Sciweavers

Share
CVPR
2010
IEEE

Improving web-image search results using query-relative classifiers

9 years 3 months ago
Improving web-image search results using query-relative classifiers
Web image search using text queries has received considerable attention. However, current state-of-the-art approaches require training models for every new query, and are therefore unsuitable for real-world web search applications. The key contribution of this paper is to introduce generic classifiers that are based on query-relative features which can be used for new queries without additional training. They combine textual features, based on the occurrence of query terms in web pages and image meta-data, and visual histogram representations of images. The second contribution of the paper is a new database for the evaluation of web image search algorithms. It includes 71478 images returned by a web search engine for 353 different search queries, along with their meta-data and ground-truth annotations. Using this data set, we compared the image ranking performance of our model with that of the search engine, and with an approach that learns a separate classifier for each query. Our gen...
Josip Krapac, Moray Allan, Jakob Verbeek, Frédér
Added 14 May 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Josip Krapac, Moray Allan, Jakob Verbeek, Frédéric Jurie
Comments (0)
books