Name
Abstract | ||
|---|---|---|
Tiles have been introduced to the next generation video coding standard, high-efficiency video coding (HEVC) standard, as a fundamental tool to reduce on-chip memory requirement during encoding and decoding high-definition video. In this paper, a content adaptive tile partitioning approach is proposed to improve the compression efficiency for HEVC under the on-chip memory constraint. Local competition optimization-based rectangular clustering is proposed to partition the frames into a required number of tiles adapting to content variations. Under the same memory constraint, the adaptive scheme improves compression efficiency by up to 1.8% bitrate saving relative to uniformly spaced tiles with negligible complexity increment. It especially benefits the videos with regional high spatial correlations and no penalty in compression efficiency is observed for other types of videos. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TMM.2016.2600439 | IEEE TRANSACTIONS ON MULTIMEDIA |
Keywords | Field | DocType |
Adaptive tiles,high efficiency video coding (HEVC),on-chip memory constrained video coding,rectangular clustering | Computer science,Multiview Video Coding,Real-time computing,Memory management,Artificial intelligence,Cluster analysis,Context-adaptive binary arithmetic coding,Computer vision,System on a chip,Coding tree unit,Algorithm,Decoding methods,Encoding (memory) | Journal |
Volume | Issue | ISSN |
18 | 12 | 1520-9210 |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Jin | 1 | 98 | 26.32 |
| Qionghai Dai | 2 | 3904 | 215.66 |