Disparity and motion activity based mode prediction for fast mode decision in multiview video coding

Dan MAO; Yun ZHANG; Qian CHEN; Sam KWONG

doi:10.1007/978-1-4614-3501-3_15

Disparity and motion activity based mode prediction for fast mode decision in multiview video coding

Dan MAO, Yun ZHANG, Qian CHEN, Sam KWONG

Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

Abstract

Multiview video coding (MVC) uses exhaustive variable size block mode decision in motion estimation and disparity estimation to improve coding efficiency; however, it causes intensive computational complexity. A fast mode decision algorithm for the non-anchor pictures is proposed to lower computational complexity of MVC. In the proposed algorithm, mode decision is early terminated based on the inter-view mode correlation among neighboring views and motion activity predicted from motion information from checking previous macroblock mode. Experimental results show that the proposed fast mode decision algorithm achieves from 53.67 to 81.75% complexity reduction. Meanwhile, the peak signal-to-noise ratio degradation of the proposed algorithm is 0.046 dB on average and bit rate increases from-2.13% to 0.77%, which are negligible.

Original language	English
Title of host publication	The Era of Interactive Media
Pages	177-187
DOIs	https://doi.org/10.1007/978-1-4614-3501-3_15
Publication status	Published - 1 Oct 2013
Externally published	Yes

Bibliographical note

The work described forms part of a European Union funded Research Training Network Project on Manufacture and Characterisation of Nanostructured Alloys, contract no. HPRN-CT-2000-00038.

Keywords

Disparity estimation
Inter-view correlation
Mode decision
Multiview video coding

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10.1007/978-1-4614-3501-3_15

Cite this

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abstract = "Multiview video coding (MVC) uses exhaustive variable size block mode decision in motion estimation and disparity estimation to improve coding efficiency; however, it causes intensive computational complexity. A fast mode decision algorithm for the non-anchor pictures is proposed to lower computational complexity of MVC. In the proposed algorithm, mode decision is early terminated based on the inter-view mode correlation among neighboring views and motion activity predicted from motion information from checking previous macroblock mode. Experimental results show that the proposed fast mode decision algorithm achieves from 53.67 to 81.75% complexity reduction. Meanwhile, the peak signal-to-noise ratio degradation of the proposed algorithm is 0.046 dB on average and bit rate increases from-2.13% to 0.77%, which are negligible.",

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AU - MAO, Dan

AU - ZHANG, Yun

AU - CHEN, Qian

AU - KWONG, Sam

N1 - The work described forms part of a European Union funded Research Training Network Project on Manufacture and Characterisation of Nanostructured Alloys, contract no. HPRN-CT-2000-00038.

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N2 - Multiview video coding (MVC) uses exhaustive variable size block mode decision in motion estimation and disparity estimation to improve coding efficiency; however, it causes intensive computational complexity. A fast mode decision algorithm for the non-anchor pictures is proposed to lower computational complexity of MVC. In the proposed algorithm, mode decision is early terminated based on the inter-view mode correlation among neighboring views and motion activity predicted from motion information from checking previous macroblock mode. Experimental results show that the proposed fast mode decision algorithm achieves from 53.67 to 81.75% complexity reduction. Meanwhile, the peak signal-to-noise ratio degradation of the proposed algorithm is 0.046 dB on average and bit rate increases from-2.13% to 0.77%, which are negligible.

AB - Multiview video coding (MVC) uses exhaustive variable size block mode decision in motion estimation and disparity estimation to improve coding efficiency; however, it causes intensive computational complexity. A fast mode decision algorithm for the non-anchor pictures is proposed to lower computational complexity of MVC. In the proposed algorithm, mode decision is early terminated based on the inter-view mode correlation among neighboring views and motion activity predicted from motion information from checking previous macroblock mode. Experimental results show that the proposed fast mode decision algorithm achieves from 53.67 to 81.75% complexity reduction. Meanwhile, the peak signal-to-noise ratio degradation of the proposed algorithm is 0.046 dB on average and bit rate increases from-2.13% to 0.77%, which are negligible.

KW - Disparity estimation

KW - Inter-view correlation

KW - Mode decision

KW - Multiview video coding

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Disparity and motion activity based mode prediction for fast mode decision in multiview video coding

Abstract

Bibliographical note

Keywords

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