Enhancement of search engines with image analysis

2018-05-11T14:31:10+02:00Categories: Computer Vision|Tags: , |0 Comments

Common search engines like Google or Bing still just rely on text-based analysis, providing real time results with great accuracy. However, sometimes, the page rank implemented by these search engines does not provide the web-pages that we are looking for. Sergio Rodriguez-Vaamonde, researcher at Tecnalia Computer Vision Area, under the supervision of Prof. Lorenzo Torresani from Dartmouth College and in collaboration with Microsoft Research have proved that image information can be included in text-based search engines to increase the search accuracy. In order to test this hypothesis, Sergio developed a search engine that analyses the page rank returned by a text search and extracts the visual information associated to each web-page image. The algorithm uses computer vision and artificial intelligence techniques to properly describe and categorize the images and use this information to re-rank the results of the text search engine. Performed test on the TREC datasets reveal [...]