tailieunhanh - Báo cáo hóa học: " Research Article Classified Region Algorithm for Fast Intermode Decision in H.264/AVC Encoder"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Classified Region Algorithm for Fast Intermode Decision in Encoder | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 150809 10 pages doi 2010 150809 Research Article Classified Region Algorithm for Fast Intermode Decision in AVC Encoder K. Bharanitharan 1 Bin-Da Liu 2 and Jar-Ferr Yang2 1 Department of Electrical Engineering Korea University Seoul 136-701 Republic of Korea 2 Department of Electrical Engineering National Cheng Kung University Tainan 701 Taiwan Correspondence should be addressed to K. Bharanitharan mmdharan10@ Received 4 February 2010 Revised 26 June 2010 Accepted 2 September 2010 Academic Editor Yap-Peng Tan Copyright 2010 K. Bharanitharan et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. MPEG-4 Part 10 is the latest digital video coding standard that achieves very high data compression by using several new coding features. One of the new features is variable block sizes for interframe coding to increase compression efficiency. However to achieve this the encoder employs a complex mode decision technique based on rate-distortion optimization RDO that requires high computational complexity which significantly increases the encoder complexity. In this paper we propose a classified region algorithm CRA that analyzes the spatial and temporal homogeneity of the block by using cross differences to reduce the number of modes that are required for RDO calculation in inter mode decision. The proposed low computational complexity algorithm significantly reduces the number of inter modes without affecting the video quality. The experimental results show that the proposed method is able to reduce complexity by up to 67 on average with negligible degradation in both objective and subjective quality. 1. Introduction Compression technology plays a vital role in multimedia .