Name
Abstract | ||
|---|---|---|
Shape is a popular way to define objects and shape coding is a key technique for object-based 3D video applications. In this paper, the issue of efficient shape coding for object-based 3D video applications is addressed, and a novel contour-based and chain-represented scheme is proposed. For a given 3D shape video, contour extraction and preprocessing are first implemented followed by chain-based representation. Then, to achieve high coding efficiency, a chain-based prediction and compensation technique is developed based on joint motion-compensated prediction and disparity-compensated prediction to effectively exploit the intra-view temporal correlation and the inter-view spatial correlation. Experiments are conducted, and the results demonstrate that the proposed scheme is more efficient than the existing methods, including state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/tcsvt.2018.2881469 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Shape,Encoding,Three-dimensional displays,Image coding,Correlation,Video coding,Video sequences | Computer vision,Algorithmic efficiency,Spatial correlation,Pattern recognition,Computer science,Image coding,Exploit,Preprocessor,Shape coding,Correlation,Artificial intelligence,Encoding (memory) | Journal |
Volume | Issue | ISSN |
29 | 11 | 1051-8215 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhongjie Zhu | 1 | 5 | 3.48 |
| Yuer Wang | 2 | 4 | 2.12 |
| Gangyi Jiang | 3 | 61 | 11.75 |
| Yueping Yang | 4 | 0 | 0.34 |