Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Journal of Machine Learning Research
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Multiple Bernoulli relevance models for image and video annotation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Narrowing the semantic gap - improved text-based web document retrieval using visual features
IEEE Transactions on Multimedia
CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines
IEEE Transactions on Circuits and Systems for Video Technology
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Built upon the previous work on automatic image annotation and multimodal image retrieval, in this paper we present a unified multimodal image retrieval framework, called UPMIR. The contributions of this paper include: (1) the development of the UPMIR framework; and (2) extensive evaluations of UPMIR including evaluations against a state-of-the-art image retrieval system in a large scale, visually and semantically diverse database crawled from the Web to demonstrate that UPMIR not only has more effective and efficient retrieval performance, but also facilitates more enhanced retrieval modalities.