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An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

L. Balaji, K.K. Thyagharajan, A. Dhanalakshmi
Copyright: © 2015 |Volume: 4 |Issue: 2 |Pages: 14
ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781466680364|DOI: 10.4018/ijsda.2015040103
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MLA

Balaji, L., et al. "An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model." IJSDA vol.4, no.2 2015: pp.42-55. http://doi.org/10.4018/ijsda.2015040103

APA

Balaji, L., Thyagharajan, K., & Dhanalakshmi, A. (2015). An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model. International Journal of System Dynamics Applications (IJSDA), 4(2), 42-55. http://doi.org/10.4018/ijsda.2015040103

Chicago

Balaji, L., K.K. Thyagharajan, and A. Dhanalakshmi. "An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model," International Journal of System Dynamics Applications (IJSDA) 4, no.2: 42-55. http://doi.org/10.4018/ijsda.2015040103

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Abstract

H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR).

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