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Rate-distortion optimized block classification and bit allocation in screen video compression | IEEE Conference Publication | IEEE Xplore

Rate-distortion optimized block classification and bit allocation in screen video compression

Publisher: IEEE

Abstract:

Due to the divergent characteristics of image contents and text contents in screen videos, how to make the joint optimization leveraging rate-distortion (R-D) optimized b...View more

Abstract:

Due to the divergent characteristics of image contents and text contents in screen videos, how to make the joint optimization leveraging rate-distortion (R-D) optimized block classification and bit allocation is critical to the compression performance. In this paper, a general model-based solution is proposed as an attempt to solve this problem. The contributions of this paper are twofold: First, the rate and distortion characteristics of image blocks and text blocks in block-based content-adaptive screen video encoder (BASC) are carefully studied, and the rate and distortion models are proposed. Second, with the proposed rate and distortion models, the R-D optimized block classification and bit allocation are derived using bisection searched Lagrange multiplier method. Experimental results demonstrate that the proposed R-D optimized block classification and bit allocation algorithms are able to adapt to diverse screen contents, which results in a significant gain of up to 4.5dB in PSNR.
Date of Conference: 19-23 May 2013
Date Added to IEEE Xplore: 01 August 2013
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: Beijing, China

References

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