Share Email Print

Journal of Electronic Imaging

Real-time high-resolution downsampling algorithm on many-core processor for spatially scalable video coding
Author(s): Adamu M. Buhari; Huo-Chong Ling; Vishnu M. Baskaran; KokSheik Wong
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

The progression toward spatially scalable video coding (SVC) solutions for ubiquitous endpoint systems introduces challenges to sustain real-time frame rates in downsampling high-resolution videos into multiple layers. In addressing these challenges, we put forward a hardware accelerated downsampling algorithm on a parallel computing platform. First, we investigate the principal architecture of a serial downsampling algorithm in the Joint-Scalable-Video-Model reference software to identify the performance limitations for spatially SVC. Then, a parallel multicore-based downsampling algorithm is studied as a benchmark. Experimental results for this algorithm using an 8-core processor exhibit performance speedup of 5.25 × against the serial algorithm in downsampling a quantum extended graphics array at 1536p video resolution into three lower resolution layers (i.e., Full-HD at 1080p, HD at 720p, and Quarter-HD at 540p). However, the achieved speedup here does not translate into the minimum required frame rate of 15 frames per second (fps) for real-time video processing. To improve the speedup, a many-core based downsampling algorithm using the compute unified device architecture parallel computing platform is proposed. The proposed algorithm increases the performance speedup to 26.14 × against the serial algorithm. Crucially, the proposed algorithm exceeds the target frame rate of 15 fps, which in turn is advantageous to the overall performance of the video encoding process.

Paper Details

Date Published: 9 February 2015
PDF: 11 pages
J. Electron. Imag. 24(1) 013025 doi: 10.1117/1.JEI.24.1.013025
Published in: Journal of Electronic Imaging Volume 24, Issue 1
Show Author Affiliations
Adamu M. Buhari, Multimedia Univ. (Malaysia)
Huo-Chong Ling, Multimedia Univ. (Malaysia)
Vishnu M. Baskaran, Multimedia Univ. (Malaysia)
KokSheik Wong, Univ. of Malaya (Malaysia)

© SPIE. Terms of Use
Back to Top