- Title
- Lossless depth map coding using binary tree based decomposition and context-based arithmetic coding
- Creator
- Shahriyar, Shampa; Murshed, Manzur; Ali, Mortuza; Paul, Manoranjan
- Date
- 2016
- Type
- Text; Conference proceedings; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/102940
- Identifier
- vital:10835
- Identifier
-
https://doi.org/10.1109/ICME.2016.7552984
- Identifier
- ISBN:19457871 (ISSN); 9781467372589 (ISBN)
- Abstract
- Depth maps are becoming increasingly important in the context of emerging video coding and processing applications. Depth images represent the scene surface and are characterized by areas of smoothly varying grey levels separated by sharp edges at the position of object boundaries. To enable high quality view rendering at the receiver side, preservation of these characteristics is important. Lossless coding enables avoiding rendering artifacts in synthesized views due to depth compression artifacts. In this paper, we propose a binary tree based lossless depth coding scheme that arranges the residual frame into integer or binary residual bitmap. High spatial correlation in depth residual frame is exploited by creating large homogeneous blocks of adaptive size, which are then coded as a unit using context based arithmetic coding. On the standard 3D video sequences, the proposed lossless depth coding has achieved compression ratio in the range of 20 to 80. © 2016 IEEE.; Proceedings - IEEE International Conference on Multimedia and Expo
- Publisher
- IEEE Computer Society
- Relation
- 2016 IEEE International Conference on Multimedia and Expo, ICME 2016; Seattle, United States; 11th-15th July 2016; published in Proceedings of the 2016 IEEE International Conference on Mulitmedia and Expo Vol. 2016-August, p. 1-6
- Rights
- Copyright © 2016 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
- Rights
- This metadata is freely available under a CCO license
- Subject
- Binary Tree Based Decomposition; Context Adaptive Arithmetic coding; Lossless Depth Coding; Motion Vector Coding
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