Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Unifying textual and visual cues for content-based image retrieval on the World Wide Web
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modern Information Retrieval
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Narrowing the semantic gap - improved text-based web document retrieval using visual features
IEEE Transactions on Multimedia
Joint semantics and feature based image retrieval using relevance feedback
IEEE Transactions on Multimedia
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a cross-modal approach of image retrieval from a medical image collection which integrates visual information based on purely low-level image contents and case related textual information from the annotated XML files. The advantages of both the modalities are exploited by involving the users in the retrieval loop. For content-based search, low-level visual features are extracted in vector form at different image representations. For text-based search, keywords from the annotated files are extracted and indexed by employing the vector space model of information retrieval. Based on the relevance feedback, textual and visual query refinements are performed and user's perceived semantics are propagated from one modality to another. Finally, the most similar images are obtained by a linear combination of similarity matching and re-ordering in a pre-filtered image set. The experiments are performed on a collection of diverse medical images with case-based annotation of each image by experts. It demonstrates the flexibility and the effectiveness of the proposed approach compared to using only a single modality or without any feedback information.