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Novel Bitrate Saving and Fast Coding for Depth Videos in 3D-HEVC.
- Source :
-
IEEE Transactions on Circuits & Systems for Video Technology . Oct2016, Vol. 26 Issue 10, p1859-1869. 11p. - Publication Year :
- 2016
-
Abstract
- With the advance of coding and network technology, the multiview video (MVV) system has received growing attention in the 3-D TV market since it can provide consumers with more realistic scenes from different viewpoints. In the MVV system, each video sequence consists of one color-map video and one depth video to be encoded and the depth-image-based rendering technique is often used to create/synthesize virtual views for different viewpoints. To attain the same quality of virtual views, encoding depth videos in a fast and bitrate-saving manner is crucial. Based on the depth no-synthesis-error model developed by Zhao et al., this paper proposes a new intra-/inter-prediction scheme first and then a fast quadtree structure determination scheme for encoding depth videos in 3-D High Efficiency Video Coding (3D-HEVC). The first proposed scheme has bitrate-saving merit because for each coding unit, each depth value is modified to approach the predicted intra-/inter-depth value as closely as possible, but without causing any synthesis errors in the resultant virtual views. The second proposed scheme has the merit of low computational cost because it can terminate the quadtree structure determination for coding tree units as early as possible. Based on four typical test video sequences, the empirical results demonstrate that on average, our proposed encoding method for depth videos has 16.3% bitrate and 13.8% encoding-time improvement ratios when compared with the traditional method in 3D-HEVC test model, while preserving the quality of the rendered virtual views. In addition, our proposed method outperforms that of Lee et al. in terms of the required bitrate and encoding time. [ABSTRACT FROM AUTHOR]
- Subjects :
- *VIDEO coding
*ENCODING
*BIT rate
*IMAGE processing
*IMAGE quality analysis
Subjects
Details
- Language :
- English
- ISSN :
- 10518215
- Volume :
- 26
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Circuits & Systems for Video Technology
- Publication Type :
- Academic Journal
- Accession number :
- 118549264
- Full Text :
- https://doi.org/10.1109/TCSVT.2015.2473296