Pruned Mode Decision based on Variable Block Sizes Motion Compensation for H.264

Lee, Jeyun

doi:10.1007/978-3-540-40012-7_34

Cited by 15 publications

(5 citation statements)

References 2 publications

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“…When the SKIP mode is decided, the encoder transmits just a skip indicator without send such data as segmented block information, reference frame number, motion vectors, and so on. In addition, if we can decide in advance whether Skip mode or not, the process of mode (1) The best motion compensation block size is 16x16; (2) Reference frame is just one previous one;(3) Motion vector is the same as its PMV;(4) Its transform coefficients are all quantized to zero [4,8].…”

Section: Fast Mode Decisionmentioning

confidence: 99%

Research on fast mode decision for AVS

Dan

Ming-zheng

Yao

2012

2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization

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This electronic docume AVS is domestic Audio Video-coding Standard series standards. AVS emploies RDO technique in mode decision but traversal mode increase computational complexity. In order to reduce model number ,the paper proposes a SKIP mode decision algorithm ,fast inter mode decision and selective Intra mode decision. Results show that the algorithm can increases coding efficiency while maintaining similar video quality.

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Section: Fast Mode Decisionmentioning

confidence: 99%

Research on fast mode decision for AVS

Dan

Ming-zheng

Yao

2012

2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization

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“…Consequently, the process of intra-prediction is performed first. However, due to the small probability of intra-modes in inter-frames in real video sequences (maximum 9% and average of 3%, [20]) suggests that the current practice of deciding the best intra-mode first and subsequent decision of an inter-mode may have a certain limit in reducing the computational complexity.…”

Section: Relevant Proposals To Speed-up the Inter-frame Predictionmentioning

confidence: 99%

A Fast MB Mode Decision Algorithm for MPEG-2 to H.264 P-Frame Transcoding

Fernández–Escribano

Kalva

Cuenca

et al. 2008

IEEE Trans. Circuits Syst. Video Technol.

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The H.264 standard achieves much higher coding efficiency than the MPEG-2 standard, due to its improved inter-and intra-prediction modes at the expense of higher computational complexity. Transcoding MPEG-2 video to H.264 is important to enable gradual migration to H.264. However, given the significant differences between the MPEG-2 and the H.264 coding algorithms, transcoding is a much more complex task and new approaches to transcoding are necessary. The main problems that need to be addressed in the design of an efficient heterogeneous MPEG-2/H.264 transcoder are: the inter-frame prediction, the transform coding and the intra-frame prediction. In this paper, we focus our attention on the inter-frame prediction, the most computationally intensive task involved in the transcoding process. This paper presents a novel macroblock (MB) mode decision algorithm for P-frame prediction based on machine learning techniques to be used as part of a very low complexity MPEG-2 to H.264 video transcoder. Since coding mode decisions take up the most resources in video transcoding, a fast MB mode estimation would lead to reduced complexity. The proposed approach is based on the hypothesis that MB coding mode decisions in H.264 video have a correlation with the distribution of the motion compensated residual in MPEG-2 video. We use machine learning tools to exploit the correlation and construct decision trees to classify the incoming MPEG-2 MBs into one of the several coding modes in H.264. The proposed approach reduces the H.264 MB mode computation process into a decision tree lookup with very low complexity. Experimental results show that the proposed approach reduces the MB mode selection complexity by as much as 95% while maintaining the coding efficiency. Finally, we conduct a comparative study with some of the most prominent fast inter-prediction methods for H.264 presented in the literature. Our results show that the proposed approach achieves the best results for video transcoding applications.

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“…Many fast mode-selection algorithms [3][4][5][6] have been developed to reduce the encoder complexity of H.264. Some of them achieve this by making use of texture and edge information, such as the computation of the Sobel edge operators for every macroblock(MB) [7][8][9] to find whether a MB is homogeneous or the edge map of a whole frame.…”

Section: Introductionmentioning

confidence: 99%

Efficient probability based macroblock mode selection in H.264/AVC

Liu

Tang

Cui

2005

Visual Communications and Image Processing 2005

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To get high compress efficiency, the latest H.264/AVC international video coding standard introduced many more advanced tools than previously used standards, such as using sophisticated prediction and rate-distortion (RD) mode selection. Although these new coding tools can significantly improve video coding efficiency, the improvement in performance comes at substantially higher computational complexity as a result of more complicated mode decision. To reduce the complexity of H.264 encoding, various fast mode decision algorithms have been proposed. Many of these algorithms take advantage of motion and video content classification so as to reduce the number of modes tried during mode decision. When used for video sequences with high motion or detailed visual information, video coding efficiency can be significantly compromised as a result of imperfect classification. In this paper, an efficient Probability Based Macroblock Mode Selection (PBMMS) algorithm is proposed. Each MB is predicted to different probability MB based on spatial and special correlation, which then leads to 50-60% computation savings and some compression performance improvements over existing H.264 fast mode decision algorithms.

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Pruned Mode Decision based on Variable Block Sizes Motion Compensation for H.264

Cited by 15 publications

References 2 publications

Research on fast mode decision for AVS

Research on fast mode decision for AVS

A Fast MB Mode Decision Algorithm for MPEG-2 to H.264 P-Frame Transcoding

Efficient probability based macroblock mode selection in H.264/AVC

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