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Memory analysis of VLSI architecture for 5/3 and 1/3 motion-compensated temporal filtering
Conference paper

Memory analysis of VLSI architecture for 5/3 and 1/3 motion-compensated temporal filtering

Chao-Tsung Huang, Ching-Yeh Chen, Yi-Hau Chen and Liang-Gee Chen
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol.V, 1416248
2005

Abstract

To the best of authors' knowledge, this paper presents the first work on memory analysis of VLSI architectures for Motion-Compensated Temporal Filtering (MCTF). The open-loop MCTF prediction scheme has led the revolution for hybrid video coding methods that are mainly based on the close-loop MC Prediction (MCP) scheme, and it also becomes the core technology of the coming video coding standard, MPEG-21 part 13 - Scalable Video Coding (SVC). In this paper, the macroblock(MB)-level and frame-level data reuse schemes are analyzed for the MCTF. The MB-level data reuse is especially for the Motion Estimation (ME), and the Level C+ scheme is proposed, which can further reduce the memory bandwidth of the conventional Level C scheme. Frame-level data reuse schemes for MCTF are proposed according to the open-loop prediction nature. © 2005 IEEE.

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