CN109361923A - A kind of time slip-window scene change detection method and system based on motion analysis - Google Patents

A kind of time slip-window scene change detection method and system based on motion analysis Download PDF

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CN109361923A
CN109361923A CN201811478020.4A CN201811478020A CN109361923A CN 109361923 A CN109361923 A CN 109361923A CN 201811478020 A CN201811478020 A CN 201811478020A CN 109361923 A CN109361923 A CN 109361923A
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CN109361923B (en
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舒倩
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Shenzhen Monternet Encyclopedia Information Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods 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
    • H04N19/17Methods 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
    • H04N19/172Methods 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 picture, frame or field
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods 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
    • H04N19/179Methods 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 scene or a shot
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/593Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques

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Abstract

The present invention proposes a kind of time slip-window scene change detection method and system based on motion analysis.The method of the present invention passes through the analysis of the exercise intensity of object in image first, the adaptive length for determining scene analysis time window;Then as unit of the time window, cycle detection is done to scene switching.In this way under the accuracy for guaranteeing scene detection, while unnecessary waste of the detection algorithm in calculation amount frame by frame is avoided, to achieve the purpose that boosting algorithm efficiency.

Description

A kind of time slip-window scene change detection method and system based on motion analysis
Technical field
The present invention relates to field of video processing more particularly to a kind of time slip-window scene switching inspections based on motion analysis Survey method and system.
Background technique
Actual video source has diversity, and accurate scene switching can promote the compression performance of encoder.However, traditional Analytic approach frame by frame, although judgement is more accurate, the probability for actually generating scene switching frame by frame is extremely low, this just causes algorithm Inefficiency.
Summary of the invention
The purpose of the embodiment of the present invention is to propose a kind of time slip-window scene change detection side based on motion analysis Method, it is intended to prior art scene switching analytic approach frame by frame is solved, although judgement is more accurate, the problem of inefficiency.
The embodiments of the present invention are implemented as follows, a kind of time slip-window scene change detection side based on motion analysis Method, which comprises
Step1: if present frame framecurFor intra prediction frame or scene switching frame, then initial value is assigned to cyclic variable n It is 0, positions next frame of the present frame on coded sequence and be denoted as framenext, subsequently into Step2;Otherwise, then enter Step6;
Step2: if framecur、framenextIn have uncoded frame, then first it is encoded, subsequently into Step3;Otherwise, it is directly entered Step3;
Step3: if pocnext-poccur≤Thres1, then enter Step5;Otherwise, into Step4;
Step4: ifThen determine framenextFor scene switching frame, frame is enabledcur= framenextAnd update framenext, then reenter Step2;Otherwise, into Step5;
Step5: current scene time span variable tk is obtained;
Step6: scene detection is carried out to video residue frame;
Wherein, poccur、pocnextRespectively indicate framecur、framenextBroadcasting sequence number;Thres1Indicate the first thresholding Threshold value;Indicate framenextThe intra prediction number of blocks for including;Thres2Indicate the second threshold value.
The another object of the embodiment of the present invention is to propose a kind of time slip-window scene switching inspection based on motion analysis Examining system, the system comprises:
Frame type judging treatmenting module, if for judging present frame framecurFor intra prediction frame or scene switching Frame, then assigning initial value to cyclic variable n is 0, positions next frame of the present frame on coded sequence and is denoted as framenext, subsequently into Uncoded frame detection processing module;Otherwise, then enter residue frame scene detection device;
Uncoded frame detection processing module, if for judging framecur、framenextIn have uncoded frame, then it is first right It is encoded, subsequently into frame period threshold decision processing module;Otherwise, it is directly entered frame period threshold decision processing mould Block;
Frame period threshold decision processing module, if for judging pocnext-poccur≤Thres1, then enter scene time Span variable obtains module;Otherwise, into intra-frame prediction block amount threshold judging treatmenting module;
Wherein, poccur、pocnextRespectively indicate framecur、framenextBroadcasting sequence number;Thres1Indicate the first thresholding Threshold value;
Intra-frame prediction block amount threshold judging treatmenting module, if for judgingThen determine framenextFor scene switching frame, frame is enabledcur=framenextAnd update framenext, then reenter uncoded frame inspection Survey processing module;Otherwise, module is obtained into scene time span variable;
Wherein,Indicate framenextInclude intra prediction number of blocks;Thres2Indicate the second threshold value;
Scene time span variable obtains module, for obtaining current scene time span variable;
Residue frame scene detection device, for carrying out scene detection to video residue frame.
Beneficial effects of the present invention
The present invention proposes a kind of time slip-window scene change detection method and system based on motion analysis.Side of the present invention Method passes through the analysis of the exercise intensity of object in image first, the adaptive length for determining scene analysis time window;Then with this Time window is unit, does cycle detection to scene switching.In this way under the accuracy for guaranteeing scene detection, while avoiding frame by frame Unnecessary waste of the detection algorithm in calculation amount, to achieve the purpose that boosting algorithm efficiency.
Detailed description of the invention
Fig. 1 is a kind of time slip-window scene change detection method flow based on motion analysis of the preferred embodiment of the present invention Figure;
Fig. 2 is the method detailed flow chart of Step6 in Fig. 1;
Fig. 3 is a kind of time slip-window scene change detection system structure based on motion analysis of the preferred embodiment of the present invention Figure;
Fig. 4 is residue frame scene detection structure drawing of device in Fig. 3.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, right below in conjunction with drawings and examples The present invention is further elaborated, and for ease of description, only parts related to embodiments of the present invention are shown.It should manage Solution, the specific embodiment that this place is described are used only for explaining the present invention, be not intended to limit the invention.
The present invention proposes a kind of time slip-window scene change detection method and system based on motion analysis.Side of the present invention Method passes through the analysis of the exercise intensity of object in image first, the adaptive length for determining scene analysis time window;Then with this Time window is unit, does cycle detection to scene switching.In this way under the accuracy for guaranteeing scene detection, while avoiding frame by frame Unnecessary waste of the detection algorithm in calculation amount, to achieve the purpose that boosting algorithm efficiency.
Embodiment one
Fig. 1 is a kind of time slip-window scene change detection method flow based on motion analysis of the preferred embodiment of the present invention Figure;It the described method comprises the following steps:
Step1: if present frame framecurFor intra prediction frame or scene switching frame, then initial value is assigned to cyclic variable n It is 0, positions next frame of the present frame on coded sequence and be denoted as framenext, subsequently into Step2;Otherwise, then enter Step6。
Step2: if framecur、framenextIn have uncoded frame, then first it is encoded, subsequently into Step3;Otherwise, it is directly entered Step3.
Step3: if pocnext-poccur≤Thres1, then enter Step5;Otherwise, into Step4.
Wherein, poccur、pocnextRespectively indicate framecur、framenextBroadcasting sequence number;Thres1Indicate the first thresholding Threshold value, general Thres1> 2.
Step4: ifThen determine framenextFor scene switching frame, frame is enabledcur= framenextAnd update framenext, then reenter Step2;Otherwise, into Step5.
Wherein,Indicate framenextInclude intra prediction number of blocks;Thres2Indicate the second threshold value, General Thres2≥0.9。
Step5: current scene time span variable is obtained;
Wherein, consfast、consslow, cons respectively indicate rapid scene time span constant, at a slow speed scene time span Constant, conventional scenario time span constant, general 1 < consfast< cons < consslow< fps/2;Thres3、Thres4Table Show third, the 4th threshold value;Fps indicates frame per second;bitnext、bitcurRespectively indicate framecur、framenextRatio after coding Special number;The value of above-mentioned time span variable, which divides condition, can also use framenextThe accounting of middle motion vector nonzero block come into Row operation;The setting of time span constant is bigger, and processing speed is faster, but also brings along certain omission factor, can be according to specifically wanting Ask setting.
Step6: scene detection is carried out to video residue frame.
Fig. 2 is the method detailed flow chart of Step6 in Fig. 1;The following steps are included:
Step61: cyclic variable n=n+1 is enabled.
Step62: according to time span variable, current scene frame frame to be detected is positionedt,
T=pocnext+tk*n。
Step63: if current scene frame to be detected is not present, terminate;Else if current scene frame to be detected is I Frame and I interframe is divided into fixed value, then enable framecur=framet, then return Step1;Otherwise, then enter Step64.
Wherein, frametIndicate that current scene frame to be detected, t indicate its broadcasting sequence number;I frame period in coding parameter It presets, and I interframe is divided into fixed value.
Step64: using disclosed method in the industry, to frametCarry out scene detection.
Step65: frame is enabledcur=framet, then return Step1.
Embodiment two
Fig. 3 is a kind of time slip-window scene change detection system structure based on motion analysis of the preferred embodiment of the present invention Figure;The system comprises:
Frame type judging treatmenting module, if for judging present frame framecurFor intra prediction frame or scene switching Frame, then assigning initial value to cyclic variable n is 0, positions next frame of the present frame on coded sequence and is denoted as framenext, subsequently into Uncoded frame detection processing module;Otherwise, then enter residue frame scene detection device.
Uncoded frame detection processing module, if for judging framecur、framenextIn have uncoded frame, then it is first right It is encoded, subsequently into frame period threshold decision processing module;Otherwise, it is directly entered frame period threshold decision processing mould Block.
Frame period threshold decision processing module, if for judging pocnext-poccur≤Thres1, then enter scene time Span variable obtains module;Otherwise, into intra-frame prediction block amount threshold judging treatmenting module.
Wherein, poccur、pocnextRespectively indicate framecur、framenextBroadcasting sequence number;Thres1Indicate the first thresholding Threshold value, general Thres1> 2.
Intra-frame prediction block amount threshold judging treatmenting module, if for judgingThen determine framenextFor scene switching frame, frame is enabledcur=framenextAnd update framenext, then reenter uncoded frame inspection Survey processing module;Otherwise, module is obtained into scene time span variable.
Wherein,Indicate framenextInclude intra prediction number of blocks;Thres2Indicate the second threshold value, General Thres20.9.
Scene time span variable obtains module, for obtaining current scene time span variable;
Wherein, consfast、consslow, cons respectively indicate rapid scene time span constant, at a slow speed scene time span Constant, conventional scenario time span constant, general 1 < consfast< cons < consslow< fps/2;Thres3、Thres4Table Show third, the 4th threshold value;Fps indicates frame per second;bitnext、bitcurRespectively indicate framecur、framenextRatio after coding Special number;The value of above-mentioned time span variable, which divides condition, can also use framenextThe accounting of middle motion vector nonzero block come into Row operation;The setting of time span constant is bigger, and processing speed is faster, but also brings along certain omission factor, can be according to specifically wanting Ask setting.
Residue frame scene detection device, for carrying out scene detection to video residue frame.
Fig. 4 is residue frame scene detection structure drawing of device in Fig. 3.The residue frame scene detection device includes:
Cyclic variable setup module, for enabling cyclic variable n=n+1.
Scene frame alignment module to be detected, for positioning current scene frame frame to be detected according to time span variablet, T=pocnext+tk*n。
First judging treatmenting module, if terminated for judging that current scene frame to be detected is not present;Otherwise enter the Two judging treatmenting modules;
Second judging treatmenting module, for judging if current scene frame to be detected is I frame and I interframe is divided into fixed value, Then enable framecur=framet, then return frame type judging treatmenting module;Otherwise, then enter scene detection module.
Wherein, frametIndicate that current scene frame to be detected, t indicate its broadcasting sequence number;I frame period in coding parameter It presets, and I interframe is divided into fixed value.
Scene detection module, for utilizing disclosed method in the industry, to frametCarry out scene detection.
Present frame setup module, for enabling framecur=framet, then return frame type judging treatmenting module.
It will be understood by those skilled in the art that implement the method for the above embodiments be can With what is completed by program instruction related hardware, the program be can be stored in a computer readable storage medium, The 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 in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (8)

1. a kind of time slip-window scene change detection method based on motion analysis, which is characterized in that the described method includes:
Step1: if present frame framecurFor intra prediction frame or scene switching frame, then assigning initial value to cyclic variable n is 0, It positions next frame of the present frame on coded sequence and is denoted as framenext, subsequently into Step2;Otherwise, then enter Step6;
Step2: if framecur、framenextIn have uncoded frame, then first it is encoded, subsequently into Step3;It is no Then, it is directly entered Step3;
Step3: if pocnext-poccur≤Thres1, then enter Step5;Otherwise, into Step4;
Step4: ifThen determine framenextFor scene switching frame, frame is enabledcur= framenextAnd update framenext, then reenter Step2;Otherwise, into Step5;
Step5: current scene time span variable tk is obtained;
Step6: scene detection is carried out to video residue frame;
Wherein, poccur、pocnextRespectively indicate framecur、framenextBroadcasting sequence number;Thres1Indicate the first thresholding threshold Value;Indicate framenextThe intra prediction number of blocks for including;Thres2Indicate the second threshold value.
2. the time slip-window scene change detection method based on motion analysis as described in claim 1, which is characterized in that
First threshold value Thres1> 2;Second threshold value Thres2≥0.9。
3. the time slip-window scene change detection method based on motion analysis as described in claim 1, which is characterized in that institute It states and obtains current scene time span variable tk specifically:
Wherein, consfast、consslow, cons respectively indicate that rapid scene time span constant, scene time span is normal at a slow speed Amount, conventional scenario time span constant, 1 < consfast< cons < consslow< fps/2;Thres3、Thres4Indicate the Three, the 4th threshold value;Fps indicates frame per second;bitnext、bitcurRespectively indicate framecur、framenextBit after coding Number.
4. the time slip-window scene change detection method based on motion analysis as described in claim 1, which is characterized in that institute State to video residue frame carry out scene detection the following steps are included:
Step61: cyclic variable n=n+1 is enabled;
Step62: according to time span variable, current scene frame frame to be detected is positionedt,
T=pocnext+tk*n;
Step63: if current scene frame to be detected is not present, terminate;Else if current scene frame to be detected is I frame and I Interframe is divided into fixed value, then enables framecur=framet, then return Step1;Otherwise, then enter Step64;
Wherein, frametIndicate that current scene frame to be detected, t indicate its broadcasting sequence number;I frame period in coding parameter in advance Setting, and I interframe is divided into fixed value;
Step64: using disclosed method in the industry, to frametCarry out scene detection;
Step65: frame is enabledcur=framet, then return Step1.
5. a kind of time slip-window scene change detection system based on motion analysis, which is characterized in that the system comprises:
Frame type judging treatmenting module, if for judging present frame framecurFor intra prediction frame or scene switching frame, then Assigning initial value to cyclic variable n is 0, positions next frame of the present frame on coded sequence and is denoted as framenext, subsequently into not compiling Code frame detection processing module;Otherwise, then enter residue frame scene detection device;
Uncoded frame detection processing module, if for judging framecur、framenextIn have uncoded frame, then first it is carried out Coding, subsequently into frame period threshold decision processing module;Otherwise, it is directly entered frame period threshold decision processing module;
Frame period threshold decision processing module, if for judging pocnext-poccur≤Thres1, then enter scene time span Variable obtains module;Otherwise, into intra-frame prediction block amount threshold judging treatmenting module;
Wherein, poccur、pocnextRespectively indicate framecur、framenextBroadcasting sequence number;Thres1Indicate the first thresholding threshold Value;
Intra-frame prediction block amount threshold judging treatmenting module, if for judgingThen determine framenextFor scene switching frame, frame is enabledcur=framenextAnd update framenext, then reenter uncoded frame inspection Survey processing module;Otherwise, module is obtained into scene time span variable;
Wherein,Indicate framenextInclude intra prediction number of blocks;Thres2Indicate the second threshold value;
Scene time span variable obtains module, for obtaining current scene time span variable;
Residue frame scene detection device, for carrying out scene detection to video residue frame.
6. the time slip-window scene change detection system based on motion analysis as claimed in claim 5, which is characterized in that
First threshold value Thres1> 2;Second threshold value Thres2≥0.9。
7. the time slip-window scene change detection system based on motion analysis as claimed in claim 6, which is characterized in that field Scape time span variable obtains in module, for obtaining current scene time span variable specifically:
Wherein, consfast、consslow, cons respectively indicate that rapid scene time span constant, scene time span is normal at a slow speed Amount, conventional scenario time span constant, 1 < consfast< cons < consslow< fps/2;Thres3、Thres4Indicate the Three, the 4th threshold value;Fps indicates frame per second;bitnext、bitcurRespectively indicate framecur、framenextBit after coding Number.
8. the time slip-window scene change detection system based on motion analysis as claimed in claim 7, which is characterized in that institute Stating residue frame scene detection device includes:
Cyclic variable setup module, for enabling cyclic variable n=n+1;
Scene frame alignment module to be detected, for positioning current scene frame frame to be detected according to time span variablet, t= pocnext+tk*n;
First judging treatmenting module, if terminated for judging that current scene frame to be detected is not present;Otherwise enter second to sentence Disconnected processing module;
Second judging treatmenting module is enabled for judging if current scene frame to be detected is I frame and I interframe is divided into fixed value framecur=framet, then return frame type judging treatmenting module;Otherwise, then enter scene detection module;
Wherein, frametIndicate that current scene frame to be detected, t indicate its broadcasting sequence number;I frame period in coding parameter in advance Setting, and I interframe is divided into fixed value;
Scene detection module, for utilizing disclosed method in the industry, to frametCarry out scene detection;
Present frame setup module, for enabling framecur=framet, then return frame type judging treatmenting module.
CN201811478020.4A 2018-12-04 2018-12-04 Sliding time window scene switching detection method and system based on motion analysis Active CN109361923B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110636330A (en) * 2019-09-20 2019-12-31 深圳市梦网百科信息技术有限公司 Film source scene complexity analysis method and system based on compressed information
CN113711272A (en) * 2019-04-23 2021-11-26 Oppo广东移动通信有限公司 Method and system for non-spurious motion detection

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0410788A (en) * 1990-04-26 1992-01-14 Victor Co Of Japan Ltd Method for controlling coding variable of image signal
CN101836431A (en) * 2007-10-30 2010-09-15 高通股份有限公司 Detecting scene transitions in digital video sequences
CN102497556A (en) * 2011-12-26 2012-06-13 深圳市融创天下科技股份有限公司 Time-variation-degree-based scene switching detection method, device and equipment
US20130163957A1 (en) * 2011-12-22 2013-06-27 Broadcom Corporation System and Method for Fingerprinting Video
CN103561232A (en) * 2010-12-29 2014-02-05 中国移动通信集团公司 Method and device for identifying video monitoring scenes
JP2016201617A (en) * 2015-04-08 2016-12-01 シャープ株式会社 Moving picture reproduction device and method
CN106303528A (en) * 2015-06-04 2017-01-04 北京中传视讯科技有限公司 A kind of code stream translation scene detection method and system
CN107770538A (en) * 2016-08-23 2018-03-06 华为技术有限公司 A kind of methods, devices and systems for detecting scene switch frame

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0410788A (en) * 1990-04-26 1992-01-14 Victor Co Of Japan Ltd Method for controlling coding variable of image signal
CN101836431A (en) * 2007-10-30 2010-09-15 高通股份有限公司 Detecting scene transitions in digital video sequences
CN103561232A (en) * 2010-12-29 2014-02-05 中国移动通信集团公司 Method and device for identifying video monitoring scenes
US20130163957A1 (en) * 2011-12-22 2013-06-27 Broadcom Corporation System and Method for Fingerprinting Video
CN102497556A (en) * 2011-12-26 2012-06-13 深圳市融创天下科技股份有限公司 Time-variation-degree-based scene switching detection method, device and equipment
JP2016201617A (en) * 2015-04-08 2016-12-01 シャープ株式会社 Moving picture reproduction device and method
CN106303528A (en) * 2015-06-04 2017-01-04 北京中传视讯科技有限公司 A kind of code stream translation scene detection method and system
CN107770538A (en) * 2016-08-23 2018-03-06 华为技术有限公司 A kind of methods, devices and systems for detecting scene switch frame

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
TIANHAO GUO: "A Video Coding Scheme with Adaptive Intra-frame Selection", 《2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS》 *
王悦: "基于场景切换的码率控制方法", 《电视技术》 *
金星: "基于SVC的场景切换检测及码率控制研究", 《中国优秀硕士学位论文全文数据库》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113711272A (en) * 2019-04-23 2021-11-26 Oppo广东移动通信有限公司 Method and system for non-spurious motion detection
CN110636330A (en) * 2019-09-20 2019-12-31 深圳市梦网百科信息技术有限公司 Film source scene complexity analysis method and system based on compressed information
CN110636330B (en) * 2019-09-20 2021-10-26 深圳市梦网视讯有限公司 Film source scene complexity analysis method and system based on compressed information

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