Name
Abstract | ||
|---|---|---|
Tiles is a new feature in the High Efficiency Video Coding (HEVC) standard that divides a picture into independent, rectangular regions. This division provides a number of advantages. Specifically, it increases the "parallel friendliness" of the new standard by enabling improved coding efficiency for parallel architectures, as compared to previous sliced based methods. Additionally, tiles facilitate improved maximum transmission unit (MTU) size matching, reduced line buffer memory, and additional region-of-interest functionality. In this paper, we introduce the tiles feature and survey the performance of the tool. Coding efficiency is reported for different parallelization factors and MTU size requirements. Additionally, a tile-based region of interest coding method is developed. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/JSTSP.2013.2271451 | J. Sel. Topics Signal Processing |
Keywords | Field | DocType |
video coding,HEVC standard,MTU size matching,MTU size requirements,coding efficiency,high efficiency video coding,maximum transmission unit,parallel architectures,parallel friendliness,parallelization factors,reduced line buffer memory,region-of-interest coding method,region-of-interest functionality,sliced based methods,tiles overview,Video coding,high efficiency video coding,multicore processing,tiles | Computer science,Multiview Video Coding,Coding (social sciences),Artificial intelligence,Maximum transmission unit,Tile,Multi-core processor,Computer engineering,Context-adaptive binary arithmetic coding,Computer vision,Algorithmic efficiency,Coding tree unit,Embedded system | Journal |
Volume | Issue | ISSN |
7 | 6 | 1932-4553 |
Citations | PageRank | References |
66 | 3.41 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kiran M. Misra | 1 | 68 | 5.49 |
| C. Andrew Segall | 2 | 220 | 17.78 |
| Michael Horowitz | 3 | 67 | 3.78 |
| Shilin Xu | 4 | 67 | 3.78 |
| Arild Fuldseth | 5 | 179 | 11.01 |
| Minhua Zhou | 6 | 148 | 9.53 |