A vector space model for automatic indexing
Communications of the ACM
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Creating Efficient Codebooks for Visual Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Evaluating the impact of image names in context-based image retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Overview of the wikipediaMM task at ImageCLEF 2009
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Using textual and structural context for searching Multimedia Elements
International Journal of Business Intelligence and Data Mining
Overview of the wikipediaMM task at ImageCLEF 2009
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
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This paper reports our multimedia information retrieval experiments carried out for the ImageCLEF Wikipedia task 2009. We extend our previous multimedia model defined as a vector of textual and visual information based on a bag of words approach [6]. We extract additional textual information from the original Wikipedia articles and we compute several image descriptors (local colour and texture features). We show that combining linearly textual and visual information significantly improves the results.