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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tohidypour, H.R. Pourazad, M.T. Nasiopoulos, P. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada (Tohidypour, H.R.; Pourazad, M.T.; Nasiopoulos, P.) |
| Abstract | The 3D extension of High Efficiency Video Coding (HEVC) standard (3D-HEVC) aims at improving coding efficiency by introducing new and unique approaches for utilizing correlations between the different views of a scene. Reported coding efficiency, however, comes at the expense of increased computational complexity. For real-time applications, reducing the computational complexity of 3D-HEVC is very important. In this paper, we propose an adaptive fast mode assigning method based on a Bayesian classifier that reduces 3D-HEVC's coding complexity by up to 51.95%, while maintaining the overall quality and bitrate. |
| Sponsorship | IEEE Signal Process. Soc. |
| Starting Page | 895 |
| Ending Page | 899 |
| File Size | 609052 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479928934 |
| DOI | 10.1109/ICASSP.2014.6853726 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-04 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Complexity theory Encoding Video coding Bit rate Three-dimensional displays Standards Training Bayesian classifier 3D HEVC video compression low complexity compression |
| Content Type | Text |
| Resource Type | Article |
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