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Although content-based image retrieval has been studied for decades, most commercial image search engines are still text-based. However, there is a growing demand for techniques to support content-based image search at Web scale. In this paper, we propose an ambitious goal to searching one billion Web images by content, and discuss the major challenges and opportunities. We also present several important...
This paper explores the feasibility of including image information embedded in Web pages in relevance computation to improve search performance. In determining the ranking of Web pages against a given query, most (if not all) modern Web search engines consider two kinds of factors: text information (including title, URL, body text, anchor text, etc) and static ranking (e.g. PageRank [1]). Although...
The competition in search has been driving great innovation and investment on next generation Internet services, with the goal of providing the computing platform for Internet economies on a global scale. Different from traditional Internet services, search involves myriad offline computations to analyze data at a very large scale, and an infrastructure for “scale” experiments is often required to...
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