Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Bayesian models for visual information retrieval
Bayesian models for visual information retrieval
Experimental result analysis for a generative probabilistic image retrieval model
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Multi-graph enabled active learning for multimodal web image retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
A probabilistic multimedia retrieval model and its evaluation
EURASIP Journal on Applied Signal Processing
A new approach to cross-modal multimedia retrieval
Proceedings of the international conference on Multimedia
From text to image: generating visual query for image retrieval
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Learning to summarize web image and text mutually
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Computing similarity between cultural heritage items using multimodal features
LaTeCH '12 Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
Parallel field alignment for cross media retrieval
Proceedings of the 21st ACM international conference on Multimedia
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We present a framework in which probabilistic models for textual and visual information retrieval can be integrated seamlessly. The framework facilitates searching for imagery using textual descriptions and visual examples simultaneously. The underlying Language Models for text and Gaussian Mixture Models for images have proven successful in various retrieval tasks.