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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/33426

Title: Computation-aware fast motion estimation for H.264/AVC using image indexing
Authors: Chi-Han Chuang;Bob-Nan Chen;Chin-Chun Chang;Shyi-Chyi Cheng
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: Fast block matching;Image indexing;H.264/AVC;Motion estimation;Computation awareness;Inter mode decision;Multilevel block indexing;Multiple-frame referencing
Date: 2011-08
Issue Date: 2013-03-15T01:23:13Z
Publisher: Journal of Visual Communication and Image Representation
Abstract: Abstract:The key to designing a real-time video coding system is efficient motion estimation, which reduces temporal redundancies. The motion estimation of the H.264/AVC coding standard can use multiple references and multiple block sizes to improve rate-distortion performance. The computational complexity of H.264 is linearly dependent on the number of allowed reference frames and block sizes using a full exhaustive search. Many fast block-matching algorithms reduce the computational complexity of motion estimation by carefully designing search patterns with different shapes or sizes, which have a significant impact on the search speed and distortion performance. However, the search speed and the distortion performance often conflict with each other in these methods, and their high computational complexity incurs a large amount of memory access. This paper presents a novel block-matching scheme with image indexing, which sets a proper priority list of search points, to encode a H.264 video sequence. This study also proposes a computation-aware motion estimation method for the H.264/AVC. Experimental results show that the proposed method achieves good performance and offers a new way to design a cost-effective real-time video coding system.
Relation: 22(6), pp.451–464
URI: http://ntour.ntou.edu.tw/handle/987654321/33426
Appears in Collections:[資訊工程學系] 期刊論文

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