Title :
Adaptive block-matching algorithm for video compression
Author :
Feng Ya Lin ; Yang Xiao Kang ; Yu Song Yu
Author_Institution :
Inst. of Image Commun. & Inf. Process., Shanghai Jiaotong Univ., China
Abstract :
Block-matching motion estimation plays an important role in video coding. In this paper, we present an adaptive block-matching algorithm, which determines the candidate motion vectors and a dynamic search window based on the spatial and temporal neighbor blocks. According to the mean absolute error (MAE) based on these motion vectors, stop search, 3/spl times/3 neighbor window search and modified 3SS search in the dynamic window is applied adaptively. This method can significantly reduce search time while the performance is still maintained. Simulation results show the performance of this algorithm is very similar to that of the full search algorithm (FSA) and the computation complexity is smaller than that of 3SS and 4SS.
Keywords :
computational complexity; data compression; image matching; motion estimation; video coding; adaptive block-matching algorithm; candidate motion vectors; computation complexity; dynamic search window; mean absolute error; motion estimation; search time reduction; spatial neighbor blocks; temporal neighbor blocks; video coding; video compression; Computational complexity; Computational modeling; Cost function; Image communication; Information processing; Mean square error methods; Motion estimation; Transform coding; Video coding; Video compression;
Conference_Titel :
Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
Conference_Location :
Beijing, China
Print_ISBN :
7-5635-0402-8
DOI :
10.1109/APCC.1999.820413