Machine learning based fast H.264/AVC to HEVC transcoding exploiting block partition similarity

	Machine learning based fast H.264/AVC to HEVC transcoding exploiting block partition similarity
	Zhu, Linwei; Zhang, Yun; Li, Na; Jiang, Gangyi; Kwong, Sam
刊名	JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
	2016
英文摘要	Video transcoding is to convert one compressed video stream to another. In this paper, a fast H.264/AVC to High Efficiency Video Coding (HEVC) transcoding method based on machine learning is proposed by considering the similarity between compressed streams, especially the block partition correlations, to reduce the computational complexity. This becomes possible by constructing three-level binary classifiers to predict quad-tree Coding Unit (CU) partition in HEVC. Then, we propose a feature selection algorithm to get representative features to improve predication accuracy of the classification. In addition, we propose an adaptive probability threshold determination scheme to achieve a good trade-off between low coding complexity and high compression efficiency during the CU depth prediction in HEVC. Extensive experimental results demonstrate the proposed transcoder achieves complexity reduction of 50.2% and 49.2% on average under lowdelay P main and random access configurations while the rate distortion degradation is negligible. The proposed scheme is proved more effective as comparing with the state-of-the-art benchmarks.
收录类别	SCI
原文出处	http://www.sciencedirect.com/science/article/pii/S1047320316300542
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10189]
专题	深圳先进技术研究院_数字所
作者单位	JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
推荐引用方式 GB/T 7714	Zhu, Linwei,Zhang, Yun,Li, Na,et al. Machine learning based fast H.264/AVC to HEVC transcoding exploiting block partition similarity[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2016.
APA	Zhu, Linwei,Zhang, Yun,Li, Na,Jiang, Gangyi,&Kwong, Sam.(2016).Machine learning based fast H.264/AVC to HEVC transcoding exploiting block partition similarity.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION.
MLA	Zhu, Linwei,et al."Machine learning based fast H.264/AVC to HEVC transcoding exploiting block partition similarity".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2016).