CN110545434B - Method and system for adjusting rate control of GOP (group of pictures) layer of transcoding slice source - Google Patents

Method and system for adjusting rate control of GOP (group of pictures) layer of transcoding slice source Download PDF

Info

Publication number
CN110545434B
CN110545434B CN201910903294.1A CN201910903294A CN110545434B CN 110545434 B CN110545434 B CN 110545434B CN 201910903294 A CN201910903294 A CN 201910903294A CN 110545434 B CN110545434 B CN 110545434B
Authority
CN
China
Prior art keywords
gop
bit
current
complexity
scene
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910903294.1A
Other languages
Chinese (zh)
Other versions
CN110545434A (en
Inventor
舒倩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Mengwang Video Co ltd
Original Assignee
Shenzhen Mengwang Video Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Mengwang Video Co ltd filed Critical Shenzhen Mengwang Video Co ltd
Priority to CN201910903294.1A priority Critical patent/CN110545434B/en
Publication of CN110545434A publication Critical patent/CN110545434A/en
Application granted granted Critical
Publication of CN110545434B publication Critical patent/CN110545434B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • H04N19/136—Incoming video signal characteristics or properties
    • H04N19/14—Coding unit complexity, e.g. amount of activity or edge presence estimation
    • 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
    • H04N19/146—Data rate or code amount at the encoder output
    • 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
    • H04N19/177—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 a group of pictures [GOP]
    • 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
    • H04N19/40—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using video transcoding, i.e. partial or full decoding of a coded input stream followed by re-encoding of the decoded output stream

Abstract

The invention provides a method and a system for regulating the GOP (group of pictures) layer rate of a transcoding film source. The method of the invention uses the GOP motion vector intensity of the transcoding film source to represent the complexity of the GOP motion vector intensity, and then uses the complexity to adjust the GOP layer code rate distribution of the transcoding end, so that the transcoder can further adjust the GOP layer code rate distribution according to the complexity of the film source, thereby achieving the optimization of transcoding performance. In addition, the GOP complexity analysis method based on the GOP motion vector strength of the transcoding slice source has smaller calculation amount compared with an analysis method designed for an original video image because the GOP complexity analysis method directly utilizes the compression information of the transcoding slice source.

Description

Method and system for adjusting rate control of GOP (group of pictures) layer of transcoding slice source
Technical Field
The invention relates to the field of video coding and decoding, in particular to a method and a system for regulating the rate of a GOP layer of a transcoding film source.
Background
Video sources of different complexity have completely different characteristics in temporal information redundancy: the sequence with violent motion has low time redundancy, and the sequence with violent motion has high time redundancy when the sequence is relatively static. The conventional three-level rate control algorithm comprises a Group of Pictures (GOP) layer, a picture layer, and a coding unit layer (or a macroblock layer), wherein a method for equally allocating code rates is adopted at the GOP layer. This rate control method is not optimized for transcoding relative to stationary sources because the average allocation method does not take into account the different properties of different GOPs. Meanwhile, when video transcoding is carried out, although the transcoder can directly adopt an analysis method designed for an original video image, the transcoder omits the fact that a transcoding slice source carries compressed information, so that the transcoder loses the advantage of the calculation amount.
Disclosure of Invention
The embodiment of the invention aims to provide a method for regulating the GOP (group of pictures) layer rate of a transcoded slice source, and aims to solve the problems that the transcoding of a relatively static slice source in the prior art is not optimized and the calculation amount is large.
The embodiment of the invention is realized in such a way that a transcoding slice source GOP layer rate control adjusting method comprises the following steps:
calculating the complexity of each GOP in a transcoding source;
and according to the complexity of each GOP of the transcoding slice source, carrying out code rate allocation of a GOP layer.
Further, the calculating the complexity of each GOP of the transcoding source comprises the following steps:
calculating the number of current GOP scenes;
calculating the complexity of each scene of the current GOP;
the complexity of the current GOP is obtained.
Another objective of an embodiment of the present invention is to provide a system for adjusting a rate of a source GOP of a transcoded slice, where the system includes:
GOP complexity calculating means for calculating the complexity of each GOP in the transcoding slice source;
and the GOP layer code rate distribution module is used for carrying out code rate distribution of the GOP layer according to the complexity of each GOP of the transcoding slice source.
Further, the GOP complexity calculating device includes:
the GOP scene quantity calculating module is used for calculating the quantity of the current GOP scenes;
the GOP scene complexity calculating module is used for calculating the complexity of each scene of the current GOP;
and the GOP complexity calculating module is used for acquiring the complexity of the current GOP.
The invention has the advantages of
The invention provides a method and a system for regulating the GOP (group of pictures) layer rate of a transcoding film source. The method of the invention uses the GOP motion vector intensity of the transcoding film source to represent the complexity of the GOP motion vector intensity, and then uses the complexity to adjust the GOP layer code rate distribution of the transcoding end, so that the transcoder can further adjust the GOP layer code rate distribution according to the complexity of the film source, thereby achieving the optimization of transcoding performance. In addition, the GOP complexity analysis method based on the GOP motion vector strength of the transcoding slice source has smaller calculation amount compared with an analysis method designed for an original video image because the GOP complexity analysis method directly utilizes the compression information of the transcoding slice source.
Drawings
Fig. 1 is a flowchart of a transcoding slice source GOP layer rate control adjustment method according to a preferred embodiment of the present invention;
FIG. 2 is a flowchart of a detailed method for calculating the complexity of a current GOP according to an embodiment of the present invention;
FIG. 3 is a detailed flowchart of the temporary variable calculation method in Step11 of FIG. 2;
fig. 4 is a diagram of a source GOP layer rate control adjustment system of the transcoding slice in accordance with the preferred embodiment of the present invention;
FIG. 5 is a block diagram of the GOP complexity calculating apparatus of FIG. 4;
fig. 6 is a block diagram of a temporary variable calculation module for the number of current GOP scenes in the GOP number of scenes calculation module of fig. 5.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments, and for convenience of description, only portions related to the embodiments of the present invention are shown. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a method and a system for regulating the GOP (group of pictures) layer rate of a transcoding film source. The method of the invention uses the GOP motion vector intensity of the transcoding film source to represent the complexity of the GOP motion vector intensity, and then uses the complexity to adjust the GOP layer code rate distribution of the transcoding end, so that the transcoder can further adjust the GOP layer code rate distribution according to the complexity of the film source, thereby achieving the optimization of transcoding performance. In addition, the GOP complexity analysis method based on the GOP motion vector strength of the transcoding slice source has smaller calculation amount compared with an analysis method designed for an original video image because the GOP complexity analysis method directly utilizes the compression information of the transcoding slice source.
Example one
Fig. 1 is a flowchart of a transcoding slice source GOP layer rate control adjustment method according to a preferred embodiment of the present invention; the method comprises the following steps:
step1: calculating the complexity of each GOP in a transcoding source;
FIG. 2 is a flowchart of a detailed method for calculating the complexity of a current GOP according to an embodiment of the present invention; the method comprises the following steps (Step 11-Step 13):
step11: calculating the number K of current GOP scenes n 。
Figure BDA0002208524360000031
Wherein n represents the index of the current GOP; num _ Iframe represents the number of I frames contained within the current GOP; tempk represents an intermediate temporary variable of the current GOP scene number; fast represents an acceleration variable, and if the system user tends to execute the speed, the variable can be set to a first value to select the calculation step with a small calculation amount, and if the system user tends to execute the effect, the variable can be set to a second value to select the calculation step with good algorithm performance. It is understood that the acceleration variable may also be set to other values for indicating the selection of different calculation steps, and is not intended to limit the scope of the present invention.
FIG. 3 is a detailed flowchart of a method for calculating an intermediate temporary variable of the current GOP scene number in Step11 of FIG. 2; tempk is calculated as follows:
step A1: and assigning a tempk initial value of 1, and assigning a current scene judgment frame initial value as a first frame.
Step A2: the first coefficient t1= bit _ I _ next/bit _ I is calculated.
Step A3: if the frame meeting bit _ cur/bit _ I _ next ≧ Thres exists in the current GOP, setting the frame with the minimum playing sequence number in the frames meeting the conditions as a current scene judgment frame, and then entering step A4; otherwise, judging that the current scene judgment frame is not set successfully, and finishing the calculation of tempk.
Step A4: the second coefficient t2= bit _ I _ next/bit _ I is calculated.
Step A5: if δ =1, tempk = tempk +1, t1= t2 is set, and then step A3 is repeated; otherwise, t1= t2 is set, and then step A3 is repeated.
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0002208524360000032
bit _ I represents a current scene judgment frame, bit _ I _ next represents a bit of a frame after the playing sequence number of the current scene judgment frame, and bit _ cur represents a current frame bit; thres represents a threshold value, and generally, thres is more than or equal to 2; δ represents an identifier variable;
step12: calculating the complexity of each scene of the current GOP;
Figure BDA0002208524360000041
therein, com n，k Representing the complexity of the kth scene of the current GOP; k denotes a scene number of the current GOP; weight x i，j ＝|1/2*wb-j|、weighty i，j = 1/2 hb-i respectively represents the first and second position weights of the ith row and jth column block of the frame after the playing sequence number of the current scene judgment frame; sum and | respectively represent summation and absolute value; wb and hb respectively represent the column width and the line width of the image in units of blocks; mvx i，j 、mvy i，j Respectively representing the x-axis component and the y-axis component of the motion vector of the ith row and jth column block;
step13: obtaining complexity com of current GOP n ＝mean(com n，k |1≤k≤K n )。
Where mean represents the mean operation.
Step2: and according to the complexity of each GOP of the transcoding slice source, carrying out code rate allocation of a GOP layer.
Figure BDA0002208524360000042
Wherein GOP _ bit n Bit representing the current GOP allocation, GOP _ bit min Indicates that the transcoder sets the minimum GOP bit value, GOP _ bit max Represents the maximum GOP bit value set by the transcoder;
Figure BDA0002208524360000043
bit represents the bit of the transcoding,
Figure BDA0002208524360000044
representing the current remaining bits; n denotes the number of GOPs contained by the current transcoded slice source. GOP _ bit 1 、GOP_bit n-1 Respectively representing the bits allocated by the 1 st and the n-1 st GOPs of the current transcoding source.
Example two
Fig. 4 is a diagram of a source GOP layer rate control adjustment system of the transcoding slice in accordance with the preferred embodiment of the present invention; the system comprises:
GOP complexity calculating means for calculating the complexity of each GOP in the transcoding slice source;
the GOP layer code rate distribution module is used for distributing the code rate of the GOP layer according to the complexity of each GOP of the transcoding slice source;
FIG. 5 is a block diagram of the GOP complexity calculating apparatus of FIG. 4; the GOP complexity calculation device includes:
a GOP scene number calculating module for calculating the current GOP scene number K n ；
Figure BDA0002208524360000051
Wherein n represents the index of the current GOP; num _ Iframe represents the number of I frames contained within the current GOP; tempk represents a temporary variable in the middle of the current GOP scene number; fast represents an acceleration variable, and if the system user tends to execute the speed, the variable can be set to a first value to select the calculation step with a small calculation amount, and if the system user tends to execute the effect, the variable can be set to a second value to select the calculation step with good algorithm performance. It is understood that the acceleration variable may also be set to other values for indicating the selection of different calculation steps, and is not intended to limit the scope of the present invention.
Fig. 6 is a block diagram of a temporary variable calculation module in the GOP scene number calculation module of fig. 5.
The initialization module is used for assigning an initial value 1 to the temporary variable tempk and assigning the initial value to a first frame for the current scene judgment frame;
a first coefficient calculating module, configured to calculate a first coefficient t1= bit _ I _ next/bit _ I;
the first judgment processing module is used for judging whether a frame meeting bit _ cur/bit _ I _ next larger than or equal to Thres exists in the current GOP, setting the frame with the minimum playing sequence number in the frames meeting the conditions as a current scene judgment frame, and then entering the second coefficient calculation module; otherwise, judging that the current scene judgment frame is not successfully set, and finishing the calculation of tempk;
a second coefficient calculation module for calculating a second coefficient t2= bit _ I _ next/bit _ I;
the second judgment processing module is used for judging that if delta =1, tempk = tempk +1 and t1= t2 are set, and then the first judgment processing module is returned; otherwise, setting t1= t2, and then returning to the first judgment processing module;
wherein the content of the first and second substances,
Figure BDA0002208524360000052
bit _ I represents a current scene judgment frame, bit _ I _ next represents a bit of a frame behind a playing sequence number of the current scene judgment frame, and bit _ cur represents a bit of the current frame; thres represents a threshold value, and generally, thres is more than or equal to 2;
the GOP scene complexity calculating module is used for calculating the complexity of each scene of the current GOP;
Figure BDA0002208524360000053
therein, com n，k Representing the complexity of the kth scene of the current GOP; k denotes a scene number of the current GOP; weight x i，j ＝|1/2*wb-j|、weighty i，j = 1/2 hb-i respectively represents the first and second position weights of the ith row and jth column block of the frame after the playing sequence number of the current scene judgment frame; sum, | | and mean respectively represent summation, absolute value and mean operation; wb and hb respectively represent the column width and the line width of the image in units of blocks; mvx i，j 、mvy i，j Respectively representing the x-axis and y-axis components of the motion vector of the ith row and jth column block;
the GOP complexity calculating module is used for acquiring the complexity of the current GOP;
com n ＝mean(com n，k |1≤k≤K n )。
further, in the GOP layer code rate allocation module, according to the complexity of each GOP of the current slice source, the code rate allocation of the GOP layer specifically includes:
Figure BDA0002208524360000061
wherein GOP _ bit n Bit representing the current GOP allocation, GOP _ bit min Means that the transcoder sets the minimum GOP bit value, GOP _ bit max Represents the maximum GOP bit value set by the transcoder;
Figure BDA0002208524360000062
bit represents the bit of the transcoding,
Figure BDA0002208524360000063
representing the current remaining bits; n denotes the number of GOPs contained by the current transcoded slice source. GOP _ bit 1 、GOP_bit n-1 Respectively representing the bits allocated by the 1 st and the n-1 st GOPs of the current transcoding source.
It will be understood by those skilled in the art that all or part of the steps in the method according to the above embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, which may be ROM, RAM, magnetic disk, optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (4)

1. A method for adjusting GOP layer rate control of a transcoding slice source is characterized in that,
calculating the complexity of each GOP in a transcoding source;
according to the complexity of each GOP of a transcoding slice source, code rate allocation of a GOP layer is carried out;
the method for calculating the complexity of each GOP in the transcoded video source comprises the following steps:
calculating the number of current GOP scenes;
calculating the complexity of each scene of the current GOP;
acquiring the complexity of the current GOP;
calculating the number K of current GOP scenes n The method comprises the following specific steps:
Figure FDA0003906591000000011
wherein n represents the index of the current GOP; num _ Iframe represents the number of I frames contained within the current GOP; tempk denotes a temporary variable; fast represents an acceleration variable, if the system user tends to execute the speed, the acceleration variable is set to be a first value, and if the system user tends to execute the effect, the acceleration variable is set to be a second value;
tempk is calculated as follows:
step A1: assigning a tempk initial value of 1, and assigning an initial value as a first frame for a current scene judgment frame;
step A2: calculating a first coefficient t1= bit _ I _ next/bit _ I;
step A3: if the frame meeting bit _ cur/bit _ I _ next ≧ Thres exists in the current GOP, setting the frame with the minimum playing sequence number in the frames meeting the conditions as a current scene judgment frame, and then entering step A4; otherwise, judging that the current scene judgment frame is not successfully set, and finishing the calculation of tempk;
step A4: calculating a second coefficient t2= bit _ I _ next/bit _ I;
step A5: if δ =1, tempk = tempk +1, t1= t2 is set, and then step A3 is repeated; otherwise, setting t1= t2, and then returning to step A3; δ represents an identifier variable;
wherein the content of the first and second substances,
Figure FDA0003906591000000012
the bit representing the current scene judgment frame, the bit _ I _ next representing the bit of the frame after the playing sequence number of the current scene judgment frame, and the bit _ cur representing the bit of the current frame; thres represents a threshold value, thres is more than or equal to 2;
the calculating complexity of each scene of the current GOP is specifically as follows:
Figure FDA0003906591000000021
therein, com n,k Representing the complexity of the kth scene of the current GOP; k denotes a scene number of the current GOP; weight x i,j ＝|1/2*wb-j|、weighty i,j = 1/2 hb-i respectively represents the first and second position weights of the ith row and jth column block of the frame after the playing sequence number of the current scene judgment frame; sum, | | and mean respectively represent summation, absolute value and mean operation; wb and hb respectively represent the column width and the line width of the image in units of blocks; mvx i,j 、mvy i,j Respectively representing the x-axis and y-axis components of the motion vector of the ith row and jth column block;
the complexity of acquiring the current GOP is specifically:
com n ＝mean(com n,k |1≤k≤K n )。
2. the method for adjusting the rate of a GOP layer of a transcoded slice source according to claim 1, wherein the rate of the GOP layer is allocated according to the complexity of each GOP of the transcoded slice source by:
Figure FDA0003906591000000022
wherein GOP _ bit n Bit representing the current GOP allocation, GOP _ bit min Indicates that the transcoder sets the minimum GOP bit value, GOP _ bit max Represents the maximum GOP bit value set by the transcoder;
Figure FDA0003906591000000023
bit represents the bit of the transcoding,
Figure FDA0003906591000000024
representing the current GOP residual bit, bitl n-1 A previous GOP remaining bit representing a current GOP; n represents the number of GOPs contained in the current transcoding source; GOP _ bit 1 、GOP_bit n-1 Respectively representing the bits allocated by the 1 st and the (n-1) th GOPs of the current transcoding source.
3. A system for GOP-level rate control adjustment of a source of transcoded slices, the system comprising:
GOP complexity calculating means for calculating the complexity of each GOP in the transcoding slice source;
the GOP layer code rate distribution module is used for distributing the code rate of the GOP layer according to the complexity of each GOP of the transcoding slice source;
the GOP complexity calculation apparatus includes:
the GOP scene number calculating module is used for calculating the number of current GOP scenes;
the GOP scene complexity calculating module is used for calculating the complexity of each scene of the current GOP;
the GOP complexity calculating module is used for acquiring the complexity of the current GOP;
the GOP scene number calculating module is specifically configured to calculate the current GOP scene number as follows:
Figure FDA0003906591000000031
wherein n represents the index of the current GOP; num _ Iframe represents the number of I frames contained within the current GOP; tempk denotes a temporary variable; fast represents an acceleration variable, if the system user tends to execute the speed, the acceleration variable is set to be a first value, and if the system user tends to execute the effect, the acceleration variable is set to be a second value;
the initialization module is used for assigning an initial value 1 to the temporary variable tempk, and assigning an initial value to a first frame for the current scene judgment frame;
a first coefficient calculation module for calculating a first coefficient t1= bit _ I _ next/bit _ I;
the first judgment processing module is used for judging whether a frame meeting bit _ cur/bit _ I _ next larger than or equal to Thres exists in the current GOP, setting the frame with the minimum playing sequence number in the frames meeting the conditions as a current scene judgment frame, and then entering the second coefficient calculation module; otherwise, judging that the current scene judgment frame is not successfully set, and finishing the calculation of tempk;
a second coefficient calculating module, configured to calculate a second coefficient t2= bit _ I _ next/bit _ I;
the second judgment processing module is used for judging that if delta =1, tempk = tempk +1 and t1= t2 are set, and then the first judgment processing module is returned; otherwise, setting t1= t2, and then returning to the first judgment processing module;
wherein the content of the first and second substances,
Figure FDA0003906591000000032
the bit representing the current scene judgment frame, the bit _ I _ next representing the bit of the frame after the playing sequence number of the current scene judgment frame, and the bit _ cur representing the bit of the current frame; thres represents a threshold value, and Thres is more than or equal to 2;
in the GOP scene complexity calculating module, the complexity of each scene used for calculating the current GOP is specifically:
Figure FDA0003906591000000033
wherein, com n,k Representing the complexity of the kth scene of the current GOP; k denotes a scene number of the current GOP; weight x i,j ＝|1/2*wb-j|、weighty i,j = 1/2 hb-i respectively represents the first and second position weights of the ith row and jth column block of the frame after the playing sequence number of the current scene judgment frame; sum, | |, mean represent summation, absolute value, mean operation respectively; wb and hb respectively represent the column width and the line width of the image in units of blocks; mvx i,j 、mvy i,j Respectively representing the x-axis and y-axis components of the motion vector of the ith row and jth column block;
in the GOP complexity calculation module, the complexity for obtaining the current GOP is specifically:
com n ＝mean(com n,k |1≤k≤K n )。
4. the system of claim 3, wherein the GOP layer rate allocation module allocates, according to the complexity of each GOP of the current slice source, the GOP layer rate specifically as follows:
Figure FDA0003906591000000041
wherein GOP _ bit n Bit representing the current GOP allocation, GOP _ bit min Indicates that the transcoder sets the minimum GOP bit value, GOP _ bit max Represents the maximum GOP bit value set by the transcoder;
Figure FDA0003906591000000042
bit represents the bit of the transcoding,
Figure FDA0003906591000000043
representing the current GOP residual bit, bitl n-1 A previous GOP remaining bit representing a current GOP; n represents the number of GOPs (group of pictures), GOP _ bit, contained in the current transcoding source 1 、GOP_bit n-1 Respectively representing the bits allocated by the 1 st and the (n-1) th GOPs of the current transcoding source.
CN201910903294.1A 2019-09-20 2019-09-20 Method and system for adjusting rate control of GOP (group of pictures) layer of transcoding slice source Active CN110545434B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910903294.1A CN110545434B (en) 2019-09-20 2019-09-20 Method and system for adjusting rate control of GOP (group of pictures) layer of transcoding slice source

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910903294.1A CN110545434B (en) 2019-09-20 2019-09-20 Method and system for adjusting rate control of GOP (group of pictures) layer of transcoding slice source

Publications (2)

Publication Number Publication Date
CN110545434A CN110545434A (en) 2019-12-06
CN110545434B true CN110545434B (en) 2022-12-02

Family

ID=68714395

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910903294.1A Active CN110545434B (en) 2019-09-20 2019-09-20 Method and system for adjusting rate control of GOP (group of pictures) layer of transcoding slice source

Country Status (1)

Country Link
CN (1) CN110545434B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1995029541A1 (en) * 1994-04-22 1995-11-02 Thomson Consumer Electronics, Inc. Complexity determining apparatus
CN102970540A (en) * 2012-11-21 2013-03-13 宁波大学 Multi-view video code rate control method based on key frame code rate-quantitative model
CN102986211A (en) * 2010-04-15 2013-03-20 德克萨斯仪器股份有限公司 Rate control in video coding
CN103647963A (en) * 2013-12-04 2014-03-19 北京邮电大学 Video quality evaluation method based on Gop scene complexity
CN104052998A (en) * 2014-05-26 2014-09-17 深圳百科信息技术有限公司 GOP layer ratio control and adjustment method and system based on exercise intensity

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1995029541A1 (en) * 1994-04-22 1995-11-02 Thomson Consumer Electronics, Inc. Complexity determining apparatus
CN102986211A (en) * 2010-04-15 2013-03-20 德克萨斯仪器股份有限公司 Rate control in video coding
CN102970540A (en) * 2012-11-21 2013-03-13 宁波大学 Multi-view video code rate control method based on key frame code rate-quantitative model
CN103647963A (en) * 2013-12-04 2014-03-19 北京邮电大学 Video quality evaluation method based on Gop scene complexity
CN104052998A (en) * 2014-05-26 2014-09-17 深圳百科信息技术有限公司 GOP layer ratio control and adjustment method and system based on exercise intensity

Also Published As

Publication number Publication date
CN110545434A (en) 2019-12-06

Similar Documents

Publication Publication Date Title
US8594190B2 (en) Encoding with visual masking
US8406293B2 (en) Multi-pass video encoding based on different quantization parameters
EP1762093A2 (en) Multi-pass video encoding
EP1057342A1 (en) Adaptive quantizer in a motion analysis based buffer regulation scheme for video compression
JP2002010259A (en) Image encoding apparatus and its method and recording medium recording image encoding program
CN110708570B (en) Video coding rate determining method, device, equipment and storage medium
WO2015095166A2 (en) Producing an output need parameter for an encoder
JP2008085673A (en) Moving image encoding apparatus and method
CN112272299A (en) Video coding method, device, equipment and storage medium
JP4784650B2 (en) Encoding apparatus, target code amount adjustment method, and recording medium
KR20210145719A (en) Additional information for video coding with different compression levels
US8548042B2 (en) Video bitrate control method, video bitrate control apparatus, video bitrate control program, and computer-readable recording medium having the program recorded thereon
CN110545434B (en) Method and system for adjusting rate control of GOP (group of pictures) layer of transcoding slice source
CN111416978B (en) Video encoding and decoding method and system, and computer readable storage medium
CN110636330B (en) Film source scene complexity analysis method and system based on compressed information
CN103327329A (en) Method and system for quantitative adjustment of image quality jump
US20090213929A1 (en) Transcoder
CN112822493A (en) Adaptively encoding video frames based on complexity
CN112218088A (en) Image and video compression method
CN114430501B (en) Content adaptive coding method and system for file transcoding
CN110636303B (en) GOP layer rate control adjusting method and system
CN110636389B (en) Method and system for analyzing complexity of sheet source
WO2023103200A1 (en) Video code rate control method and apparatus, and computer-readable storage medium
JPH1042293A (en) Encoding controller, encoding device and encoding control method
JP4878052B2 (en) Video code amount control method, video encoding device, video code amount control program, and recording medium therefor

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 518000 Guangdong city of Shenzhen province Nanshan District Guangdong streets high in the four Longtaili Technology Building Room 325 No. 30

Applicant after: Shenzhen mengwang video Co.,Ltd.

Address before: 518000 Guangdong city of Shenzhen province Nanshan District Guangdong streets high in the four Longtaili Technology Building Room 325 No. 30

Applicant before: SHENZHEN MONTNETS ENCYCLOPEDIA INFORMATION TECHNOLOGY Co.,Ltd.

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant