DocumentCode
2116298
Title
Edge Gradient Based Fast Inter Motion Estimation for H.264/AVC
Author
Liu, Zhenyu ; Song, Yang ; Huang, Yiqing ; Li, Lingfeng ; Goto, Satoshi ; Ikenaga, Takeshi
Author_Institution
Waseda Univ., Kitakyushu
fYear
2007
fDate
27-29 Sept. 2007
Firstpage
52
Lastpage
57
Abstract
H.264/AVC coding standard processes variable block size (VBS) motion estimation(ME) on multiple reference frames (MRF) to improve the coding gain. However, the computation is also increased in proportion to the product of the reference frame number and the inter modes. Through mathematical analysis, it is illustrated that the motion-compensated prediction error is mainly determined by the edge gradient amplitude. The image block being rich of texture and sharp edges contains much high frequency signal and this nature makes VBS MRF ME essential. The spatial homogeneity of a block is decided by its maximum edge gradient and its threshold for the edge gradient detection, which is 5 times quantization parameter (QP), is derived from rate-distortion theory. For the homogenous block, its ME computation for the futile reference frames and inter modes can be saved. Through evaluating the edge gradient, the block motion speed can be estimated to reduce the search area of integer ME. Based on the homogeneity of one 8times8 block, its Lagrangian Multiplier is also optimized to improve the coding quality. Moreover, we also provide a fast ´skip_mb´ detection algorithm based on Hadamard coefficients and the current QP. Experimental results show that 61.4%-88.9% computation can be saved by our approaches with the competitive coding quality as the exhaustive search algorithm.
Keywords
edge detection; gradient methods; motion estimation; rate distortion theory; search problems; video coding; H.264/AVC coding standard process; Hadamard coefficients; Lagrangian multiplier; block motion speed; coding gain; coding quality; edge gradient amplitude; edge gradient based fast inter motion estimation; edge gradient detection; futile reference frames; high frequency signal; image block; mathematical analysis; maximum edge gradient; motion-compensated prediction error; multiple reference frames; quantization parameter; rate-distortion theory; reference frame number; search algorithm; spatial homogeneity; variable block size motion estimation; Automatic voltage control; Frequency; Image edge detection; Lagrangian functions; Mathematical analysis; Motion analysis; Motion estimation; Quadratic programming; Quantization; Rate-distortion;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on
Conference_Location
Istanbul
ISSN
1845-5921
Print_ISBN
978-953-184-116-0
Type
conf
DOI
10.1109/ISPA.2007.4383663
Filename
4383663
Link To Document