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Department : Computer Science/ Information Technology/ Electronics

Star Student Project


which are revisited latter in Section Star Student Project . In this paper, we argue that for scalable visual search, directly applying previous distributed Star Student Project information retrieval techniques is unsuitable. This argument will Star Student Project be qualitatively explained in Section III and quantitatively Star Student Project validated in Section Star Student Project . Different from traditional distribution paradigms, we employ visual feature statistics, such as visual Star Student Project word concurrence and redundancy, for Star Student Project an optimal distribution strategy. Our goal is to significantly reduce the computational Star Student Project load via a distributed visual search architecture, so that massive reference images say millions or billions Star Student Project can be searched based on a group of laptops or regular servers, or on cloud Star Student Project computing resources.