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| Content Provider | IET Digital Library |
|---|---|
| Author | He, Jing Yang, Fuzheng Zhou, Yicong |
| Abstract | Rate-distortion optimised quantisation (RDOQ) is generally utilised in video coding for achieving higher coding efficiency. To determine the optimal quantised level for each transform coefficient, it requires considerable complexity in practice to calculate rate-distortion (RD) costs from multiple candidates of quantised levels. This study proposes a fast RDOQ algorithm with low computational complexity for the latest video coding standard, the high-efficiency video coding. Instead of calculating the RD costs from two candidates of quantised levels separately, their RD cost differences were derived. A bit-rate estimation method is then used to accurately calculate the length of coding bits in the RD cost function, avoiding the high-computation-cost process of context-adaptive binary arithmetic coding. Experimental results show that, with a negligible degradation of coding performance, the proposed algorithm is faster than RDOQ by 74.6% in average. |
| Starting Page | 652 |
| Ending Page | 661 |
| Page Count | 10 |
| ISSN | 17519659 |
| Volume Number | 9 |
| e-ISSN | 17519667 |
| Issue Number | Issue 8, Aug (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/9/8 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0849 |
| Journal | IET Image Processing |
| Publisher Date | 2015-08-01 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bit Rate Estimation Method H.265/HEVC High-speed Implementation Image And Video Coding Low Computational Complexity Quantisation (signal) Rate Distortion Cost Differences Rate Distortion Function Rate Distortion Optimised Quantisation RDOQ Algorithm Video Coding Video Coding Standard Video Signal Processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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