A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding

High Efficiency Video Coding was developed by the JCT-VC to replace the current H.264/AVC standard, which has dominated digital video services in all segments of the domestic and professional markets for over ten years. Therefore, there is a lot of legacy content encoded with H.264/AVC, and an effic...

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Bibliographic Details
Main Authors: Diaz Honrubia, Antonio Jesus, Martinez, Jose Luis, Cuenca, Pedro, Gamez, Jose Antonio, Puerta, Jose Miguel
Format: Conference Proceeding
Language:English
Subjects:
Data compression
H.264/AVC
HEVC
Machine Learning
Naive Bayes
Niobium
Probabilistic logic
Rate-distortion
Transcoding
Video coding
Online Access:Request full text
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Summary:High Efficiency Video Coding was developed by the JCT-VC to replace the current H.264/AVC standard, which has dominated digital video services in all segments of the domestic and professional markets for over ten years. Therefore, there is a lot of legacy content encoded with H.264/AVC, and an efficient video transcoding from H.264 to HEVC will be needed to enable gradual migration to HEVC. HEVC adopts a quad tree-based Coding Unit block partitioning structure that is flexible in adapting various texture characteristics at the expense of a high computational cost. This paper presents a data-driven probabilistic CTU splitting algorithm that is designed to exploit the information gathered at the H.264/AVC decoder in order to make faster decisions on CU splitting in HEVC. Experimental results show that the proposed algorithm can achieve a good tradeoff between coding efficiency and complexity compared with the anchor transcoder, and, moreover, it outperforms other related works available in the literature.
ISSN:1068-0314
2375-0359
DOI:10.1109/DCC.2015.46