Resource-constrained complexity-scalable video decoding via adaptive B-residual computation

Sharon S. Peng; Zhun Zhong

doi:10.1117/12.453040

4 January 2002 Resource-constrained complexity-scalable video decoding via adaptive B-residual computation

Sharon S. Peng, Zhun Zhong

Proceedings Volume 4671, Visual Communications and Image Processing 2002; (2002) https://doi.org/10.1117/12.453040
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

As media processing gradually migrates from hardware to software programmable platforms, the number of media processing functions added on the media processor grow even faster than the ever-increasing media processor power can support. Computational complexity scalable algorithms become powerful vehicles for implementing many time-critical yet complexity-constrained applications, such as MPEG2 video decoding. In this paper, we present an adaptive resource-constrained complexity scalable MPEG2 video decoding scheme that makes a good trade-off between decoding complexity and output quality. Based on the available computational resources and the energy level of B-frame residuals, the scalable decoding algorithm selectively decodes B-residual blocks to significantly reduce system complexity. Furthermore, we describe an iterative procedure designed to dynamically adjust the complexity levels in order to achieve the best possible output quality under a given resource constraint. Experimental results show that up to 20% of total computational complexity reduction can be obtained with satisfactory output visual quality.

Citation Download Citation

Sharon S. Peng and Zhun Zhong "Resource-constrained complexity-scalable video decoding via adaptive B-residual computation", Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); https://doi.org/10.1117/12.453040

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