Parallel Processing of Multichannel Video Based on Multicore Architecture

Abstract

Parallel processing and multi-core architectures are being accepted in all segments of industry caused by the need for better performance in real-time and non-real-time systems. This paper presents an implementation of parallel processing system for multichannel video on a multicore architecture using different building blocks. Black Screen Detection algorithm is used for digital image processing. The implemented system was validated by means of a particular case study. Experimentally obtained results are related to analysis of the system scalability, in terms of processing speed up as a function of the number of cores that participate in the processing. Also, due to the specific memory architecture, the influence of a ping-pong mechanism has been analyzed. Based on these results, the use of multi-core architecture for parallel processing to achieve significantly better performance of the target class of embedded systems is justified.