Title: An optimal mode selection algorithm for scalable video coding

Authors: L. Balaji; K.K. Thyagharajan; C. Raja; A. Dhanalakshmi

Addresses: Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, India ' Department of ECE, RMD Engineering College, Chennai 601206, India ' Department of ECE, Vignan's Foundation for Science Technology and Research, Vadlamudi, Guntur Dt., Andhra Pradesh, 522213, India ' Department of EIE, Panimalar Engineering College, Chennai 600123, India

Abstract: Scalable video coding (SVC) is extended from its predecessor advanced video coding (AVC) because of its flexible transmission to all type of gadgets. However, SVC is more flexible and scalable than AVC, but it is more complex in determining the computations than AVC. The traditional full search method in the standard H.264 SVC consumes more encoding time for computation. This complexity in computation need to be reduced and many fast mode decision (FMD) algorithms were developed, but many fail to balance in all the three measures such as peak signal to noise ratio (PSNR), encoding time and bit rate. In this paper, the proposed optimal mode selection algorithm based on the orientation of pixels achieves better time saving, good PSNR and coding efficiency. The proposed algorithm is compared with the standard H.264 JSVM reference software and found to be 57.44% time saving, 0.43 dB increments in PSNR and 0.23% compression in bit rate.

Keywords: scalable video coding; SVC; computation; mode selection; peak signal to noise ratio; PSNR; time; bit rate.

DOI: 10.1504/IJCVR.2020.105685

International Journal of Computational Vision and Robotics, 2020 Vol.10 No.2, pp.143 - 155

Received: 05 Nov 2018
Accepted: 16 Apr 2019

Published online: 04 Mar 2020 *

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