CN103024431B - Video self-adaption transmission strategy based on video quality assessment - Google Patents

Video self-adaption transmission strategy based on video quality assessment Download PDF

Info

Publication number
CN103024431B
CN103024431B CN201210530061.XA CN201210530061A CN103024431B CN 103024431 B CN103024431 B CN 103024431B CN 201210530061 A CN201210530061 A CN 201210530061A CN 103024431 B CN103024431 B CN 103024431B
Authority
CN
China
Prior art keywords
video
block
macro block
quality
isflag
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.)
Expired - Fee Related
Application number
CN201210530061.XA
Other languages
Chinese (zh)
Other versions
CN103024431A (en
Inventor
余春艳
吴丽丽
陈国龙
刘灵辉
陈风
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.)
Fuzhou University
Original Assignee
Fuzhou University
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 Fuzhou University filed Critical Fuzhou University
Priority to CN201210530061.XA priority Critical patent/CN103024431B/en
Publication of CN103024431A publication Critical patent/CN103024431A/en
Application granted granted Critical
Publication of CN103024431B publication Critical patent/CN103024431B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

The invention relates to a video self-adaption transmission method based on video quality assessment. The video self-adaption transmission method based on video quality assessment is characterized in that speeds for a server to send video data are dynamically adjusted by assessing a quality of a video obtained by a client so that the quality of the video received by the client is effectively improved; if the quality of the video is larger than 3000, the client sends a request to the server to request the server to increase the speeds for sending the video data so that the quality of the video received by the client is improved; and if the quality of the video is smaller than or equal to 3000, the client is not interacted with the server. The video self-adaption transmission method is simple in method, flexible in implementing and high in efficiencies.

Description

Based on the video adaptive transmission method of video quality assessment
Technical field
The present invention relates to network video quality field, particularly a kind of video adaptive transmission method based on video quality assessment.
Background technology
Along with the development of Internet technology, IP-based real-time streaming service more and more comes into one's own.In order to meet the requirement of client to video streaming services to greatest extent, streaming media service provider will pay attention to the quality of the Streaming Media that client reception arrives in streaming media service.For the streaming media that requirement of real-time is high, setting up a kind of simple and effective adaptive transmission method becomes a significant research topic to the quality of the Streaming Media improving client and receive.
Summary of the invention
The object of this invention is to provide a kind of video adaptive transmission method based on video quality assessment, effectively can improve the quality of the video that client receives.
The present invention adopts following scheme to realize: a kind of video adaptive transmission method based on video quality assessment, it is characterized in that: carry out by the quality evaluating the video that client obtains the speed that dynamic conditioning server sends video data, the quality of the video that client is received is improved; If the quality of video is greater than 3000, then there is request to server in client, and request server improves the speed sending video data, and the quality of the video that client is received improves; If the quality of video is less than or equal to 3000, then client and server do not do alternately.
In an embodiment of the present invention, the calculating of the quality of described video realizes according to following scheme: the length that video-frequency band SS is described as this video-frequency band is m, wherein m>8, and the quality of every frame is greater than the mean value that the quality of given threshold value 200, video-frequency band SS is the quality of every frame in this video-frequency band in this video-frequency band; If there is num (num>=0) individual SS in video, then the quality of video is the mean value of the quality of num SS.
In an embodiment of the present invention, the calculating of the quality of described frame realizes according to following scheme: the motion intense degree MA calculating each macro block (i, j) when video decode (i, j)with mark this macro block whether be S block isflag (i, j); If this macro block is S block, then isflag (i, j)be 1; If this macro block is not S block, then isflag (i, j)be 0; The quality of every frame wherein p, q represent the macroblock number that every frame middle row comprises and arrange the macroblock number comprised.
In an embodiment of the present invention, the motion intense degree MA of described macro block (i, j) (i, j)calculating realize according to following scheme: if macro block (i, j) needs segmentation when decoding, then the MA of this macro block is MA average of its segmentation block; If macro block (i, j) is do not need to be subdivided in decoding, then the motion intense degree of this macro block wherein mvx (i, j)and mvy (i, j)represent x component and the y component of the motion vector of macro block (i, j) respectively; The calculating of the MA of each segmentation block is as the calculating of the MA of macro block.
In an embodiment of the present invention, whether described mark macro block (i, j) is that S block realizes according to following scheme:
If this bulk flag the data-bag lost at macro block (i, j) place, is then S block, i.e. isflag by step S01: whether lose according to the packet at each macro block place and judge whether this macro block is lost (i, j)be 1; If the packet at macro block (i, j) place is not lost, then isflag (i, j)be 0;
Step S02: according to the type of coding of each macro block, judges whether this macro block is S block; If the type of coding of macro block (i, j) is intraframe coding, then consider whether the macro block in the frame of its reference is S block; If reference macroblock is S block, then macro block (i, j) is labeled as S block, i.e. isflag (i, j)be 1; If reference macroblock is not S block, then isflag (i, j)be 0; If the type of coding of macro block (i, j) is interframe encode, then obtain the reference macroblock of this macro block according to motion vector; If reference macroblock is S block, then macro block (i, j) is labeled as S block, i.e. isflag (i, j)be 1; If reference macroblock is not S block, then isflag (i, j)be 0.
Useful achievement of the present invention is: the present invention proposes a kind of video adaptive transmission method based on video quality assessment, the speed that dynamic conditioning server sends video data is carried out by the quality evaluating the video that client obtains, the quality of the video that client is received is improved, the method is simple, realize flexibly, there is stronger practicality.
Accompanying drawing explanation
Fig. 1 is the flow chart of the video adaptive transmission method based on video quality assessment.
Embodiment
Please refer to Fig. 1, the present invention is based on the video adaptive transmission method of video quality assessment, carry out by the quality evaluating the video that client obtains the speed that dynamic conditioning server sends video data, the quality of the video that client is received is improved, specific as follows:
1, the motion intense degree MA of each macro block is calculated when decoding and whether mark this macro block be S block.The motion intense degree of macro block: if macro block (i, j) needs segmentation when decoding, then the MA of this macro block is the average of the MA of its segmentation block.If macro block (i, j) does not need to be subdivided when decoding, then the motion intense degree of this macro block wherein mvx (i, j)and mvy (i, j)represent x component and the y component of the motion vector of macro block (i, j) respectively.The calculating of the MA of each segmentation block is as the calculating of the MA of macro block.Whether whether mark macro block is S block: 1. lose according to the packet at each macro block place and judge whether this macro block is lost, if the data-bag lost at macro block (i, j) place, is then S block, i.e. isflag by this bulk flag (i, j)be 1.If the packet at macro block (i, j) place is not lost, then isflag (i, j)be 0.2. according to the type of coding of each macro block, judge whether this macro block is S block.If the type of coding of macro block (i, j) is intraframe coding, then consider whether the macro block in the frame of its reference is S block.If reference macroblock is S block, then macro block (i, j) is labeled as S block, i.e. isflag (i, j)be 1.If reference macroblock is not S block, then isflag (i, j)be 0.If the type of coding of macro block (i, j) is interframe encode, then obtain the reference macroblock of this macro block according to motion vector.If reference macroblock is S block, then macro block (i, j) is labeled as S block, i.e. isflag (i, j)be 1.If reference macroblock is not S block, then isflag (i, j)be 0.
2, the quality of every frame is calculated: the quality of every frame wherein p, q represent the macroblock number that every frame middle row comprises and arrange the macroblock number comprised.
3, the quality of video is calculated: the length that video-frequency band SS is described as this video-frequency band is m (m>8), and in this video-frequency band, the quality of every frame is greater than given threshold value 200.The quality of SS is the mean value of the quality of every frame in this video-frequency band; If there is num (num>=0) individual SS in video, then the quality of video is the mean value of the quality of num SS.
4, adjust according to the quality of the video obtained the speed that server end sends data: if the quality of video is greater than 3000, then there is request to server in client, request server improves the speed sending video data, and the quality of the video that client is received is improved.If the quality of video is less than or equal to 3000, then client and server do not do alternately.
The foregoing is only preferred embodiment of the present invention, all equalizations done according to the present patent application the scope of the claims change and modify, and all should belong to covering scope of the present invention.

Claims (3)

1. the video adaptive transmission method based on video quality assessment, it is characterized in that: carry out by the quality evaluating the video that client obtains the speed that dynamic conditioning server sends video data, the quality of the video that client is received is improved; If the quality of video is greater than 3000, then there is request to server in client, and request server improves the speed sending video data, and the quality of the video that client is received improves; If the quality of video is less than or equal to 3000, then client and server do not do alternately;
The calculating of the quality of described video realizes according to following scheme: the length that video-frequency band SS is described as this video-frequency band is m, wherein m>8, and the quality of every frame is greater than the mean value that the quality of given threshold value 200, video-frequency band SS is the quality of every frame in this video-frequency band in this video-frequency band; If there is num SS, wherein num>=0 in video; Then the quality of video is the mean value of the quality of num SS;
The calculating of the quality of described frame realizes according to following scheme: the motion intense degree MA calculating each macro block (i, j) when video decode (i, j)with mark this macro block whether be S block isflag (i, j); If this macro block is S block, then isflag (i, j)be 1; If this macro block is not S block, then isflag (i, j)be 0; The quality of every frame wherein p, q represent the macroblock number that every frame middle row comprises and arrange the macroblock number comprised.
2. the video adaptive transmission method based on video quality assessment according to claim 1, is characterized in that: the motion intense degree MA of described macro block (i, j) (i, j)calculating realize according to following scheme: if macro block (i, j) needs segmentation when decoding, then the MA of this macro block is MA average of its segmentation block; If macro block (i, j) is do not need to be subdivided in decoding, then the motion intense degree of this macro block wherein mvx (i, j)and mvy (i, j)represent x component and the y component of the motion vector of macro block (i, j) respectively; The calculating of the MA of each segmentation block is as the calculating of the MA of macro block.
3. the video adaptive transmission method based on video quality assessment according to claim 1, is characterized in that: whether described mark macro block (i, j) is that S block realizes according to following scheme:
If this bulk flag the data-bag lost at macro block (i, j) place, is then S block, i.e. isflag by step S01: whether lose according to the packet at each macro block place and judge whether this macro block is lost (i, j)be 1; If the packet at macro block (i, j) place is not lost, then isflag (i, j)be 0;
Step S02: according to the type of coding of each macro block, judges whether this macro block is S block; If the type of coding of macro block (i, j) is intraframe coding, then consider whether the macro block in the frame of its reference is S block; If reference macroblock is S block, then macro block (i, j) is labeled as S block, i.e. isflag (i, j)be 1; If reference macroblock is not S block, then isflag (i, j)be 0; If the type of coding of macro block (i, j) is interframe encode, then obtain the reference macroblock of this macro block according to motion vector; If reference macroblock is S block, then macro block (i, j) is labeled as S block, i.e. isflag (i, j)be 1; If reference macroblock is not S block, then isflag (i, j)be 0.
CN201210530061.XA 2012-12-11 2012-12-11 Video self-adaption transmission strategy based on video quality assessment Expired - Fee Related CN103024431B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210530061.XA CN103024431B (en) 2012-12-11 2012-12-11 Video self-adaption transmission strategy based on video quality assessment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210530061.XA CN103024431B (en) 2012-12-11 2012-12-11 Video self-adaption transmission strategy based on video quality assessment

Publications (2)

Publication Number Publication Date
CN103024431A CN103024431A (en) 2013-04-03
CN103024431B true CN103024431B (en) 2015-03-04

Family

ID=47972493

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210530061.XA Expired - Fee Related CN103024431B (en) 2012-12-11 2012-12-11 Video self-adaption transmission strategy based on video quality assessment

Country Status (1)

Country Link
CN (1) CN103024431B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103391450B (en) * 2013-07-12 2015-07-01 福州大学 Spatio-temporal union reference-free video quality detecting method
CN104092960B (en) * 2014-07-26 2017-06-06 福州大学 A kind of video source switch method of view-based access control model subjective feeling
CN111385616B (en) * 2018-12-28 2021-08-13 华为技术有限公司 Method and device for determining video transmission quality

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7257664B2 (en) * 2001-12-21 2007-08-14 Lambert Everest Ltd. Adaptive error resilience for signal transmission over a network
CN1157059C (en) * 2002-01-29 2004-07-07 北京工业大学 Movement character combined video quality evaluation method
US8520728B2 (en) * 2010-09-23 2013-08-27 Intel Corporation Adaptive data transmission rate control for a wireless display device
CN102413307B (en) * 2011-11-30 2013-11-27 晶门科技(深圳)有限公司 Self-adaptive code rate adjustment method and device for television video chat

Also Published As

Publication number Publication date
CN103024431A (en) 2013-04-03

Similar Documents

Publication Publication Date Title
CN103118241B (en) Based on the mobile video monitor streaming media self-adapting regulation method of 3G network
CN109068187B (en) Real-time traffic delivery system and method
CN100558170C (en) Video encoding/decoding method with active buffer management and complexity control function
CN109729437B (en) Streaming media self-adaptive transmission method, terminal and system
CN102036061A (en) Video data transmission and sending processing method, device and network system
CN102907096A (en) Method and apparatus for transmitting and receiving layered coded video
Nightingale et al. Optimised transmission of H. 264 scalable video streams over multiple paths in mobile networks
CN103024431B (en) Video self-adaption transmission strategy based on video quality assessment
CN104219539A (en) Video encoding and transmitting method based on TD-LTE (time division long term evolution) channel detection
Yao et al. IPB-frame adaptive mapping mechanism for video transmission over IEEE 802.11 e WLANs
Lin et al. An unequal error protection mechanism for video streaming over IEEE 802.11 e WLANs
CN107210843B (en) System and method for real-time video communication using fountain coding
Wu et al. Adaptive video streaming using dynamic ndn multicast in wlan
Karimi et al. Improving video delivery over wireless multimedia sensor networks based on queue priority scheduling
Zhao et al. A cloud-assisted DASH-based scalable interactive multiview video streaming framework
CN102630038A (en) Mapping method from video objective parameters to QoE (Quality of Experience) based on video contents
Wu et al. An enhanced structure of layered forward error correction and interleaving for scalable video coding in wireless video delivery
CN102763408B (en) SVC-based E-MBMS streaming transmission method and equipment
Yuan et al. End-to-end distortion-based multiuser bandwidth allocation for real-time video transmission over LTE network
CN114286132A (en) Method for video transmission fault tolerance in wireless network
WO2012154157A1 (en) Apparatus and method for dynamically changing encoding scheme based on resource utilization
Ho et al. QoS-supporting video streaming system with minimum data service cost over heterogeneous wireless networks
Xia Cross-layer optimization technology for wireless network multimedia video
Ibrahim et al. Optimal usage of LTE advanced system to support multi-user in video streaming application
Feng et al. Design and optimization for vod services with adaptive multicast and client caching

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20150304

Termination date: 20201211

CF01 Termination of patent right due to non-payment of annual fee