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Báo cáo hóa học: " A Framework for Adaptive Scalable Video Coding Using Wyner-Ziv Techniques"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A Framework for Adaptive Scalable Video Coding Using Wyner-Ziv Techniques | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article 1D60971 Pages 1-18 DOI 10.1155 ASP 2006 60971 A Framework for Adaptive Scalable Video Coding Using Wyner-Ziv Techniques Huisheng Wang Ngai-Man Cheung and Antonio Ortega Integrated Media Systems Center and Department of Electrical Engineering USC Viterbi School of Engineering University of Southern California Los Angeles CA 90089-2564 USA Received 27 March 2005 Revised 31 August 2005 Accepted 12 September 2005 This paper proposes a practical video coding framework based on distributed source coding principles with the goal to achieve efficient and low-complexity scalable coding. Starting from a standard predictive coder as base layer such as MPEG-4 baseline video coder in our implementation the proposed Wyner-Ziv scalable WZS coder can achieve higher coding efficiency by selectively exploiting the high quality reconstruction of the previous frame in the enhancement layer coding of the current frame. This creates a multi-layer Wyner-Ziv prediction link connecting the same bitplane level between successive frames thus providing improved temporal prediction as compared to MPEG-4 FGS while keeping complexity reasonable at the encoder. Since the temporal correlation varies in time and space a block-based adaptive mode selection algorithm is designed for each bitplane so that it is possible to switch between different coding modes. Experimental results show improvements in coding efficiency of 3-4.5 dB over MPEG-4 FGS for video sequences with high temporal correlation. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Scalable coding is well suited for video streaming and broadcast applications as it facilitates adapting to variations in network behavior channel error characteristics and computation power availability at the receiving terminal. Predictive coding in which motion-compensated predictors are generated based on previously .