Social media driven image retrieval
|Social media driven image retrieval|
|Author(s)||Popescu A., Grefenstette G.|
|Published in||Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR'11|
|Keyword(s)||Flickr, image retrieval, Wikipedia (Extra: Flickr, Query model, Ranking technique, Social media, State-of-the-art methods, Textual annotations, User-generated content, Web 2.0, Wikipedia, User interfaces, Image retrieval)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
Social media driven image retrieval is a 2011 conference paper written in English by Popescu A., Grefenstette G. and published in Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR'11.
People often try to find an image using a short query and images are usually indexed using short annotations. Matching the query vocabulary with the indexing vocabulary is a difficult problem when little text is available. Textual user generated content in Web 2.0 platforms contains a wealth of data that can help solve this problem. Here we describe how to use Wikipedia and Flickr content to improve this match. The initial query is launched in Flickr and we create a query model based on co-occurring terms. We also calculate nearby concepts using Wikipedia and use these to expand the query. The final results are obtained by ranking the results for the expanded query using the similarity between their annotation and the Flickr model. Evaluation of these expansion and ranking techniques, over the Image CLEF 2010 Wikipedia Collection containing 237,434 images and their multilingual textual annotations, shows that a consistent improvement compared to state of the art methods.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.