Name
Abstract | ||
|---|---|---|
In this paper, an efficient motion estimation method for quadtree plus binary tree (QTBT) structure is presented for JVET future video coding (FVC). To exploit the possibility to design a new coding standard better than HEVC, an activity called future video coding has been active in MPEG and VCEG. One of the most influential new technologies proposed for FVC is QTBT structure, which can give more flexibility on the prediction block than quadtree-based HEVC. To advance the compression efficiency of QTBT, we propose a method that, for accurate motion estimation, sets a new point and adjusts search range accordingly based on the motion information of parent node. Performance evaluation was conducted on top of joint exploration model (JEM 3.0), which resulted in a 0.41% gain on average in terms of BD-rate under random access scenario without any burden on encoder complexity. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/DCC.2017.62 | 2017 Data Compression Conference (DCC) |
Keywords | Field | DocType |
Motion Estimation,QTBT,Future Video Coding,JEM,HEVC | Computer vision,Block-matching algorithm,Quarter-pixel motion,Coding tree unit,Computer science,Motion compensation,Multiview Video Coding,Theoretical computer science,Artificial intelligence,Motion estimation,Context-adaptive binary arithmetic coding,Quadtree | Conference |
ISSN | ISBN | Citations |
1068-0314 | 978-1-5090-6722-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanghyo Park | 1 | 2 | 3.14 |
| Euee S. Jang | 2 | 40 | 15.77 |