Paper Info
Title
A fast skip and direction adaptive search algorithm for Sub-Pixel Motion Estimation on HEVC
Abstract
Motion Estimation (ME) is one of the most time-consuming parts in video coding loop. It is important to develop fast Sub-Pixel ME (SPME) algorithm which brings higher prediction accuracy as well as higher computational complexity. In this paper, we propose a fast skip and direction adaptive search algorithm for SPME in order to balance the coding performance and complexity. Firstly, a fast skip algorithm is utilized to skip SPME directly in most stationary regions and an error-tolerant algorithm is introduced to avoid over-optimization. Next, a direction adaptive search algorithm with early-termination technique is applied to 1/2-pixel and 1/4-pixel motion search. Experimental results demonstrate the advantage of the proposed algorithm on HEVC reference software HM-16.0, which succeeds in reduction of the total encoding time averagely for up to 42.37% on surveillance videos and 26.60% on conference videos with a negligible coding efficiency loss.
Year
DOI
Venue
2017
10.1109/ICMEW.2017.8026229
2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Keywords
Field
DocType
Sub-pixel motion estimation,MVP,direction adaptive search,HEVC
Computer vision,Algorithmic efficiency,Search algorithm,Computer science,Coding (social sciences),Pixel,Artificial intelligence,Motion estimation,Reference software,Computational complexity theory,Encoding (memory)
Conference
ISSN
ISBN
Citations 
2330-7927
978-1-5386-0561-5
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
Yan Jiaying100.34
Yonghong Tian21057102.81
Yaowei Wang313429.62
Siwei Dong4285.33
Tiejun Huang51281120.48