Abstract
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. © 1992-2012 IEEE.
Original language | English |
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Pages (from-to) | 1598-1609 |
Journal | IEEE Transactions on Image Processing |
Volume | 22 |
Issue number | 4 |
Early online date | 20 Dec 2012 |
DOIs | |
Publication status | Published - Apr 2013 |
Externally published | Yes |
Keywords
- Inter-view prediction
- mode characteristics
- mode decision
- multiview video coding
- optimal stopping