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An Improved Motion Compensated Temporal Filtering for Efficient Scalable Video Coding  

Jeon, Ki-Cheol (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Kim, Jong-Ho (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Jeong, Je-Chang (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Abstract
In this paper, we study the characteristics of parameters which are related to performance of MCTF which is a key technique for wavelet-based scalable video coding, and propose an improved MCTF method. The proposed MCTF method adopts the motion estimation of which motion vector field is distributed more uniformly using variable block sizes. By using the proposed method, the decomposition performance of temporal filter is improved, and the energy in high-frequency frames is reduced. It can help the entropy coder to generate lower bitrate. From simulation results, we verify the decomposed energy on high-frequency frame using the proposed method is reduced by 25.86% at the most in terms of variance of the high-frequency frame.
Keywords
Motion Compensated Temporal Filtering (MCTF); Scalable Video Coding (SVC); Predictive Motion Vector Field Adaptive Search Technique (PMVFAST);
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