Re-ranking of image search results using a graph algorithm
2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
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Although one of the most common usages of Internet is searching, especially in image search, the users are not satisfied due to many irrelevant results. In this paper we present a method to identify irrelevant results of image search on the İnternet and re-rank the results so that the relevant results will have a higher priority within the list. The proposed method represents the similarity of images in a graph structure, and then finds the densest component in the graph representing the most similar set of images corresponding to the query. ©2008 IEEE.