High-Performance Video Content Analysis using Hybrid, Multi-Core Processors

H. Trease, R. Farber, A. Wynne, and L. Trease (USA)


Video analysis, data-intensive computing, multi-core processors


This paper describes the methods, algorithms, and software engineering used in the construction and use of a high-performance image data analysis application for processing videos and images in either a real-time streaming mode or from stored archival databases. The video analysis algorithms used for this application include video decomposition; object segmentation and extraction; object clustering, classification and characterization; and event classification. In addition to the basic image/video processing algorithms and functionality we also describe the high-performance hybrid multi-core processing framework and parallel programming models upon which this application is built.

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