tailieunhanh - Báo cáo hóa học: " Research Article Motion Vector Sharing and Bitrate Allocation for 3D Video-Plus-Depth Coding"

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: Research Article Motion Vector Sharing and Bitrate Allocation for 3D Video-Plus-Depth Coding | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 258920 13 pages doi 2009 258920 Research Article Motion Vector Sharing and Bitrate Allocation for 3D Video-Plus-Depth Coding Ismael Daribo Christophe Tillier and Beatrice Pesquet-Popescu EURASIP Member Signal and Image Processing Department Telecom ParisTech 46 Rue Barrault Cedex 13 75634 Paris France Correspondence should be addressed to Beatrice Pesquet-Popescu pesquet@ Received 26 October 2007 Revised 14 March 2008 Accepted 21 May 2008 Recommended by A. Enis Cetin The video-plus-depth data representation uses a regular texture video enriched with the so-called depth map providing the depth distance for each pixel. The compression efficiency is usually higher for smooth gray level data representing the depth map than for classical video texture. However improvements of the coding efficiency are still possible taking into account the fact that the video and the depth map sequences are strongly correlated. Classically the correlation between the texture motion vectors and the depth map motion vectors is not exploited in the coding process. The aim of this paper is to reduce the amount of information for describing the motion of the texture video and of the depth map sequences by sharing one common motion vector field. Furthermore in the literature the bitrate control scheme generally fixes for the depth map sequence a percentage of 20 of the texture stream bitrate. However this fixed percentage can affect the depth coding efficiency and it should also depend on the content of each sequence. We propose a new bitrate allocation strategy between the texture and its associated per-pixel depth information. We provide comparative analysis to measure the quality of the resulting 3D t sequences. Copyright 2009 Ismael Daribo et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use .

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