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Fast Mode Decision Algorithms for Adaptive GOP Structure in the Scalable Extension of H.264/AVC

Fast Mode Decision Algorithms for Adaptive GOP Structure in the Scalable Extension of H.264/AVC. Chih -Wei Chiou , Chia -Ming Tsai, and Chia-Wen Lin Dept. of CSIE, Chung Cheng Univ. IEEE Int. Symposium on Circuits and Systems , May 2007. Outline. Introduction

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Fast Mode Decision Algorithms for Adaptive GOP Structure in the Scalable Extension of H.264/AVC

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  1. Fast Mode Decision Algorithms for Adaptive GOP Structure in the Scalable Extension of H.264/AVC Chih-Wei Chiou, Chia-Ming Tsai, and Chia-Wen Lin Dept. of CSIE, Chung Cheng Univ. IEEE Int. Symposium on Circuits and Systems, May 2007

  2. Outline • Introduction • Scalable Video Coding (SVC) • Motion-Compensated Temporal Filtering (MCTF) • Adaptive GOP Structure (AGS) • Feature-based Fast Mode Decision Algorithms for AGS • Feature Selection • Fast Mode Decision Algorithm • Experimental Results • Conclusion

  3. Motivation of SVC • To support clients with diverse capabilities in complexity, bandwidth, power, and display resolution

  4. Scalable Video Coding (SVC) • Scalable video coding methods can adapt in real time to the bandwidth variations over heterogeneous networks and to the terminal capabilities • Partition of video into layers • SNR scalability: Different quantization levels • Spatial scalability: Different picture size • Temporal scalability: Different frame rate

  5. Motion-Compensated Temporal Filtering (MCTF)

  6. Motion-Compensation

  7. Adaptive GOP Structure (AGS) • Divide a GOP into several sub GOPs by appropriate mode decision • Decreasing the distance between two low-pass pictures

  8. AGS-based MCTF

  9. Algorithm for AGS may have unnecessary MCTF operations

  10. Feature-based Fast Mode Decision Algorithms • Goal: extract reliable features from the first MCTF operation with full GOP size to reduce the complexity of AGS • If the selected best GOP mode contains sub-GOPs → this GOP has larger temporal activities → has relatively larger motion vectors and a larger number of intra macroblocks

  11. Features used for mode decision in AGS

  12. Features used for mode decision in AGS • Average MV magnitude • Number of intra-coded macroblocks

  13. Fast Mode Decision Algorithm

  14. Experimental Results Scheme 1: use number of intra-coded macroblocks of the high-pass frame at lowest layer of MCTF Scheme 2: use the total number of intra-coded macroblocks from the high-pass frames of all layers of MCTF

  15. Experimental Results

  16. Experimental Results

  17. Conclusion • Propose a fast GOP mode selection algorithm to reduce the coding complexity for AGS • Select the average MV magnitude and the number of intra-coded macroblocks as features to capture the temporal characteristics of a GOP • The proposed method avoids unnecessary MCTF procedures of sub-GOPs so as to reduce coding complexity

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