Title :
Reducing computational complexity of adaptive motion estimation through binary comparison
Author :
Moshnyaga, Vasily G. ; Masunaga, Koichi
Author_Institution :
Dept. of Electron. & Comput. Sci., Fukuoka Univ., Japan
Abstract :
A new technique for lowering computational complexity of adaptive motion estimation is proposed. Existing adaptive algorithms require a multi-bit data comparison per iteration and therefore enforce many energy-consuming signal transitions during the computation. We propose to reduce the transitions by replacing the 8-bit comparisons through 1-bit binary operations. Experiments show that such a technique can shrink the computational complexity of adaptive motion estimation by 82% for some frames with 17% on average without any impact on picture quality and performance. The hardware implementation is simple yet very compact
Keywords :
adaptive estimation; computational complexity; data compression; motion estimation; video coding; 8 bit; adaptive algorithms; adaptive motion estimation; architectural optimization; binary comparison; computational complexity reduction; energy-consuming signal transitions; hardware implementation; image sequences; multi-bit data comparison; picture quality; video encoder; Adaptive algorithm; Computational complexity; Computer science; Encoding; Energy dissipation; Focusing; Hardware; Image sequences; Motion estimation; Switches;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Conference_Location :
Phoenix-Scottsdale, AZ
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1011030