10M according to the code rate range. Therefore, the video to be processed can be processed such that the current bitrate of the processed video is changed from 65M to 10M.
In step S2723, rate conversion data of the target rate and the current rate may be determined, and the video to be processed is processed according to the rate conversion data so that the current rate of the processed video is converted into the target rate.
Referring to fig. 12, in some embodiments, the current video parameter includes a current frame rate, the target video parameter includes a target frame rate, the video parameter range includes a frame rate range, the current video parameter includes a current frame rate, and the target video parameter includes a target frame rate, step S25 includes:
step S254: acquiring a frame rate range of a video processed by the processing chip 1001;
step S26 includes:
step S264: determining the current frame rate of a video to be processed;
step S271 includes:
step S2714: determining a target frame rate according to the frame rate range;
step S272 includes:
step S2724: and processing the video to be processed to convert the current frame rate of the processed video into the target frame rate.
Correspondingly, the processor 101 is configured to obtain a frame rate range of the processing chip 1001 for processing the video; the video processing device is used for determining the current frame rate of the video to be processed; and is used for determining the target frame rate according to the frame rate range; and the frame rate conversion module is used for processing the video to be processed so as to convert the current frame rate of the processed video into the target frame rate.
Therefore, the frame rate of the video to be processed is converted, so that the current frame rate of the processed video is the target frame rate and is adapted to the frame rate range of the processing chip 1001, and the phenomena of pause, frame drop and the like caused by the frame rate in the video editing process can be avoided, so that the user can edit the video more smoothly, and the improvement of user experience is facilitated.
It is understood that the frame rate is the number of picture frames displayed per second. The frame rate is proportional to the fluency of the picture. The larger the frame rate is, the smoother the picture is; the smaller the frame rate, the more jerky the picture. If the code rate is constant, the higher the frame rate is, the higher the compression ratio of the encoder must be, so as to carry enough frames by reducing the image quality. And the same chip has different processing effects on videos with different frame rates.
For example, the processing chip 1001 may cause a stuck phenomenon when processing a video with a frame rate of 60fps, and may not cause a stuck phenomenon when processing a video with a frame rate of 30 fps. Therefore, it is necessary to process the video to be processed to convert the current frame rate of the processed video to the target frame rate determined according to the frame rate range, so as to avoid the pause caused by the frame rate of the video.
Specifically, in step S264, the current frame rate of the video to be processed may be determined by reading the attribute information of the video to be processed.
In step S2714, one frame rate in the frame rate range may be set as the target frame rate.
In one example, the current frame rate of the video to be processed is 60 fps. The frame rate range of the processing chip 1001 is: if the frame rate is less than or equal to 30fps, the target frame rate can be determined to be 30fps according to the frame rate range. Therefore, the video to be processed can be processed such that the current frame rate of the processed video is changed from 60fps to 30 fps.
In another example, the current frame rate of the video to be processed is 60 fps. The frame rate range of the processing chip 1001 is: if the frame rate is less than or equal to 30fps, the target frame rate can be determined to be 24fps according to the frame rate range. Therefore, the video to be processed can be processed such that the current frame rate of the processed video is changed from 60fps to 24 fps.
In step S2724, frame rate conversion data of the target frame rate and the current frame rate may be determined, and the video to be processed is processed according to the frame rate conversion data, so that the current frame rate of the processed video is converted into the target frame rate.
It is to be understood that, in step S27, when transcoding the video to be processed, at least one of the current resolution, the current group of pictures value, the current bitrate, and the current frame rate of the video to be processed may be converted.
In one example, when transcoding the video to be processed, one of the current resolution, the current group of pictures value, the current bitrate, and the current frame rate is converted. In another example, the current resolution and current group of pictures values are converted when transcoding the video to be processed. In yet another example, the current resolution, current group of pictures value, and current bitrate are converted when transcoding the video to be processed. In yet another example, when transcoding the video to be processed, the current resolution, the current group of pictures value, the current bitrate, and the current frame rate are converted.
The specific parameters of the conversion are not limited herein.
In addition, in step S27, when transcoding the video to be processed, the transcoding parameters may be determined according to the obtained current video parameters and the obtained target video parameters; processing the video to be processed according to the transcoding parameters; processing the audio of the video to be processed according to the transcoding parameters; and synchronously processing and packaging the processed video and audio to obtain the processed video.
Therefore, the video and the audio to be processed are processed and encapsulated respectively, so that the processing time can be reduced and the processing efficiency can be improved. Moreover, the videos and the audios to be processed are synchronously processed before being packaged, so that the processed videos and the audios can be synchronized, the phenomenon that the videos after transcoding are disordered due to the fact that sound and pictures are not synchronous is avoided, and improvement of user experience is facilitated.
Further, the processing the video to be processed according to the transcoding parameters comprises: decoding the video to be processed according to the transcoding parameters; determining whether to perform proportional switching according to the transcoding parameters; when the proportion switching is determined, carrying out proportion switching on the video to be processed according to the transcoding parameters; and when the proportion switching is determined not to be needed, re-encoding the decoded video according to the transcoding parameters. Therefore, the video to be processed is processed according to the transcoding parameters to obtain the processed video.
Further, processing the audio of the video to be processed according to the transcoding parameters includes: decoding the audio according to the transcoding parameters; determining whether to reset the sampling rate according to the transcoding parameters; resetting the sampling rate of the audio according to the transcoding parameters when the resetting sampling rate is determined; re-encoding the decoded audio according to the transcoding parameters upon determining not to reset the sampling rate. Thus, the audio is processed according to the transcoding parameters to obtain the processed audio.
The embodiment of the application also provides a computer readable storage medium. One or more non-transitory computer-readable storage media containing computer-executable instructions that, when executed by one or more processors 101, cause the processors 101 to perform the video processing method of any of the embodiments described above.
For example, performing: step S25: acquiring a video parameter range of a video processed by a processing chip 1001; step S26: determining current video parameters of a video to be processed; step S27: and when the current video parameters are not in the video parameter range, transcoding the video to be processed according to the video parameter range so as to enable the processed video to be smoothly played.
When the current video parameter is not within the video parameter range of the processing chip 1001, the computer-readable storage medium performs transcoding processing on the video to be processed according to the video parameter range, so that the processed video can be smoothly played, phenomena such as pause and frame dropping during video editing are avoided, a user can more smoothly edit the video, and user experience is improved.
Fig. 2 is a schematic diagram illustrating internal modules of the electronic device 100 according to an embodiment. The electronic device 100 includes a processor 101, a memory 102 (e.g., a non-volatile storage medium), an internal memory 103, a display device 104, and an input device 105 connected by a system bus 110. The memory 102 of the electronic device 100 stores an operating system and computer-readable instructions, among other things. The computer readable instructions can be executed by the processor 101 to implement the video processing method of any one of the above embodiments.
The processor 101 may be used to provide computing and control capabilities, supporting the operation of the entire electronic device 100. The internal memory 103 of the electronic device 100 provides an environment for the execution of computer-readable instructions in the memory 102. The input device 105 may be a key, a trackball, or a touch pad provided on the housing of the electronic device 100, or may be an external keyboard, a touch pad, or a mouse.
In summary, in the related art, transcoding processing is usually performed on a video in two manners, namely pure hardware transcoding and pure software transcoding, so as to adapt to different network bandwidths, different terminal processing capabilities, and different user requirements.
However, although pure hardware transcoding is efficient, platform compatibility is not good, and it is difficult to adapt to different terminals. The platform compatibility of pure software transcoding is better, but the transcoding efficiency is lower. Moreover, since pure software transcoding uses a Central Processing Unit (CPU), the coding and decoding efficiency is further reduced due to resource shortage. In other words, the efficiency and effect of pure hardware transcoding and pure software transcoding cannot meet the user experience.
And a pure hardware transcoding and pure software transcoding mixed mode is adopted, software distinction is made according to platform information, efficiency and experience are compatible, but the problems of insufficient flexibility and insufficient control dimensionality exist, and better experience cannot be brought to users in a video editing scene.
In this embodiment, on the basis of pure hardware transcoding and pure software transcoding, when the current video parameter is not within the video parameter range of the processing chip 1001, the target video parameter is determined according to the video parameter range, and the video parameter range is set by the default parameter range or the preset parameter range corresponding to the processing chip 1001, so that the video transcoding schemes of various chip platforms can be flexibly compatible in a configuration manner, users can obtain smooth video editing experience on various chip platforms, and the efficiency of splicing videos is improved.
It will be appreciated by those skilled in the art that the configurations shown in the figures are merely schematic representations of portions of configurations relevant to the present disclosure, and do not constitute limitations on the electronic devices to which the present disclosure may be applied, and that a particular electronic device may include more or fewer components than shown in the figures, or may combine certain components, or have a different arrangement of components.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, and the program may be stored in a non-volatile computer readable storage medium, and when executed, may include the processes of the embodiments of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only memory (ROM), or the like.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A video processing method, characterized in that the video processing method comprises:
acquiring a video parameter range of a processing chip for processing a video;
determining current video parameters of a video to be processed;
when the current video parameter is not in the video parameter range, transcoding the video to be processed according to the video parameter range so as to enable the processed video to be smoothly played;
the video parameter range is configured according to the following steps:
acquiring a plurality of groups of preset parameter ranges, wherein the preset parameter ranges are determined according to the chip data of the processing chips, and the plurality of groups of preset parameter ranges correspond to various types of processing chips;
under the condition that one group of preset parameter ranges in the multiple groups of preset parameter ranges correspond to the processing chip, taking the corresponding group of preset parameter ranges as the video parameter range;
acquiring default parameter ranges under the condition that the multiple groups of preset parameter ranges do not correspond to the processing chip, wherein the default parameter ranges are contained in each group of preset parameter ranges;
and taking the default parameter range as the video parameter range.
2. The video processing method according to claim 1, wherein transcoding the video to be processed according to the video parameter range comprises:
determining target video parameters according to the video parameter range;
and processing the video to be processed to convert the current video parameters of the processed video into the target video parameters.
3. The video processing method of claim 2, wherein the video parameter range comprises a resolution range, the current video parameter comprises a current resolution, the target video parameter comprises a target resolution, and obtaining the video parameter range of the processing chip for processing the video comprises:
acquiring the resolution range of the video processed by the processing chip;
determining current video parameters of a video to be processed, including:
determining the current resolution of the video to be processed;
determining target video parameters according to the video parameter range, comprising:
determining the target resolution according to the resolution range;
processing the video to be processed to convert the current video parameters of the processed video into the target video parameters, including:
and processing the video to be processed to convert the current resolution of the processed video into the target resolution.
4. The video processing method of claim 2, wherein the video parameter range comprises a group of pictures value range, the current video parameter comprises a current group of pictures value, the target video parameter comprises a target group of pictures value, and the obtaining the video parameter range of the processing chip for processing the video comprises:
acquiring the frame group value range of the video processed by the processing chip;
determining current video parameters of a video to be processed, including:
determining the current picture group value of the video to be processed;
determining target video parameters according to the video parameter range, comprising:
determining the target picture group value according to the picture group value range;
processing the video to be processed to convert the current video parameters of the processed video into the target video parameters, including:
and processing the video to be processed to convert the current picture group value of the processed video into the target picture group value.
5. The video processing method of claim 2, wherein the video parameter range comprises a code rate range, the current video parameter comprises a current code rate, the target video parameter comprises a target code rate, and obtaining the video parameter range of the processing chip for processing the video comprises:
acquiring the code rate range of the processing chip for processing the video;
determining current video parameters of a video to be processed, including:
determining the current code rate of the video to be processed;
determining target video parameters according to the video parameter range, comprising:
determining the target code rate according to the code rate range;
processing the video to be processed to convert the current video parameters of the processed video into the target video parameters, including:
and processing the video to be processed to convert the current code rate of the processed video into the target code rate.
6. The video processing method of claim 2, wherein the video parameter range comprises a frame rate range, the current video parameter comprises a current frame rate, the target video parameter comprises a target frame rate, and acquiring the video parameter range of the processing chip for processing the video comprises:
acquiring the frame rate range of the processing chip for processing the video;
determining current video parameters of a video to be processed, including:
determining the current frame rate of the video to be processed;
determining target video parameters according to the video parameter range, wherein the target video parameters comprise:
determining the target frame rate according to the frame rate range;
processing the video to be processed to convert the current video parameters of the processed video into the target video parameters, including:
and processing the video to be processed to convert the current frame rate of the processed video into the target frame rate.
7. An electronic device, comprising a memory and a processor, the processor being coupled to the memory, the processor being configured to perform the video processing method of any of claims 1-6.
8. A non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by one or more processors, cause the processors to perform the video processing method of any of claims 1-6.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103379363A (en) * | 2012-04-19 | 2013-10-30 | 腾讯科技(深圳)有限公司 | Video processing method and apparatus, mobile terminal and system |
CN104168488A (en) * | 2014-08-29 | 2014-11-26 | 北京奇艺世纪科技有限公司 | Video transcoding method and device |
CN104202660A (en) * | 2014-09-15 | 2014-12-10 | 乐视网信息技术(北京)股份有限公司 | Video dividing and transcoding method and device |
CN104363463A (en) * | 2014-11-10 | 2015-02-18 | 能力天空科技(北京)有限公司 | Video processing method, device and system |
CN105898315A (en) * | 2015-12-07 | 2016-08-24 | 乐视云计算有限公司 | Video transcoding method and device and system |
CN108476345A (en) * | 2015-11-02 | 2018-08-31 | 万特里克斯公司 | The method and system that flow rate in content-control stream media network is adjusted |
WO2019007211A1 (en) * | 2017-07-03 | 2019-01-10 | 腾讯科技(深圳)有限公司 | Encoding and decoding capability configuration method and device, and computer storage medium |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002027469A (en) * | 2000-07-05 | 2002-01-25 | Matsushita Electric Ind Co Ltd | Bit stream converting method and device, and program recording medium |
US20140192207A1 (en) * | 2013-01-07 | 2014-07-10 | Jinsong Ji | Method and apparatus to measure video characteristics locally or remotely |
CN108289228B (en) * | 2017-01-09 | 2020-08-28 | 阿里巴巴集团控股有限公司 | Panoramic video transcoding method, device and equipment |
-
2019
- 2019-12-11 CN CN201911265503.0A patent/CN111031389B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103379363A (en) * | 2012-04-19 | 2013-10-30 | 腾讯科技(深圳)有限公司 | Video processing method and apparatus, mobile terminal and system |
CN104168488A (en) * | 2014-08-29 | 2014-11-26 | 北京奇艺世纪科技有限公司 | Video transcoding method and device |
CN104202660A (en) * | 2014-09-15 | 2014-12-10 | 乐视网信息技术(北京)股份有限公司 | Video dividing and transcoding method and device |
CN104363463A (en) * | 2014-11-10 | 2015-02-18 | 能力天空科技(北京)有限公司 | Video processing method, device and system |
CN108476345A (en) * | 2015-11-02 | 2018-08-31 | 万特里克斯公司 | The method and system that flow rate in content-control stream media network is adjusted |
CN105898315A (en) * | 2015-12-07 | 2016-08-24 | 乐视云计算有限公司 | Video transcoding method and device and system |
WO2019007211A1 (en) * | 2017-07-03 | 2019-01-10 | 腾讯科技(深圳)有限公司 | Encoding and decoding capability configuration method and device, and computer storage medium |
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