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- 506 creator shumeet-baluja.
- 506 creator yushi-jing.
- 506 type InProceedings.
- 506 label "PageRank for Image Search".
- 506 sameAs 506.
- 506 abstract "In this paper, we cast the image-ranking problem into the task of identifying ``authority" nodes on an inferred visual similarity graph and propose VisualRank to analyze the visual link structure that can be created among a group of images. Through an iterative procedure based on the PageRank computation, a numerical weight is assigned to each image; this measures its relative importance to the other images being considered. The incorporation of visual signals in this process differs from the majority of large-scale commercial-search engines in use today. Commercial search-engines often solely rely on the text clues of the pages in which images are embedded to rank images, and often entirely ignore the content of the images themselves as a ranking signal. To quantify the performance of our approach in a real-world system, we conducted a series of experiments based on the task of retrieving images for 2000 of the most popular products queries. Our experimental results show significant improvement, in terms of user satisfaction and relevancy, in comparison to the most recent Google Image Search results.".
- 506 hasAuthorList authorList.
- 506 hasTopic World_Wide_Web.
- 506 isPartOf proceedings.
- 506 keyword "Graph algorithm".
- 506 keyword "PageRank".
- 506 keyword "Visual Similarity".
- 506 title "PageRank for Image Search".