A fast mode determination algorithm for multi-view video coding

Lee, Pei-Jun; Lin, Ho-Ju; Huang, Shun-Hsing; Wang, Wen-June

doi:10.1109/icce.2011.5722811

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Proposed 93.56 0.0754 [4] 89.22 0.01__ [6] 66.02 0.13__ [10] 73.77 0.11__ [13] 67.01 0.07__ [15] 55.94 0.0003 [16] 76.36 0.06__ [17] 88.68 0.04__ [18] 35.88 0.18__ Exit Proposed 92.92 0.0832 [4] 85.51 0.08__ [6] 71.03 0.12__ [10] 78.50 0.10__ [15] 71.73 0.0043 [16] 83.04 0.09__ [17] 83.68 0.08__ [18] 36.01 0.14__…”

Section: Race1mentioning

confidence: 99%

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A low complexity multi-view video encoder exploiting B-frame characteristics

Miao

Jian

Wang

et al. 2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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This paper proposes a low complexity multi-view video encoder which includes mode decision and early termination based on B-frame characteristics. According to the statistics of coding mode distribution in different B-frame types, we classify all the coding modes into several classes and propose an early terminated mode decision algorithm that can largely reduce the computing complexity. On the other hand, MVDbased adaptive search range scheme is also included in the proposed encoding strategy. In our experimental results, the encoding time is saved up to 91% -93% but the quality loss is controlled within 0.1 dB PSNR drop.I.

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Section: Race1mentioning

confidence: 99%

“…Therefore, multi-view video coding (MVC) [1] has been widely investigated in recent years. We classified these works in several categories: (1) adaptive search range algorithm [2][3][4]; (2) early termination algorithm [5][6]; (3) fast mode decision algorithm [7][8][9][10][11][12][13]; and (4) ME/DE selection algorithm [14][15][16]. Fig.…”

Section: Introductionmentioning

confidence: 99%

A low complexity multi-view video encoder exploiting B-frame characteristics

Miao

Jian

Wang

et al. 2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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Multiview Coding Mode Decision With Hybrid Optimal Stopping Model

Zhao

Wang

et al. 2013

IEEE Trans. on Image Process.

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In a generic decision process, optimal stopping theory aims to achieve a good tradeoff between decision performance and time consumed, with the advantages of theoretical decision-making and predictable decision performance. In this paper, optimal stopping theory is employed to develop an effective hybrid model for the mode decision problem, which aims to theoretically achieve a good tradeoff between the two interrelated measurements in mode decision, as computational complexity reduction and rate-distortion degradation. The proposed hybrid model is implemented and examined with a multiview encoder. To support the model and further promote coding performance, the multiview coding mode characteristics, including predicted mode probability and estimated coding time, are jointly investigated with inter-view correlations. Exhaustive experimental results with a wide range of video resolutions reveal the efficiency and robustness of our method, with high decision accuracy, negligible computational overhead, and almost intact rate-distortion performance compared to the original encoder.

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A fast mode determination algorithm for multi-view video coding

Cited by 2 publications

References 3 publications

A low complexity multi-view video encoder exploiting B-frame characteristics

A low complexity multi-view video encoder exploiting B-frame characteristics

Multiview Coding Mode Decision With Hybrid Optimal Stopping Model

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