Paper Info
Title
Entropy difference-based early skip detection technique for high-efficiency video coding
Abstract
Abstract Recently, high-efficiency video coding (HEVC) has been developed as a new video coding standard focusing on the coding of ultrahigh definition videos as high-resolution and high-quality videos are getting more popular. However, one of the most important challenges in this new standard is its encoding time complexity. Due to this it is quite difficult to implement the HEVC encoder as a real-time system. In this paper, we have addressed this problem in a new way. Generally, for a natural video sequence good amount of coding blocks are “skip” in nature, which need not be transmitted and can be generated in the decoder side using the reference pictures. In this paper, we propose an early skip detection technique for the HEVC. Our proposed method is based on identifying the motionless and homogeneous regions in a video sequence. Moreover, a novel entropy difference-based calculation is proposed in this paper which can predict the skip coding blocks more accurately in a natural video sequence. The experimental result shows our proposed technique can achieve more than 30 % encoding time reduction than the conventional HEVC encoder with negligible degradation in video quality.
Year
DOI
Venue
2016
10.1007/s11554-014-0476-0
Journal of Real-time Image Processing
Keywords
Field
DocType
High-efficiency video coding (HEVC),Video compression,Entropy,Skip detection
Computer vision,Coding tree unit,Computer science,Motion compensation,Multiview Video Coding,Real-time computing,Video tracking,Artificial intelligence,Smacker video,Data compression,Video quality,Context-adaptive binary arithmetic coding
Journal
Volume
Issue
ISSN
12
2
1861-8219
Citations 
PageRank 
References 
7
0.60
14
Authors
5
Name
Order
Citations
PageRank
Goswami, K.1203.23
Jong-Hyeok Lee2292.31
kyungsoon jang3132.11
Byung-Gyu Kim439639.17
Kee-Koo Kwon5256.26