Parallelization and Performance Analysis of Video Feature Extractions on Multi-Core Based Systems

Author

Zhang, Qi ; Chen, Yurong ; Li, Jianguo ; Zhang, Yimin ; Xu, Yinlong

Author_Institution

Dept. of Comput. Sci., Univ. of Sci. & Technol. of China, Hefei

fYear

2007

Firstpage

1

Lastpage

1

Abstract

Content-based video information retrieval (CBVIR) has becoming one of the best solutions for retrieving useful information from today´s video information explosion. And with the rapid development of modern technologies, CBVIR is emerging as a mass market desktop application. There is evidence that visual feature extraction is the most time-consuming part in a CBVIR system. In this paper, we implement three video visual feature extractions in parallel by exploring different kinds of thread-level parallelism. We also conduct detailed scalability and memory performance analysis on two multi-core based systems, in order to gain more insights into video-analysis related applications on future multi-core systems. From our analysis we identify the likely causes of bottlenecks in these kinds of applications and suggest ways to improve scalability.

Keywords

content-based retrieval; feature extraction; video signal processing; content-based video information retrieval; multi-core based systems; thread-level parallelism; video feature extractions; video-analysis; Content based retrieval; Feature extraction; Frequency domain analysis; Gabor filters; Information retrieval; Kernel; MPEG 7 Standard; NIST; Performance analysis; Scalability;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Processing, 2007. ICPP 2007. International Conference on

Conference_Location

Xi´an

ISSN

0190-3918

Print_ISBN

978-0-7695-2933-2

Type

conf

DOI

10.1109/ICPP.2007.65

Filename

4343808