Title :
Adaptive precision motion estimation for HEVC coding
Author :
Blasi, Saverio G. ; Zupancic, Ivan ; Izquierdo, Ebroul ; Peixoto, Eduardo
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
fDate :
May 31 2015-June 3 2015
Abstract :
Most video coding standards, including the state-of-the-art High Efficiency Video Coding (HEVC), make use of sub-pixel Motion Estimation (ME) with Motion Vectors (MV) at fractional precisions to achieve high compression ratios. Unfortunately, sub-pixel ME comes at very high computational costs due to the interpolation step and additional motion searches. In this paper, a fast sub-pixel ME algorithm is proposed. The MV precision is adaptively selected on each block to skip the half or quarter precision steps when not needed. The algorithm bases the decision on local features, such as the behaviour of the residual error samples, and global features, such as the amount of edges in the pictures. Experimental results show that the method reduces total encoding time by up to 17.6% compared to conventional HEVC, at modest efficiency losses.
Keywords :
data compression; motion estimation; vectors; video codecs; video coding; HEVC coding; MV; adaptive precision motion estimation; high efficiency video coding; motion vectors; subpixel ME algorithm; subpixel motion estimation; video coding standards; video compression ratios; Algorithm design and analysis; Encoding; Libraries; Vehicles; HEVC; Sub-Pixel Motion Estimation; Video Coding;
Conference_Titel :
Picture Coding Symposium (PCS), 2015
Conference_Location :
Cairns, QLD
DOI :
10.1109/PCS.2015.7170064