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A Novel Adaptive Scanning Approach for Effective H.265/HEVC Entropy Coding

A Novel Adaptive Scanning Approach for Effective H.265/HEVC Entropy Coding

Wei Li, Fan Zhao, Peng Ren, Zheng Xiang
Copyright: © 2016 |Volume: 7 |Issue: 4 |Pages: 11
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781466689930|DOI: 10.4018/IJMCMC.2016100102
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MLA

Li, Wei, et al. "A Novel Adaptive Scanning Approach for Effective H.265/HEVC Entropy Coding." IJMCMC vol.7, no.4 2016: pp.17-27. http://doi.org/10.4018/IJMCMC.2016100102

APA

Li, W., Zhao, F., Ren, P., & Xiang, Z. (2016). A Novel Adaptive Scanning Approach for Effective H.265/HEVC Entropy Coding. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 7(4), 17-27. http://doi.org/10.4018/IJMCMC.2016100102

Chicago

Li, Wei, et al. "A Novel Adaptive Scanning Approach for Effective H.265/HEVC Entropy Coding," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 7, no.4: 17-27. http://doi.org/10.4018/IJMCMC.2016100102

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Abstract

The block transform video coder of H.265/HEVC has been formulated for a more flexible content representation to satisfy various implementation demands. Here three coefficient-scanning methods of diagonal, horizontal and vertical scan are employed for mapping a 2-D array to a 1-D vector for further reducing redundancy in entropy coding. However, the fixation scanning pattern does not fully exploit the correlation among quantized coefficients and the coding redundancy still exists. In this paper, a new adaptive coefficient scanning (ACS) method is proposed for effective H.265/HEVC entropy coding. Here the characteristic of syntax elements of quantized coefficients is first studied and then the related context probability of symbol is estimated through combining local property. Guided by the principle of entropy coding, the scanning approach is established for higher coding performance. Experimental results demonstrate that a reduction of about 3.6%–4.2% in bit-rate can be observed with almost no loss in coding complexity.

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