Bit-rate and computational complexity scalability design for texture-synthesis based video coding

Authors:
Xiaowei Sun;Baocai Yin;Yunhui Shi
Affiliations:
Beijing University of Technology, Beijing, China;Beijing University of Technology, Beijing, China;Beijing University of Technology, Beijing, China
Venue:
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Year:
2009

Citing 8
Cited 0

Scalable multimedia delivery for pervasive computing

MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Graphcut textures: image and video synthesis using graph cuts

ACM SIGGRAPH 2003 Papers
Texture optimization for example-based synthesis

ACM SIGGRAPH 2005 Papers
Factoring repeated content within and among images

ACM SIGGRAPH 2008 papers
Inverse texture synthesis

ACM SIGGRAPH 2008 papers
Video coding by texture analysis and synthesis using graph cut

PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Adapting multimedia Internet content for universal access

IEEE Transactions on Multimedia
Image Compression With Edge-Based Inpainting

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Texture-synthesis based video coding is a newly emerged video coding method which is employed to reduce the bit-rate of texture region. With the increasing amount of different terminals currently available, scalability is also an important concern of the state-of-the-art video coding standards. Due to its intensive calculation instinct, in texture-synthesis based video coding scheme, more emphases should be put on its ability of bit-rate saving, and the reduction of computational complexity. In this paper, we propose a scalable strategy for texture-synthesis based video coding methodology, which mainly focus on bit-rate and computation scalability. Two parameters are used to control bit-rate and computational complexity of the decoder. Experimental results show that the proposed strategy can provide our texture-synthesis based codec with significant scalability of bit-rate and computational complexity.