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Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC

Vol. 13, No. 1, January 31, 2019
10.3837/tiis.2019.01.022, Download Paper (Free):

Abstract

High Efficiency Video Coding (HEVC) enables significantly improved compression performance relative to existing standards. However, the advance also requires high computational complexity. To accelerate the intra prediction mode decision, a minimum risk Bayesian classification framework is introduced. The classifier selects a small number of candidate modes to be evaluated by a rate-distortion optimization process using the sum of absolute Hadamard transformed difference (SATD). Moreover, the proposed method provides a loss factor that is a good trade-off model between computational complexity and coding efficiency. Experimental results show that the proposed method achieves a 31.54% average reduction in the encoding run time with a negligible coding loss of 0.93% BD-rate relative to HEVC test model 16.6 for the Intra_Main common test condition.


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Cite this article

[IEEE Style]
D. Gwon and H. Choi, "Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC," KSII Transactions on Internet and Information Systems, vol. 13, no. 1, pp. 385-405, 2019. DOI: 10.3837/tiis.2019.01.022.

[ACM Style]
Daehyeok Gwon and Haechul Choi. 2019. Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC. KSII Transactions on Internet and Information Systems, 13, 1, (2019), 385-405. DOI: 10.3837/tiis.2019.01.022.