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

L. Balaji, K.K. Thyagharajan and A. Dhanalakshmi
Additional contact information
L. Balaji: Anna University, Chennai, India & Velammal Institute of Technology, Tamil Nadu, India
K.K. Thyagharajan: RMD Engineering College, Tamil Nadu, India
A. Dhanalakshmi: Panimalar Engineering College, Chennai, India

International Journal of System Dynamics Applications (IJSDA), 2015, vol. 4, issue 2, 42-55

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).

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijsda.2015040103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jsda00:v:4:y:2015:i:2:p:42-55

Access Statistics for this article

International Journal of System Dynamics Applications (IJSDA) is currently edited by Ahmad Taher Azar

More articles in International Journal of System Dynamics Applications (IJSDA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().