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This paper examines and extracts the parallelism in the AdaBoost person detection algorithm on multi-core processors. As multi-core processors become pervasive, effectively executing many threads simultaneously is crucial in harnessing the computation power. Although the application exposes many levels of parallelism, none of them delivers a satisfactory scaling performance on newest multi-core processors...
After analyzing the performance bottlenecks of the Hough transform on multi-core processors, this paper proposes a new Hough transform implementation. The performance of microprocessors improves significantly because of the introduction of multiple cores. To harness the computation power of such multi-core processors, we must effectively execute many threads at the same time. This paper first studies...
As digital video data becomes more pervasive, mining information from multimedia data becomes increasingly important. However, the huge computational requirement prohibits its wide use in practice. This paper presents some optimization techniques and parallel approaches to accelerate a real video mining application -goalmouth detection in soccer video. By tuning the application performance with efficient...
As video data become more and more pervasive, mining information from multimedia data sources becomes increasingly important, e.g., automatically extracting highlights from soccer game video content. However, the huge computation requirement of mining interested data limits its wide use in practice. Since the hardware imperative behind computer architecture is shifting from uniprocessors to multi-core...
As digital video data becomes more pervasive, mining information from multimedia data becomes increasingly important, e.g., extraction of goal events in soccer game automatically from the video content. Though all of these advances in multimedia mining have shown great potential in daily life, the huge computational requirement prohibits its wide use in practice. As computer architecture evolves from...
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