Paper Info
Title
A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding
Abstract
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.
Year
DOI
Venue
2015
10.1109/DCC.2015.46
DCC
Keywords
Field
DocType
Transcoding,H.264/AVC,HEVC,Machine Learning,Naive Bayes
Transcoding,Quarter-pixel motion,Context-adaptive variable-length coding,Computer science,Multiview Video Coding,Theoretical computer science,Real-time computing,Artificial intelligence,Scalable Video Coding,Context-adaptive binary arithmetic coding,Computer vision,Coding tree unit,Algorithm,Data compression
Conference
ISSN
Citations 
PageRank 
1068-0314
1
0.37
References 
Authors
1
5
Name
Order
Citations
PageRank
Antonio Jesus Diaz-Honrubia1437.84
José Luis Martínez210.37
Pedro Cuenca332945.62
José Antonio Gámez4162.49
Jose Miguel Puerta58010.10