| Paper: | IMDSP-P3.10 | ||
| Session: | Robust and Scalable Coding | ||
| Time: | Tuesday, May 18, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Coding | ||
| Title: | A SCALABLE VERTEX-BASED SHAPE INTRA-CODING SCHEME FOR VIDEO OBJECTS | ||
| Authors: | Mingyou Hu; University of Surrey | ||
| Stewart Worrall; University of Surrey | |||
| Abdul Sadka; University of Surrey | |||
| Ahmet Kondoz; University of Surrey | |||
| Abstract: | Scalable shape encoding is one of the important steps to achieving highly scalable object-based video coding. In this paper, a new scalable vertex-based shape intra-coding scheme has been described. To improve the encoding performance, we propose a new vertex selection scheme, which can reduce the number of approximation vertices. We also propose a new vertex encoding method, in which the information on the coarser layers and statical entropy codering are exploited for high encoding efficiency. Experimental results show that the proposed scheme can provide 25-60% gain over the scalable encoding method. For some sequences, it can achieve 5-10% gain over conventional non-scalable vertex-based coding in bit rate, at the price of additional complexity. | ||
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