CN107517386A - A kind of Face Detection unit analysis method and system based on compression information - Google Patents

A kind of Face Detection unit analysis method and system based on compression information Download PDF

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CN107517386A
CN107517386A CN201710650536.1A CN201710650536A CN107517386A CN 107517386 A CN107517386 A CN 107517386A CN 201710650536 A CN201710650536 A CN 201710650536A CN 107517386 A CN107517386 A CN 107517386A
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detection unit
face detection
size
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frame
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舒倩
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Shenzhen Monternet Encyclopedia Information Technology Co Ltd
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Shenzhen Monternet Encyclopedia Information Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/12—Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
    • H04N19/122—Selection of transform size, e.g. 8x8 or 2x4x8 DCT; Selection of sub-band transforms of varying structure or type
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/157—Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
    • H04N19/159—Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30088—Skin; Dermal

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Discrete Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

The present invention discloses a kind of Face Detection unit analysis method and system based on compression information.The inventive method is according to the characteristics of Face Detection, beneficial to the compression information of video code flow, devise that a kind of Face Detection unit analysis method based on compression information is adaptive to should determine that method, by setting suitable piecemeal size, while speed can be performed with boosting algorithm, ensure higher judgment accuracy.

Description

A kind of Face Detection unit analysis method and system based on compression information
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of Face Detection unit analysis based on compression information Method and system.
Background technology
With developing rapidly for multimedia technology and computer networking technology, the main flow that video is increasingly becoming information propagation carries One of body.Either face video retrieval or Online Video U.S. face, accurate quickly Face Detection technology can all strengthen its thing The effect of half work(times.
If, can be accurate although judging using the unified determining method based on pixel, due to judging language in algorithm performs The speed of service of sentence is far longer than the speed of conventional addition subtraction multiplication and division, large-scale using sentence is judged, will greatly reduce calculation The execution speed of method, it is this in high definition, the video image application of the big resolution ratio of ultra high-definition so as to influence the ageing of algorithm Negative effect is especially prominent.
If, can be with the speed of service of boosting algorithm using unified block-based determining method.Notice and actually should In, often scene is more complicated, exist more people, one, situations such as different resolution.The block division of solidification, can not meet reality The complex situations of border application.
The content of the invention
The purpose of the embodiment of the present invention is to propose a kind of Face Detection unit analysis method based on compression information, it is intended to Solve the problems, such as that either efficiency is low or accuracy rate is low for prior art Face Detection unit analysis method.
The embodiment of the present invention is achieved in that a kind of Face Detection unit analysis method based on compression information, described Method includes：
Step A：Enter step B if present frame is infra-frame prediction frame；Otherwise, then into step C；
Step B：First mode is determined using Face Detection unit, determines the Face Detection unit of present frame；
Step C：Second mode is determined using Face Detection unit, determines the Face Detection unit of present frame；
Step D：If current all frames of code stream have all been handled, terminate；Otherwise, next frame is arranged to current Frame, reenter step A.
The another object of the embodiment of the present invention is to propose a kind of Face Detection unit analysis system based on compression information, The system includes：
Infra-frame prediction frame judge module, if for judging present frame as infra-frame prediction frame, into the first Face Detection Unit confirms device；Otherwise, then device is confirmed into the second Face Detection unit；
First Face Detection unit confirms device, for determining first mode using Face Detection unit, determines present frame Face Detection unit；
Second Face Detection unit confirms device, for determining second mode using Face Detection unit, determines present frame Face Detection unit；
Frame handles judge module, if for judging that current all frames of code stream have all been handled, terminates；Otherwise, enter Enter frame number setup module；
Frame number setup module, for next frame to be arranged into present frame, then reenter infra-frame prediction frame and judge mould Block.
Beneficial effects of the present invention
The present invention proposes a kind of Face Detection unit analysis method based on compression information.The inventive method is examined according to the colour of skin The characteristics of survey, beneficial to the compression information of video code flow, devise a kind of Face Detection unit analysis method based on compression information certainly Determination method is adapted to, by setting suitable piecemeal size, while speed can be performed with boosting algorithm, ensures higher judgement Accuracy.
Brief description of the drawings
Fig. 1 is a kind of Face Detection unit analysis method flow diagram based on compression information of the preferred embodiment of the present invention；
Fig. 2 is Step2 method detaileds flow chart in Fig. 1；
Fig. 3 is Step3 method detaileds flow chart in Fig. 1；
Fig. 4 is a kind of Face Detection unit analysis system construction drawing based on compression information of the preferred embodiment of the present invention；
Fig. 5 is the first adjacent block setup module structure chart in Fig. 4；
Fig. 6 is the second adjacent block setup module structure chart in Fig. 4.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and examples The present invention is further elaborated, and for convenience of description, illustrate only the part related to the embodiment of the present invention.It should manage Solution, the specific embodiment that this place is described, it is used only for explaining the present invention, is not intended to limit the invention.
The present invention proposes a kind of Face Detection unit analysis method and system based on compression information.The inventive method according to The characteristics of Face Detection, beneficial to the compression information of video code flow, devise a kind of Face Detection unit point based on compression information Analysis method is adaptive to should determine that method, by setting suitable piecemeal size, while can performing speed with boosting algorithm, ensures higher Judgment accuracy.
Embodiment one
Fig. 1 is a kind of Face Detection unit analysis method flow diagram based on compression information of the preferred embodiment of the present invention；Institute The method of stating comprises the following steps：
Step1：Enter Step2 if present frame is infra-frame prediction frame；Otherwise, then into Step3.
Step2：First mode is determined using Face Detection unit, determines the Face Detection unit of present frame.
Fig. 2 is Step2 method detaileds flow chart in Fig. 1；
Specially：
Step21：Make k=1.
Wherein, mbkRepresent k-th piece that present frame is divided by the size of video encoding standard largest block；sign(mbk) table Show mbkManipulation designator, initial value 0.
Step22：Calculate mbkThe one-dimensional size sizef (mb of Face Detection unitk)；
Wherein, size (mbk) represent mbkOne-dimensional prediction block size；sizef(mbk) represent mbkFace Detection unit One-dimensional size；Represent mbkRight adjacent block, lower adjacent block, bottom right adjacent block； Represent respectivelyOne-dimensional prediction block size；p(mbk) represent mbkPredictive mode；DC, Planar are represented The intra prediction mode of video encoding standard known in the industry.
Step23：If sizef (mbk)=size (mbk) * 2, then set Into Step24；Otherwise, then into Step24.
Step24：K=k+1.
Step25：If sign (mbk)=1, then reenter Step24；Otherwise, then into Step26.
Step26：If k≤num, into Step22；Otherwise, then into Step4.
Wherein, num represents the number of blocks that current frame image is divided by the size of video encoding standard largest block.
Step3：Second mode is determined using Face Detection unit, determines the Face Detection unit of present frame.
Fig. 3 is Step3 method detaileds flow chart in Fig. 1；
Specially：
Step30：Make k=1.
Step31：If p (mbk) be inter-frame forecast mode, then sizef (mbk)=sizef (ref_mbk), subsequently into Step34；Otherwise, into Step32；
Wherein, sizef (ref_mbk) represent mbkReference block ref_mbkThe one-dimensional size of Face Detection unit.
Step32：Calculate mbkThe one-dimensional size sizef (mb of Face Detection unitk)；
Wherein, size (mbk) represent mbkOne-dimensional prediction block size；sizef(mbk) represent mbkFace Detection unit One-dimensional size；Represent mbkRight adjacent block, lower adjacent block, bottom right adjacent block； Represent respectivelyOne-dimensional prediction block size；p(mbk) represent mbkPredictive mode；DC, Planar are represented The intra prediction mode of video encoding standard known in the industry.
Step33：If sizef (mbk)=size (mbk) * 2, then set Into Step34；Otherwise, then into Step34.
Step34：K=k+1.
Step35：If sign (mbk)=1, then reenter Step34；Otherwise, then into Step36.
Step36：If k≤num, into Step31；Otherwise, then into Step4.
Step4：If current all frames of code stream have all been handled, terminate；Otherwise, next frame is arranged to current Frame, reenter Step1.
Embodiment two
Fig. 4 is a kind of Face Detection unit analysis system construction drawing based on compression information of the preferred embodiment of the present invention.Institute The system of stating includes：
Infra-frame prediction frame judge module, if for judging present frame as infra-frame prediction frame, into the first Face Detection Unit confirms device；Otherwise, then device is confirmed into the second Face Detection unit.
First Face Detection unit confirms device, for determining first mode using Face Detection unit, determines present frame Face Detection unit.
Second Face Detection unit confirms device, for determining second mode using Face Detection unit, determines present frame Face Detection unit.
Frame handles judge module, if for judging that current all frames of code stream have all been handled, terminates；Otherwise, enter Enter frame number setup module；
Frame number setup module, for next frame to be arranged into present frame, then reenter infra-frame prediction frame and judge mould Block.
Fig. 5 is the first adjacent block setup module structure chart in Fig. 4；
Further, the first Face Detection unit confirms that device includes：
First piece of sequence number initialization module, for making k=1；Wherein, mbkRepresent that present frame is maximum by video encoding standard K-th piece of the size division of block；sign(mbk) represent mbkManipulation designator, initial value 0.
The one-dimensional Size calculation module of first Face Detection unit, for calculating mbkThe one-dimensional size of Face Detection unit sizef(mbk)；
Wherein, size (mbk) represent mbkOne-dimensional prediction block size；sizef(mbk) represent mbkFace Detection unit One-dimensional size；Represent mbkRight adjacent block, lower adjacent block, bottom right adjacent block； Represent respectivelyOne-dimensional prediction block size；p(mbk) represent mbkPredictive mode；DC, Planar are represented The intra prediction mode of video encoding standard known in the industry.
The one-dimensional size judge module of first Face Detection unit, if for judging sizef (mbk)=size (mbk) * 2, Then enter the first adjacent block setup module, subsequently into first piece of sequence number setup module；Otherwise, then set into first piece of sequence number Module.
First adjacent block setup module, for setting
First piece of sequence number setup module, for making k=k+1；
First piece of manipulation designator judge module, if for judging sign (mbk)=1, then reenter first piece of sequence Number setup module；Otherwise, then into first piece of sequence number threshold value judgment module；
First piece of sequence number threshold value judgment module, if for judging k≤num, it is one-dimensional into the first Face Detection unit Size calculation module；Otherwise, then into frame number setup module.
Wherein, num represents the number of blocks that current frame image is divided by the size of video encoding standard largest block.
Fig. 6 is the second adjacent block setup module structure chart in Fig. 4.
Further, the second Face Detection unit confirms that device includes：
Second piece of sequence number initialization module, for making k=1；Wherein, mbkRepresent that present frame is maximum by video encoding standard K-th piece of the size division of block；sign(mbk) represent mbkManipulation designator, initial value 0.
Inter-frame forecast mode judge module, if for judging p (mbk) be inter-frame forecast mode, then into second colour of skin The one-dimensional size setup module of unit is detected, otherwise into the one-dimensional Size calculation module of the second Face Detection unit；
The one-dimensional size setup module of second Face Detection unit, for setting sizef (mbk)=sizef (ref_mbk), so Enter second piece of sequence number setup module afterwards；
The one-dimensional Size calculation module of second Face Detection unit, for calculating mbkThe one-dimensional size of Face Detection unit sizef(mbk)；
Wherein, size (mbk) represent mbkOne-dimensional prediction block size；sizef(mbk) represent mbkFace Detection unit One-dimensional size；Represent mbkRight adjacent block, lower adjacent block, bottom right adjacent block； Represent respectivelyOne-dimensional prediction block size；p(mbk) represent mbkPredictive mode；DC, Planar are represented The intra prediction mode of video encoding standard known in the industry.
The one-dimensional size judge module of second Face Detection unit, if for judging sizef (mbk)=size (mbk) * 2, Then enter the second adjacent block setup module, subsequently into second piece of sequence number setup module；Otherwise, then set into second piece of sequence number Module.
Second adjacent block setup module, for setting
Second piece of sequence number setup module, for making k=k+1；
Second piece of manipulation designator judge module, if for judging sign (mbk)=1, then reenter second piece of sequence Number setup module；Otherwise, then into second piece of sequence number threshold value judgment module；
Second piece of sequence number threshold value judgment module, if for judging k≤num, into inter-frame forecast mode judge module； Otherwise, then into frame number setup module.
Wherein, num represents the number of blocks that current frame image is divided by the size of video encoding standard largest block.
Can it will be understood by those skilled in the art that realizing that all or part of step in above-described embodiment method is So that by programmed instruction related hardware, come what is completed, described program can be stored in a computer read/write memory medium, Described storage medium can be ROM, RAM, disk, CD etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention All any modification, equivalent and improvement made within refreshing and principle etc., should be included in the scope of the protection.

Claims (6)

  1. A kind of 1. Face Detection unit analysis method based on compression information, it is characterised in that methods described includes：
    Step A：Enter step B if present frame is infra-frame prediction frame；Otherwise, then into step C；
    Step B：First mode is determined using Face Detection unit, determines the Face Detection unit of present frame；
    Step C：Second mode is determined using Face Detection unit, determines the Face Detection unit of present frame；
    Step D：If current all frames of code stream have all been handled, terminate；Otherwise, next frame is arranged to present frame, weight Newly enter step A.
  2. 2. the Face Detection unit analysis method as claimed in claim 1 based on compression information, it is characterised in that
    Described to determine first mode using Face Detection unit, the Face Detection unit for determining present frame is specially：
    Step21：Make k=1；
    Wherein, mbkRepresent k-th piece that present frame is divided by the size of video encoding standard largest block；sign(mbk) represent mbk Manipulation designator, initial value 0；
    Step22：Calculate mbkThe one-dimensional size sizef (mb of Face Detection unitk)；
    Wherein, size (mbk) represent mbkOne-dimensional prediction block size；sizef(mbk) represent mbkThe one-dimensional chi of Face Detection unit It is very little；Represent mbkRight adjacent block, lower adjacent block, bottom right adjacent block；Point Do not representOne-dimensional prediction block size；p(mbk) represent mbkPredictive mode；DC, Planar represent industry The intra prediction mode of interior known video encoding standard；
    Step23：If sizef (mbk)=size (mbk) * 2, then set Into Step24；Otherwise, then into Step24；
    Step24：K=k+1；
    Step25：If sign (mbk)=1, then reenter Step24；Otherwise, then into Step26；
    Step26：If k≤num, into Step22；Otherwise, then into step D；
    Wherein, num represents the number of blocks that current frame image is divided by the size of video encoding standard largest block.
  3. 3. the Face Detection unit analysis method as claimed in claim 1 based on compression information, it is characterised in that
    Described to determine second mode using Face Detection unit, the Face Detection unit for determining present frame is specially：
    Step30：Make k=1；
    Step31：If p (mbk) be inter-frame forecast mode, then sizef (mbk)=sizef (ref_mbk), subsequently into Step34；Otherwise, into Step32；
    Wherein, sizef (ref_mbk) represent mbkReference block ref_mbkThe one-dimensional size of Face Detection unit；
    Step32：Calculate mbkThe one-dimensional size sizef (mb of Face Detection unitk)；
    Wherein, size (mbk) represent mbkOne-dimensional prediction block size；sizef(mbk) represent mbkThe one-dimensional chi of Face Detection unit It is very little；Represent mbkRight adjacent block, lower adjacent block, bottom right adjacent block； Represent respectivelyOne-dimensional prediction block size；p(mbk) represent mbkPredictive mode；DC, Planar are represented The intra prediction mode of video encoding standard known in the industry；
    Step33：If sizef (mbk)=size (mbk) * 2, then set Into Step34；Otherwise, then into Step34；
    Step34：K=k+1；
    Step35：If sign (mbk)=1, then reenter Step34；Otherwise, then into Step36；
    Step36：If k≤num, into Step31；Otherwise, then into step D.
  4. 4. a kind of Face Detection unit analysis system based on compression information, it is characterised in that the system includes：
    Infra-frame prediction frame judge module, if for judging present frame as infra-frame prediction frame, into the first Face Detection unit Confirm device；Otherwise, then device is confirmed into the second Face Detection unit；
    First Face Detection unit confirms device, for determining first mode using Face Detection unit, determines the skin of present frame Color detects unit；
    Second Face Detection unit confirms device, for determining second mode using Face Detection unit, determines the skin of present frame Color detects unit；
    Frame handles judge module, if for judging that current all frames of code stream have all been handled, terminates；Otherwise, into frame Sequence number setup module；
    Frame number setup module, for next frame to be arranged into present frame, then reenter infra-frame prediction frame judge module.
  5. 5. the Face Detection unit analysis system as claimed in claim 4 based on compression information, it is characterised in that described first Face Detection unit confirms that device includes：
    First piece of sequence number initialization module, for making k=1；Wherein, mbkRepresent that present frame presses the chi of video encoding standard largest block K-th piece of very little division；sign(mbk) represent mbkManipulation designator, initial value 0；
    The one-dimensional Size calculation module of first Face Detection unit, for calculating mbkThe one-dimensional size sizef of Face Detection unit (mbk)；
    Wherein, size (mbk) represent mbkOne-dimensional prediction block size；sizef(mbk) represent mbkThe one-dimensional chi of Face Detection unit It is very little；Represent mbkRight adjacent block, lower adjacent block, bottom right adjacent block； Represent respectivelyOne-dimensional prediction block size；p(mbk) represent mbkPredictive mode；DC, Planar are represented The intra prediction mode of video encoding standard known in the industry；
    The one-dimensional size judge module of first Face Detection unit, if for judging sizef (mbk)=size (mbk) * 2, then enter Enter the first adjacent block setup module, subsequently into first piece of sequence number setup module；Otherwise, then mould is set into first piece of sequence number Block；
    First adjacent block setup module, for setting
    First piece of sequence number setup module, for making k=k+1；
    First piece of manipulation designator judge module, if for judging sign (mbk)=1, then reenter first piece of sequence number and set Module；Otherwise, then into first piece of sequence number threshold value judgment module；
    First piece of sequence number threshold value judgment module, if for judging k≤num, into the first one-dimensional size of Face Detection unit Computing module；Otherwise, then into frame number setup module；
    Wherein, num represents the number of blocks that current frame image is divided by the size of video encoding standard largest block.
  6. 6. the Face Detection unit analysis system as claimed in claim 4 based on compression information, it is characterised in that described second Face Detection unit confirms that device includes：
    Second piece of sequence number initialization module, for making k=1；Wherein, mbkRepresent that present frame presses the chi of video encoding standard largest block K-th piece of very little division；sign(mbk) represent mbkManipulation designator, initial value 0；
    Inter-frame forecast mode judge module, if for judging p (mbk) be inter-frame forecast mode, then into the second Face Detection list The one-dimensional size setup module in position, otherwise into the one-dimensional Size calculation module of the second Face Detection unit；
    The one-dimensional size setup module of second Face Detection unit, for setting sizef (mbk)=sizef (ref_mbk), Ran Houjin Enter second piece of sequence number setup module；
    The one-dimensional Size calculation module of second Face Detection unit, for calculating mbkThe one-dimensional size sizef of Face Detection unit (mbk)；
    Wherein, size (mbk) represent mbkOne-dimensional prediction block size；sizef(mbk) represent mbkThe one-dimensional chi of Face Detection unit It is very little；Represent mbkRight adjacent block, lower adjacent block, bottom right adjacent block； Represent respectivelyOne-dimensional prediction block size；p(mbk) represent mbkPredictive mode；DC, Planar are represented The intra prediction mode of video encoding standard known in the industry；
    The one-dimensional size judge module of second Face Detection unit, if for judging sizef (mbk)=size (mbk) * 2, then enter Enter the second adjacent block setup module, subsequently into second piece of sequence number setup module；Otherwise, then mould is set into second piece of sequence number Block；
    Second adjacent block setup module, for setting
    Second piece of sequence number setup module, for making k=k+1；
    Second piece of manipulation designator judge module, if for judging sign (mbk)=1, then reenter second piece of sequence number and set Module；Otherwise, then into second piece of sequence number threshold value judgment module；
    Second piece of sequence number threshold value judgment module, if for judging k≤num, into inter-frame forecast mode judge module；It is no Then, then into frame number setup module；
    Wherein, num represents the number of blocks that current frame image is divided by the size of video encoding standard largest block.
CN201710650536.1A 2017-08-02 2017-08-02 A kind of Face Detection unit analysis method and system based on compression information Pending CN107517386A (en)

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CN101505430A (en) * 2008-09-18 2009-08-12 西南交通大学 Intra-frame updating method for head and shoulder video sequence
CN101563925A (en) * 2006-12-22 2009-10-21 高通股份有限公司 Decoder-side region of interest video processing
CN102884536A (en) * 2010-04-07 2013-01-16 苹果公司 Skin tone and feature detection for video conferencing compression
WO2015122726A1 (en) * 2014-02-13 2015-08-20 한국과학기술원 Pvc method using visual recognition characteristics

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101563925A (en) * 2006-12-22 2009-10-21 高通股份有限公司 Decoder-side region of interest video processing
CN101309426A (en) * 2008-07-10 2008-11-19 北京邮电大学 Error code resisting method of visual telephone video transmission based on human face detection
CN101505430A (en) * 2008-09-18 2009-08-12 西南交通大学 Intra-frame updating method for head and shoulder video sequence
CN102884536A (en) * 2010-04-07 2013-01-16 苹果公司 Skin tone and feature detection for video conferencing compression
WO2015122726A1 (en) * 2014-02-13 2015-08-20 한국과학기술원 Pvc method using visual recognition characteristics

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