Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
X-IOTA: an open XML framework for IR experimentation
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Image retrieval by inter-media fusion and pseudo-relevance feedback
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Semantic combination of textual and visual information in multimedia retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Dynamic two-stage image retrieval from large multimodal databases
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Fusion vs. two-stage for multimodal retrieval
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Multimodal indexing based on semantic cohesion for image retrieval
Information Retrieval
Dynamic two-stage image retrieval from large multimedia databases
Information Processing and Management: an International Journal
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This paper shows how to use a text retrieval and an image retrieval engine in a cooperative way. The proposed Inter-Media Pseudo-Relevance Feedback approach shows how the image modality can be used for expanding the text query and significantly improve the performance (MAP) of a multimedia information retrieval system. The document collection used for experiments is provided by the International Association for Pattern Recognition (IAPR) [1]. The proposed approach is completely automatic and has been used to participate to the ImageCLEF 2006 Photo Retrieval task.