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Weighted Link Analysis for Logo and Trademark Image Retrieval on the Web

Explore how Weighted Link Analysis improves logo and trademark image retrieval online. Learn about text queries, relevance, importance, PageRank, HITS, and more. Find out how WPicASHOW handles image and text content in queries to provide a balanced approach to relevance and importance. Experience accurate retrieval of important but not always relevant answers through link analysis. Visit the webpage for over 1.5 million pages with images and discover an advanced retrieval method.

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Weighted Link Analysis for Logo and Trademark Image Retrieval on the Web

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  1. Weighted Link Analysis for Logo and Trademark Image Retrieval on the Web Epimenidis Voutsakis* Euripides G.M. Petrakis* Evangelos Milios** *Technical University of Crete **Dalhousie University

  2. Image Retrieval on the Web • Text queries • Answers: images in Web pages • Relevant but not always important • From corporate web sites, organizations • From individuals and small companies • Link analysis: assign higher ranking to answers from important web site • Important doesn’t mean relevant !! http://www.ece.tuc.gr/intellisearch

  3. Link Analysis • PageRank and HITS for text retrieval • PicASHOW for Web pages with images • WPicASHOW handles image and text content in queries and Web pages • Main idea: co-cited and co-contained images are likely to be related http://www.ece.tuc.gr/intellisearch

  4. Image descriptions as • Text surrounding images in Web pages • Image filename, Alternate text, Page title, Caption • Image features • Intensity histogram, Energy spectrum, Moment invariants http://www.ece.tuc.gr/intellisearch

  5. Example http://www.ece.tuc.gr/intellisearch

  6. WPicASHOW • Queries are matched against text and image descriptions on links • Create the focused sub-graph F • Authorities: principal eigenvector of [(W+I)MT](W+I)M • W: page to page relationships in F • M: page to image relationships in F • Rank answers by authority value http://www.ece.tuc.gr/intellisearch

  7. Text Queries http://www.ece.tuc.gr/intellisearch

  8. Queries by text and image http://www.ece.tuc.gr/intellisearch

  9. Conclusions • Text retrieval: accurate • Relevant but not always important answer • PicASHOW retrieves important but not always relevant answers • WPicASHOW: good compromise between relevance and importance • Handles image content and queries by image example http://www.ece.tuc.gr/intellisearch

  10. Web Implementation • Try WPicASHOW at • http://www.ece.tuc.gr/intellisearch • Over than 1.5 million pages with images • Selection of retrieval method • Link analysis method • And more.. http://www.ece.tuc.gr/intellisearch

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