The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)

Performance optimization for motion compensated 2D wavelet video compression techniques

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Author

Z Li, F Wu, S Li, E Delp

Entry type

article

Abstract

In this paper we present two performance optimization methods for a motion compensated (MC) 2D wavelet video coding technique, which is based on two of the current state-of-the-art codecs: H.26L TML9.4 and JPEG2000 VM7.2. First, a new metric for motion vector selection is proposed to take both edge and texture complexity into account in motion prediction. Second, a frame level rate allocation algorithm, which is an extension of JPEG2000 PCRD (Post Compression Rate Distortion) optimization, is proposed. Experimental results demonstrate the significant performance improvements by these two techniques.

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Date

2003 – 05

Journal

Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on

Key alpha

Delp

Pages

616-619

Volume

2

Publication Date

2003-05-01

Keywords

image texture, motion compensation, optimisation, video codecs, video coding, wavelet transforms H.26L TML9.4, JPEG2000 PCRD, JPEG2000 VM7.2, edge complexity, frame level rate allocation algorithm, motion compensated 2D wavelet video coding technique, motion vector selection, performance optimization methods, post compression rate distortion optimization, state-of-the-art codecs, texture complexity

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