Frame-layer rate control algorithm for multi-view video coding

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Frame-layer rate control algorithm for multi-view video coding

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ACM/SIGEVO Summit on Genetic and Evolutionary Computation archive
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation table of contents

Shanghai, China

POSTER SESSION: Poster sessions table of contents

Pages 1025-1028

Year of Publication: 2009

ISBN:978-1-60558-326-6

Authors

Tao Yan	School of Communication and Information Engineering, shanghai, China
Liquan Shen	School of Communication and Information Engineering, shanghai, China
Ping An	School of Communication and Information Engineering, shanghai, China
He Wang	School of Communication and Information Engineering, shanghai, China
Zhaoyang Zhang	School of Communication and Information Engineering, shanghai, China

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 16, Downloads (12 Months): 51, Citation Count: 0

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ABSTRACT

Rate control has not been well studied for multi-view video coding (MVC). We propose a rate control algorithm for MVC based on the quadratic rate-distortion model. We remodel the quadratic rate-distortion model for multi-view videos based on the type of each frame. In the frame level, the quantization parameters are set according to the parameters of the various kinds of image model which is set up through the analysis of the coded information. The experimental results show that the proposed scheme can allocate the bits and control the rate efficiently.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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