Title :
A novel integer-pixel motion estimation algorithm based on quadratic prediction
Author :
Longfei Gao;Shengfu Dong;Wenmin Wang;Ronggang Wang;Wen Gao
Author_Institution :
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University
Abstract :
This paper presents a fast integer-pixel motion estimation (ME) algorithm for High Efficiency Video Coding (HEVC), which provides a strategy to speed up the search process significantly, while yielding the same quality performance as the Test Zone Search (TZSearch) scheme in HEVC Test Model (HM). Compared with the H.264/AVC, the ME process employs a more complex hybrid coding architecture and a larger size search window in HEVC, leading to great computational complexity. We utilize limited pixels of certain position in the current search range to build a quadratic model, and then shrink the search range repeatedly by analyzing the sum of absolute difference (SAD) distribution until the best motion vector (MV) is obtained. The proposed algorithm can be applied to various encoding conditions. Experimental results show that our method can save 56% of computations compared with the TZSearch scheme, with negligible decrease of coding quality.
Keywords :
"Prediction algorithms","Computational modeling","Encoding","Motion estimation","Mathematical model","Video coding","Predictive models"
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
DOI :
10.1109/ICIP.2015.7351315