Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building a Latent Semantic Index of an Image Database from Patterns of Relevance Feedback
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Towards Data-Adaptive and User-Adaptive Image Retrieval by Peer Indexing
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Learning an image manifold for retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Effective automatic image annotation via a coherent language model and active learning
Proceedings of the 12th annual ACM international conference on Multimedia
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 9 - Volume 09
Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient and effective region-based image retrieval framework
IEEE Transactions on Image Processing
A memory learning framework for effective image retrieval
IEEE Transactions on Image Processing
Relevance feedback using generalized Bayesian framework with region-based optimization learning
IEEE Transactions on Image Processing
Learning a semantic space from user's relevance feedback for image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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In order to reduce the gap between low-level image features and high-level image semantics, various long term learning strategies were integrated into content-based image retrieval system. The strategies always use the semantic relationships among images to improve the effectiveness of the retrieval system. This paper proposes a semantic similarity propagation method to mine the hidden semantic relationships among images. The semantic relationships are propagated between the similar images and regions. Experimental results verify the improvement on similarity propagation and image retrieval.