@inproceedings{a71dd844d8434533807d78b109b265b7,
title = "Fast depth decision for HEVC inter prediction based on spatial and temporal correlation",
abstract = "High efficiency video coding (HEVC) is a video compression standard that outperforms the predecessor H.264/AVC by doubling the compression efficiency. To enhance the compression accuracy, the partition sizes ranging is from 4x4 to 64x64 in HEVC. However, the manifold partition sizes dramatically increase the encoding complexity. This paper proposes a fast depth decision based on spatial and temporal correlation. Spatial correlation utilize the code tree unit (CTU) Splitting information and temporal correlation utilize the motion vector predictor represented CTU in inter prediction to determine the maximum depth in each CTU. Experimental results show that the proposed method saves about 29.1% of the original processing time with 0.9% of BD-bitrate increase on average.",
keywords = "Depth decision, HEVC, Inter prediction, Spatial and temporal",
author = "Gaoxing Chen and Zhenyu Liu and Takeshi Ikenaga",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; 1st International Workshop on Pattern Recognition ; Conference date: 11-05-2016 Through 13-05-2016",
year = "2016",
doi = "10.1117/12.2243812",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xudong Jiang and Guojian Chen and Chiharu Ishii and Genci Capi",
booktitle = "First International Workshop on Pattern Recognition",
}