{"title":"Performance Enhancement of Motion Estimation Using SSE2 Technology","authors":"Trung Hieu Tran, Hyo-Moon Cho, Sang-Bock Cho","volume":16,"journal":"International Journal of Computer and Information Engineering","pagesStart":1006,"pagesEnd":1010,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/214","abstract":"Motion estimation is the most computationally\r\nintensive part in video processing. Many fast motion estimation\r\nalgorithms have been proposed to decrease the computational\r\ncomplexity by reducing the number of candidate motion vectors.\r\nHowever, these studies are for fast search algorithms themselves while\r\nalmost image and video compressions are operated with software\r\nbased. Therefore, the timing constraints for running these motion\r\nestimation algorithms not only challenge for the video codec but also\r\noverwhelm for some of processors. In this paper, the performance of\r\nmotion estimation is enhanced by using Intel's Streaming SIMD\r\nExtension 2 (SSE2) technology with Intel Pentium 4 processor.","references":"[1] T. Wiegand, G. J. Sullivan, G. Bjontegaard and A. Luthra, \"Overview of\r\nthe H.264\/AVC Video Coding Standard,\" IEEE Trans. Circuits. Syst.\r\nVideo Technol., vol. 13, pp. 560-576, July 2003.\r\n[2] X. Jing and L. P. Chau, \"An Efficient Three-Step Search Algorithm for\r\nBlock Motion Estimation,\" IEEE Trans. Mutimedia, vol. 6, pp. 435-438,\r\nJune 2004.\r\n[3] D. Talla, L. K. John and D. Burger, \"Bottenecks in Multimedia Processing\r\nwith SIMD Style Extensions and Architectural Enhancements,\" IEEE\r\nTrans. Computers, vol. 52, pp. 1015-1031, August 2003.\r\n[4] \"Using SSE2 in Motion Compensation for Video Decoding and\r\nEncoding,\" Intel Application Note, AP-942.\r\n[5] A. Peleg and U. Weiser, \"MMX Technology Extension to the Intel\r\nArchitecture,\" IEEE Micro, August 1996.\r\n[6] G. Hinton, D. Sager, M. Upton, D. Boggs, D. Carmean, A. Kyker, and P.\r\nRoussel, \"The Microarchitecture of the Pentium 4 Processor\", Intel\r\nTechnology Journal Q1, 2001.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 16, 2008"}