Fast block mode decision algorithm in H.264/AVC video coding

Kim, Jong-Ho; Kim, Byung-Gyu

doi:10.1016/j.jvcir.2007.09.001

Cited by 25 publications

(9 citation statements)

References 15 publications

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“…Taking into account the preceding discussion, the goal of a mode decision algorithm for the rate-distortion optimization is to identify the encoding mode [10] (one of K available coding modes), with minimum distortion rate, which depends on the rate constraint. Set X= (X1, X2,…, XN) establishes a macroblock group formed by N blocks.…”

Section: Optimization Schemementioning

confidence: 99%

Research and Realization of Improved Algorithm for H.264/AVC Oriented to Video Conference under the RTI Framework

Zheng

Jun

Chenglie

et al. 2009

2009 Third International Conference on Digital Society

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Video data compression is one the core technologies of video conference, which aims to enable significantly high performance data coding. In order to achieve this, a robust rate-distortion optimization (RDO) technique is needed to be employed to select the best coding mode This paper presents optimization solution about inter prediction mode decision algorithm of H.264/AVC for video conference under the HLA/RTI framework. Our objective is to reduce the computational complexity of the CODEC (Coder & Decoder) with insignificant rate-distortion performance degradation. I. PREFACEHLA is a brand-new field, which is put forward less than 4 years. In order to track new technology abroad in time, we take the lead in the realization of distributed interactive simulation platform based on HLA/RTI standard, called YinHe High Performance Distributed Simulation System. It is a development platform for large-scale synthetic simulation with multiple systems, which can widely gain applications in aerospace, aviation, and various national defense constructions. What's more, it is applied in weapon development simulation (single system simulation), weapon countermine simulation (multiple system simulation), combat training simulation of different class (large-scale simulation with multiple systems) and other fields. It is useful to shorten the period of experiment and development, improve quality and save the funds, which is of importance for China's national defense infrastructure and economic development.Video conference is not a new concept, and it has appeared by nearly half a century ago and still continues to evolve. Since the earliest video conference system, the industry of video conference today has topped a higher level than ever before through the long-lasting development and maturity.Multi-person video communication system based on high level architecture (High Level Architecture, HLA) uses distributed interactive simulation system. It shows superiority and advancement compared with similar software in flexibility, interactivity, extension, reusability, and many other aspects.As a new video coding standard, H.264/AVC absorbs merits of current video coding standard. At the same time, it puts forward many new ideas and algorithms, which substantially improves the coding efficiency and image quality. The statistic results show that compared with H.263+ or simple configuration of MPEG4, H.264/AVC can save nearly 50% of the coding rate under the same image quality [1].During the video conferencing, characteristics of video frame are that in the entire video, the picture is simple and with few changes; in particular, the background remains almost the same; only a few objects (including people) have some simple motion changes, such as translatory motion, rotation or speaking.This paper puts forward optimization solution about inter-frame prediction algorithm of H.264/AVC for video conference under the HLA / RTI framework. II. INTERACTIVE PRINCIPLES OF HLA/RTIHLA adopts Object Model to federate various exchangeable data and re...

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Section: Optimization Schemementioning

confidence: 99%

Research and Realization of Improved Algorithm for H.264/AVC Oriented to Video Conference under the RTI Framework

Zheng

Jun

Chenglie

et al. 2009

2009 Third International Conference on Digital Society

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“…As a result, if we can perform a classification in advance and only enable the most probable modes for each MB, the computational complexity can be greatly reduced. Usually, one can classify MBs according to their spatial characteristics or based on the coding modes of neighboring MBs [8]. However, for transcoding scenario, it is more beneficial to take advantage of the decoded information from the input video.…”

Section: Efficient Inter Mode Decision Using Svmmentioning

confidence: 99%

Efficient inter mode decision for H.263 to H.264 video transcoding using support vector machines

Xuan

Siu

Chau

et al. 2009

2009 IEEE International Symposium on Circuits and Systems

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This paper presents an efficient mode decision algorithm for H.263 to H.264 interframe transcoding. The proposed scheme uses a support vector machines (SVMs) approach to investigate the relationship between data extracted from H.263 decoding stage and the optimal coding mode in H.264 re-encoding process. Based on the SVM classifier, the transcoder only enables a subset of candidate modes for each macroblock in the rate-distortion-optimized mode decision in H.264. The objective is to eliminate unlikely modes in earlier stages in order to achieve computation saving. Simulation results show that the proposed method can reduce the computational complexity of interframe transcoding by up to 77% while maintaining similar rate-distortion performance.I.

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“…A number of efforts have been made to reduce the computational complexity of H.264/AVC by using various fast mode decision algorithms, such as fast SKIP mode decision [51]- [54], fast intra mode decision [55]- [59], fast inter mode decision [60]- [64], and the combination of the above [65]- [69]. All the existing methods are based on the temporal correlation between current macroblock and its matching macroblock in the previous frame, and the spatial correlation between current macroblock and its neighboring macroblocks in the current frame.…”

Section: Introductionmentioning

confidence: 99%

Efficient rate-distortion optimization techniques for H.264

Yu¹

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I would like to thank Nanyang Technological University (NTU) for granting me the scholarship and opportunity to do the research of this thesis. I would also like to thank Software Engineering Lab, NTU, and Institute for Infocomm Research (I 2 R) for the provision of the necessary working facilities during my Ph.D. study on this thesis. I would like to express my sincere appreciation and respect to Associate Professor Lin Zhiping, my supervisor, for his extensive guidance, invaluable support and constant encouragement on my research work. I appreciate him not for only trying his best to cultivate my academic and research capabilities but also enthusiastically encouraging and helping me to achieve life goal. I would also like to express my sincere appreciation to Dr. Pan Feng, former scientist at I 2 R and informal co-supervisor of my Ph.D. thesis, who shared his professional knowledge and ideas with me, provided me with many useful references, and valuable advices for my research. I appreciate the discussions with him. His intelligence and open-mindedness made research work enjoyable.

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Fast block mode decision algorithm in H.264/AVC video coding

Cited by 25 publications

References 15 publications

Research and Realization of Improved Algorithm for H.264/AVC Oriented to Video Conference under the RTI Framework

Research and Realization of Improved Algorithm for H.264/AVC Oriented to Video Conference under the RTI Framework

Efficient inter mode decision for H.263 to H.264 video transcoding using support vector machines

Efficient rate-distortion optimization techniques for H.264

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