High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Motion vector sharing and bitrate allocation for 3D video-plus-depth coding
EURASIP Journal on Applied Signal Processing - 3DTV: Capture, Transmission, and Display of 3D Video
Depth MAP distortion analysis for view rendering and depth coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multiview depth coding based on combined color/depth segmentation
Journal of Visual Communication and Image Representation
Fast mode decision algorithm for depth coding in 3d video systems using H.264/AVC
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
A novel 3D video transcoding scheme for adaptive 3D video transmission to heterogeneous terminals
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section of best papers of ACM multimedia 2011, and special section on 3D mobile multimedia
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Three-dimensional television systems using depth-image-based rendering techniques are attractive in recent years. In those systems, a monoscopic two-dimensional texture video and its associated depth map sequence are transmitted. In order to utilize transmission bandwidth and storage space efficiently, the depth map sequence should be compressed as well as the texture video. Among previous works for depth map sequence coding, H.264 has shown the best performance; however, it has some disadvantages of requiring long encoding time and high encoder cost. In this paper, we propose a new coding structure for depth map coding with H.264 so as to reduce encoding time significantly while maintaining high compression efficiency. Instead of estimating motion vectors directly in the depth map, we generate candidate motion modes by exploiting motion information of the corresponding texture video. Experimental results show that the proposed algorithm reduces the complexity to 60% of the previous scheme that encodes two sequences separately and coding performance is also improved up to 1dB at low bit rates.