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Feature extraction is an essential part in applications that require computer vision to recognize objects in an image processed. To extract the features robustly, feature extraction algorithms are often very demanding in computation so that the performance achieved by pure software is far from real-time. Among those feature extraction algorithms, scale-invariant feature transform (SIFT) has gained...
As the hardware technology advances, the conventional software development approaches would not effective to conduct an efficient algorithm for run-time environments. The problem comes from the over-simplified hardware abstraction model in software development. The mismatch between the hardware model and the real hardware design should be compensated in designing an efficient algorithm. In this study,...
Due to the fast growth of multimedia content, the digital preservation emerges as an important technology that prolongs the life of digital objects. For audio-visual contents, we face the obsolescence problem in both supporting hardware/software and data representation formats. Migration strategy is a solution for achieving high-quality archival and easy access. In this paper, we investigate the concepts...
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