Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
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CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
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Proceedings of the international conference on Multimedia information retrieval
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CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
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IEEE Transactions on Multimedia
Histology image indexing using a non-negative semantic embedding
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
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This paper proposes a method for image indexing that allows to retrieve related images under the query-by-example paradigm. The proposed strategy exploits multimodal interactions between text annotations and visual contents in the image database to build a semantic index. We achieve this using a Non-negative Matrix Factorization algorithm to construct a latent semantic space in which visual features and text terms are represented together. The proposed system was evaluated using a standard benchmark dataset. The experimental evaluation shows a significant improvement on the system performance using the proposed multimodal indexing approach.