CN106101602A - A kind of bandwidth self-adaption improves the method for network video quality - Google Patents
A kind of bandwidth self-adaption improves the method for network video quality Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
- H04L47/52—Queue scheduling by attributing bandwidth to queues
- H04L47/522—Dynamic queue service slot or variable bandwidth allocation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
- H04L47/52—Queue scheduling by attributing bandwidth to queues
- H04L47/527—Quantum based scheduling, e.g. credit or deficit based scheduling or token bank
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
- H04L47/62—Queue scheduling characterised by scheduling criteria
- H04L47/6215—Individual queue per QOS, rate or priority
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
- H04L47/62—Queue scheduling characterised by scheduling criteria
- H04L47/625—Queue scheduling characterised by scheduling criteria for service slots or service orders
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
- H04N7/147—Communication arrangements, e.g. identifying the communication as a video-communication, intermediate storage of the signals
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Abstract
The present invention relates to Internet video field, be specifically related to a kind of method that bandwidth self-adaption improves network video quality.Comprise the following steps: video shares client capturing and coding video data, sends the data to transmission server；Network condition is analyzed in the detection of described transmission server, network condition is divided into multiple rating factor by differing from, the network hierarchy factor is fed back to described video and shares client；Described video shares client according to the described network hierarchy factor, image is carried out compressed in layers, is divided into basal layer and weight layer；Described layered image information is transferred to video-see client by described transmission server；Described layered image is carried out coding and merges by described video-see client；Described video server receives described video and shares the instruction of video sharing request and the video-see request instruction of described video-see client transmission that client sends.The various bandwidth of the method energy self adaptation, obtains higher picture quality to image key area.
Description
Technical field
The present invention relates to Internet video field, under the conditions of being specifically related to a kind of complex network, bandwidth self-adaption improves network video
Frequently the method for quality.
Background technology
Along with the development of information technology, Internet video call becomes indispensable work in terms of live and work
Tool.And network bandwidth situation is complicated and changeable, under the conditions of complex network, how to obtain preferable video calling effect always deposit
Problem, there is many defects in conventional Internet video call, pause as video occurs card in the case of network difference, Hua Ping,
The phenomenon such as fuzzy, when network is preferable, it is clear that video is the most smudgy, when not distinguishing video main body and video background, it is impossible to prominent
Go out to show video main body, therefore, how to design a kind of energy adaptive network situation and improve the method one-tenth of network video quality
Need badly for this area and solve the technical problem that.
Summary of the invention
The present invention is directed to the deficiencies in the prior art, it is proposed that a kind of bandwidth self-adaption improves the method for network video quality,
The method combines network condition and image key area, adaptive can obtain the video of smoothness, and energy under various bandwidth
In the case of bandwidth does not increases, image key area being obtained higher picture quality, it is to avoid image card pauses, fuzzy asks
Topic, can adjust image quality in real time according to networking situation, and preferentially ensure the image quality of video main body.
For solving above-mentioned technical problem, the technical scheme that the present invention takes is:
A kind of bandwidth self-adaption improves the method for network video quality, comprises the following steps: 1) video shares client collection volume
Code video data, sends the data to transmission server；2) detection of described transmission server analyzes network condition, by network
Situation is divided into multiple rating factor by differing from, and the network hierarchy factor is fed back to described video and shares client；3) regard described in
Image, according to the described network hierarchy factor, is carried out compressed in layers, is divided into basal layer and weight layer by the shared client of frequency；4) described
Described layered image information is transferred to video-see client by transmission server；5) described video-see client is by described point
Tomographic image carries out coding and merges；6) described video server receive described video share client send video sharing request refer to
The video-see request instruction that order and described video-see client send.
Inventor finds, the method according to embodiments of the present invention, combines network condition and image key area, can be certainly
The video obtaining smoothness under various bandwidth adapted to, and in the case of bandwidth does not increases, image key area can be obtained
Higher picture quality, it is to avoid image card pauses, fuzzy problem, image quality can be adjusted in real time according to networking situation, and preferentially
Ensure the image quality of video main body.
According to embodiments of the invention, the parameter characterizing described network condition includes: network average bandwidth, network delay,
Network jitter and Network Packet Loss, described network condition is divided into ten rating factor of 1-10 by differing from, and described instruction is for being used for controlling
Video processed allows and refusal, the service logic instruction of opening and closing, it is preferred that described network hierarchy factor value algorithm is:
First, if described network average band width values more than Internet video watch time need maximum bandwidth, by described network hierarchy because of
Son is set to 10, represents that network is best；Secondly, if described network average bandwidth wanting of not reaching that Internet video clearly watches
Ask, then according to described network average bandwidth scope, network delay value scope, network jitter scope and the Network Packet Loss model preset
Enclose, in different spans, the different network hierarchy factor is set；If network average band width values is little, then by network
Rating factor is set to 1.
According to embodiments of the invention, described weight layer has picture coding region, the image in described picture coding region
Weight factor and QP value, i.e. luminance quantization parameter.
According to embodiments of the invention, the described network hierarchy factor determine the image weights in described picture coding region because of
Son, the described image weights factor determines picture quality, and the described image weights factor is divided into by differing from according to described picture quality
Ten grades of 1-10, it is preferred that the described image weights factor is directly proportional to described picture quality.
According to embodiments of the invention, the weight factor of the zones of different in described picture coding region differs, and is positioned at institute
The image weights factor stating picture coding region central authorities is big, and picture coding is fine, and picture quality is high, is positioned at described picture coding district
The image weights factor at edge, territory is little, and picture quality is low.
According to embodiments of the invention, described image weights factor representation is the coding attention degree to image, if described
The network hierarchy factor greatly and is the image-region paid attention to, then the weight factor distributing to described image is big, and picture quality is high, takies
Carry roomy, if the described network hierarchy factor is little and for the image-region that thinks little of, then the weight factor distributing to described image is little,
Thus save bandwidth, it is preferred that the algorithm of the described image weights factor is: the described image weights factor by described network hierarchy because of
Sub and described picture coding region together decides on, and entreats region in the picture, and the described image weights factor is equal to the network hierarchy factor,
Along with image moves to described edges of regions, the described image weights factor is gradually less than the described network hierarchy factor.
According to embodiments of the invention, described basal layer is a special weight layer, its compression of images fusion method with
Described weight tomographic image compression fusion method is the same, and the network hierarchy factor of described basal layer determines that, not by described network
Situation affects, it is preferred that the network hierarchy factor of described basal layer is 3.
According to embodiments of the invention, the QP value of the zones of different in described picture coding region differs, and is positioned at described figure
As the QP value of coding region central authorities is little, the QP value being positioned at described picture coding edges of regions is big, and described QP value is weighed with described image
Repeated factor is inversely proportional to, and the described image weights factor is big, and QP value is little, and picture quality is high, and bandwidth occupancy is big, the described image weights factor
Little, QP value is big, and poor image quality, bandwidth occupancy is little；Preferably, described image quantization parameter QP value-based algorithm is: preset an institute
Stating image weights factor array, the index of described array is the described image weights factor, and the value of described array is QP value, obtains QP
After value, described QP value is transferred to image encoder and encodes.
According to embodiments of the invention, described video-see client also includes: image encoder, described image encoder
Receive described QP value, obtain final coded image and carry out picture coding, and the compression of territory, layering and zoning, then described layering is divided
The mode that linear interpolation of taking the coded image of area compresses merges is fused to single image, if owing to described network condition causes
Wherein the image of a layer is not received by described video-see client, then use the image of other a layer to show.
According to embodiments of the invention, the linear fusion relation of described image basis layer and weight layer is: finally merge figure
Picture=picture coding region * base layer image accounting+picture coding region * weight tomographic image accounting.
The present invention at least has the advantages that the method combines network condition and image key area, can be adaptive
The video obtaining smoothness under various bandwidth answered, and in the case of bandwidth does not increases, image key area can be obtained more
High picture quality, it is to avoid image card pauses, fuzzy problem, image quality can be adjusted in real time according to networking situation, and preferentially protect
The image quality of card video main body.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the present invention.
Detailed description of the invention
In order to make those skilled in the art be more fully understood that technical scheme, below in conjunction with specific embodiment to this
Invention is described in further detail.The embodiments described below is exemplary, is only used for explaining the present invention, and is not understood that
For limitation of the present invention.Unreceipted concrete technology or condition in embodiment, according to the skill described by the document in this area
Art or condition or carry out according to product description.
The present invention proposes a kind of method that bandwidth self-adaption improves network video quality, according to embodiments of the invention,
Fig. 1 is the schematic flow sheet of the present invention, and with reference to shown in Fig. 1, the method for the invention step is: first, video shares client
Capturing and coding video data, sends the data to transmission server；Secondly, network feelings are analyzed in the monitoring of described transmission server
Condition, is divided into ten rating factor of 1-10 by described network condition by differing from, and 1 is worst, and 10 is best, by described network hierarchy
The factor feeds back to described video and shares client；Then, described video shares client according to the described network hierarchy factor, general's figure
As carrying out compressed in layers, being divided into basal layer and weight layer, wherein, described weight layer has picture coding region, described image is compiled
The image weights factor in code region and QP value, i.e. luminance quantization parameter, described basal layer is a special weight layer, its image
Compression fusion method is as described weight tomographic image compression fusion method, and the network hierarchy factor of described basal layer determines that
, do not affected by described network condition；Finally, described layered image information is transferred to video observing onlooker by described transmission server
Family end, described layered image is carried out coding and merges by described video-see client；Described video server receives described video
Share the instruction of video sharing request and the video-see request instruction of described video-see client transmission that client sends.
Inventor finds, the method according to embodiments of the present invention, combines network condition and image key area, can be certainly
The video obtaining smoothness under various bandwidth adapted to, and in the case of bandwidth does not increases, image key area can be obtained
Higher picture quality, it is to avoid image card pauses, fuzzy problem, image quality can be adjusted in real time according to networking situation, and preferentially
Ensure the image quality of video main body.
According to embodiments of the invention, the concrete kind of network condition of the present invention is unrestricted, according to the present invention
Some embodiments, the parameter characterizing network condition of the present invention includes: network average bandwidth, network delay, network jitter
And Network Packet Loss.
According to embodiments of the invention, described network hierarchy factor value algorithm is: first, if described network average band
The maximum bandwidth needed when width values is watched more than Internet video, is set to 10 by the described network hierarchy factor, represents that network is best；
Secondly, if described network average bandwidth does not reaches the requirement that Internet video is clearly watched, then put down according to the described network preset
All bandwidth range, network delay value scope, network jitter scope and Network Packet Loss scopes, in different spans, are arranged
The different network hierarchy factor；If network average band width values is little, then the network hierarchy factor is set to 1.
According to embodiments of the invention, the concrete kind of instruction of the present invention is unrestricted, as long as being the industry of client
Business logical order, according to some embodiments of the present invention, instruction of the present invention is preferably used for controlling video and allows
With refusal, the service logic instruction of opening and closing.
According to embodiments of the invention, the described network hierarchy factor determine the image weights in described picture coding region because of
Son, the described image weights factor determines picture quality, and the described image weights factor is divided into by differing from according to described picture quality
Ten grades of 1-10,1 represents worst picture quality, and 10 represent best picture quality, it is preferred that the described image weights factor and institute
Stating picture quality to be directly proportional, the described image weights factor is big, and occupied bandwidth is big, and picture coding is fine, and picture quality is high, described figure
As weight factor is little, occupied bandwidth is little, and picture quality is low.
According to embodiments of the invention, the weight factor of the zones of different in described picture coding region differs, to image
Zones of different takes the compression method that weight does not waits, and the image weights factor being positioned at described picture coding region central authorities is big, image
Coding is fine, and picture quality is high, and the image weights factor being positioned at described picture coding edges of regions is little, and picture quality is low.
According to embodiments of the invention, described image weights factor representation is the coding attention degree to image, if described
The network hierarchy factor greatly and is the image-region paid attention to, then the weight factor distributing to described image is big, and picture quality is high, takies
Carry roomy, if the described network hierarchy factor is little and for the image-region that thinks little of, then the weight factor distributing to described image is little,
Thus save bandwidth, therefore, the described image weights factor is determined jointly by the described network hierarchy factor and described picture coding region
Fixed, the algorithm of the described image weights factor is: entreat region in the picture, and the described image weights factor is equal to the network hierarchy factor,
Along with image moves to described edges of regions, the described image weights factor is gradually less than the described network hierarchy factor.Energy of the present invention
Adjust image quality in real time according to networking situation, and preferentially ensure the image quality of video main body, can be adaptive at various bands
The wide lower video obtaining smoothness, and in the case of bandwidth does not increases, image key area can be obtained higher picture quality.
According to embodiments of the invention, the network hierarchy factor of described basal layer is preferably 3, and the image at corresponding place is compiled
The base layer image accounting in code region is 30%.
According to embodiments of the invention, described video-see client also includes: image encoder, described image encoder
Receive described QP value, obtain final coded image and carry out picture coding, and the compression of territory, layering and zoning, then described layering is divided
The mode that linear interpolation of taking the coded image of area compresses merges is fused to single image, if owing to described network condition causes
Wherein the image of a layer is not received by described video-see client, then use the image of other a layer to show, if due to
Described network condition causes described video-see client to be not received by any view data, the then final view data merged
Previous frame data for image.
According to embodiments of the invention, picture quality is finally determined by image encoder, and the one of encoder
Important parameter is exactly QP value, i.e. luminance quantization parameter, and QP value is incoming as the parameter of image encoder the most at last, it is thus achieved that final
Coded image, picture coding is subregion compressed encoding, and the QP value of zones of different picture coding is different, is positioned at described figure
As the QP value of coding region central authorities is little, the area image of little QP value is compressed, is positioned at described picture coding regional edge
The QP value of edge is big, is compressed the area image of big QP value, and described QP value is inversely proportional to the described image weights factor, institute
Stating the image weights factor big, QP value is little, and picture quality is high, and bandwidth occupancy is big, and the described image weights factor is little, and QP value is big, image
Of poor quality, bandwidth occupancy is little.
According to embodiments of the invention, described image quantization parameter QP value-based algorithm is: preset described image weights because of
Subnumber group, the index of described array is the described image weights factor, and the value of described array is QP value, after obtaining QP value, by described
QP value is transferred to described image encoder and encodes.
The most described picture quality is to be compiled by the described network hierarchy factor, the described image weights factor, the image paid close attention to
Code region and described image encoder together decide on.
According to embodiments of the invention, the linear fusion relation of described image basis layer and weight layer is: finally merge figure
Picture=picture coding region * base layer image accounting+picture coding region * weight tomographic image accounting, some according to the present invention are real
Execute example, if described video-see client is simultaneously received described basal layer and the image of weight layer, described picture coding district
The base layer image accounting in territory and described basal layer rating factor correspond to 30%, the therefore weight tomographic image in picture coding region
Accounting is 70%, and described weight tomographic image accounting is more than described base layer image accounting, then relational expression is final fusion image=figure
As coding region * 30%+ picture coding region * 70%；If described video-see client only receives base layer image, finally
Fusion image just based on tomographic image, if described video-see client only receives weight tomographic image, final fusion image
Just for weight tomographic image, if not receiving the image of any a layer, then final fusion image data just takes upper the one of image
Frame data, until view data can be received.
Inventor finds, the method according to embodiments of the present invention, combines network condition and image key area, can be certainly
The video obtaining smoothness under various bandwidth adapted to, and in the case of bandwidth does not increases, image key area can be obtained
Higher picture quality, it is to avoid image card pauses, fuzzy problem, image quality can be adjusted in real time according to networking situation, and preferentially
Ensure the image quality of video main body.
In the description of this specification, reference term " embodiment ", " some embodiments ", " illustrative examples ",
The description of " example ", " concrete example " or " some examples " etc. means to combine this embodiment or the specific features of example description, knot
Structure, material or feature are contained at least one embodiment or the example of the present invention.In this manual, to above-mentioned term
Schematic representation is not necessarily referring to identical embodiment or example.And, the specific features of description, structure, material or spy
Point can combine in any one or more embodiments or example in an appropriate manner.
Although above it has been shown and described that embodiments of the invention, it is to be understood that above-described embodiment is example
Property, it is impossible to being interpreted as limitation of the present invention, those of ordinary skill in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, revises, replaces and modification, simultaneously for one of ordinary skill in the art, according to the think of of the application
Think, the most all will change.
Claims (10)
1. the method that a bandwidth self-adaption improves network video quality, it is characterised in that comprise the following steps:
1) video shares client capturing and coding video data, sends the data to transmission server；
2) network condition is analyzed in the detection of described transmission server, and network condition is divided into multiple rating factor, by net by differing from
Network rating factor feeds back to described video and shares client；
3) described video shares client according to the described network hierarchy factor, and image is carried out compressed in layers, be divided into basal layer and
Weight layer；
4) described layered image information is transferred to video-see client by described transmission server；
5) described layered image is carried out coding fusion by described video-see client；
6) the described video of described video server reception shares the instruction of video sharing request and the described video observing that client sends
See the video-see request instruction that client sends.
The method that a kind of bandwidth self-adaption the most according to claim 1 improves network video quality, it is characterised in that characterize
The parameter of described network condition includes: network average bandwidth, network delay, network jitter and Network Packet Loss, described network condition
By difference to being divided into well ten rating factor of 1-10, described instruction is for controlling the industry that video allows and refuses, opens and closes
Business logical order, it is preferred that described network hierarchy factor value algorithm is: first, if described network average band width values is more than
The maximum bandwidth needed during Internet video viewing, is set to 10 by the described network hierarchy factor, represents that network is best；Next, as
The most described network average bandwidth does not reaches the requirement that Internet video is clearly watched, then according to the described network average bandwidth model preset
Enclose, network delay value scope, network jitter scope and Network Packet Loss scope, in different spans, arrange different
The network hierarchy factor；If network average band width values is little, then the network hierarchy factor is set to 1.
The method that a kind of bandwidth self-adaption the most according to claim 1 improves network video quality, it is characterised in that described
Weight layer has picture coding region, the image weights factor in described picture coding region and QP value, i.e. luminance quantization parameter.
4. the method improving network video quality according to a kind of bandwidth self-adaption according to any one of claim 1-3, it is special
Levying and be, the described network hierarchy factor determines the image weights factor in described picture coding region, and the described image weights factor is certainly
Determining picture quality, the described image weights factor is divided into ten grades of 1-10 according to described picture quality by differing from, it is preferred that institute
State the image weights factor to be directly proportional to described picture quality.
The method that a kind of bandwidth self-adaption the most according to claim 4 improves network video quality, it is characterised in that described
The weight factor of the zones of different in picture coding region differs, and is positioned at the image weights factor of described picture coding region central authorities
Greatly, picture coding is fine, and picture quality is high, and the image weights factor being positioned at described picture coding edges of regions is little, picture quality
Low.
The method that a kind of bandwidth self-adaption the most according to claim 4 improves network video quality, it is characterised in that described
Image weights factor representation is the coding attention degree to image, if the described network hierarchy factor greatly and is the image district paid attention to
Territory, then the weight factor distributing to described image is big, and picture quality is high, and occupied bandwidth is big, if the described network hierarchy factor is little and
For the image-region thinked little of, then the weight factor distributing to described image is little, thus saves bandwidth, it is preferred that described image
The algorithm of weight factor is: the described image weights factor is determined jointly by the described network hierarchy factor and described picture coding region
Fixed, entreat region in the picture, the described image weights factor is equal to the network hierarchy factor, along with image moves to described edges of regions
Dynamic, the described image weights factor is gradually less than the described network hierarchy factor.
The method that a kind of bandwidth self-adaption the most according to claim 1 improves network video quality, it is characterised in that described
Basal layer is a special weight layer, and its compression of images fusion method is compressed as fusion method with described weight tomographic image,
The network hierarchy factor of described basal layer determines that, is not affected by described network condition, it is preferred that the network of described basal layer
Rating factor is 3.
The method that a kind of bandwidth self-adaption the most according to claim 3 improves network video quality, it is characterised in that described
The QP value of the zones of different in picture coding region differs, and the QP value being positioned at described picture coding region central authorities is little, is positioned at described
The QP value of picture coding edges of regions is big, and described QP value is inversely proportional to the described image weights factor, and the described image weights factor is big,
QP value is little, and picture quality is high, and bandwidth occupancy is big, and the described image weights factor is little, and QP value is big, and poor image quality, bandwidth occupancy is little；
Preferably, described image quantization parameter QP value-based algorithm is: preset a described image weights factor array, the index of described array
For the described image weights factor, the value of described array is QP value, after obtaining QP value, described QP value is transferred to image encoder and enters
Row coding.
9. the method improving network video quality according to a kind of bandwidth self-adaption described in claim 1,7 or 8, its feature exists
In, described video-see client also includes: image encoder, and described image encoder receives described QP value, obtains final
Coded image carries out picture coding, and the compression of territory, layering and zoning, is then taked by the coded image that territory, described layering and zoning is compressed
The mode that linear interpolation merges is fused to single image, if owing to described network condition causes the image of wherein a layer the most described
Video-see client receives, then use the image of other a layer to show.
The method that a kind of bandwidth self-adaption the most according to claim 9 improves network video quality, it is characterised in that institute
The linear fusion relation stating image basis layer and weight layer is: final fusion image=picture coding region * base layer image accounting
+ picture coding region * weight tomographic image accounting.
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| CN108109451A (en) * | 2017-12-13 | 2018-06-01 | 安徽天立泰科技股份有限公司 | A kind of cloud Teaching System based on VR virtual reality technologies |
| CN108574692A (en) * | 2017-03-13 | 2018-09-25 | 霍尼韦尔国际公司 | System and method for using JPEG 2000 adaptively to be streamed |
| CN110365985A (en) * | 2019-06-03 | 2019-10-22 | 西安万像电子科技有限公司 | Image processing method and device |
| CN110996101A (en) * | 2019-11-22 | 2020-04-10 | 网宿科技股份有限公司 | Video coding method and device |
| CN117789734A (en) * | 2024-02-28 | 2024-03-29 | 腾讯科技（深圳）有限公司 | Audio processing method, device, computer equipment and storage medium |
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| CN108109451A (en) * | 2017-12-13 | 2018-06-01 | 安徽天立泰科技股份有限公司 | A kind of cloud Teaching System based on VR virtual reality technologies |
| CN110365985A (en) * | 2019-06-03 | 2019-10-22 | 西安万像电子科技有限公司 | Image processing method and device |
| CN110996101A (en) * | 2019-11-22 | 2020-04-10 | 网宿科技股份有限公司 | Video coding method and device |
| CN117789734A (en) * | 2024-02-28 | 2024-03-29 | 腾讯科技（深圳）有限公司 | Audio processing method, device, computer equipment and storage medium |
| CN117789734B (en) * | 2024-02-28 | 2024-05-28 | 腾讯科技（深圳）有限公司 | Audio processing method, device, computer equipment and storage medium |
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