A unified framework for image database clustering and content-based retrieval
Proceedings of the 2nd ACM international workshop on Multimedia databases
Semantic feedback for interactive image retrieval
Proceedings of the 13th annual ACM international conference on Multimedia
Attention-driven image interpretation with application to image retrieval
Pattern Recognition
Proceedings of the international workshop on Workshop on multimedia information retrieval
Mining user hidden semantics from image content for image retrieval
Journal of Visual Communication and Image Representation
Automatic medical image annotation and retrieval
Neurocomputing
Journal of Systems and Software
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Ensemble one-class support vector machines for content-based image retrieval
Expert Systems with Applications: An International Journal
Concept learning by fuzzy k-NN classification and relevance feedback for efficient image retrieval
Expert Systems with Applications: An International Journal
Speed up interactive image retrieval
The VLDB Journal — The International Journal on Very Large Data Bases
An efficient and effective image representation for region-based image retrieval
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
An efficient region-based image representation using Legendre color distribution moments
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
A semantic learning for content-based image retrieval using analytical hierarchy process
Expert Systems with Applications: An International Journal
A continuum between browsing and query-based search for user-centered multimedia information access
AMR'09 Proceedings of the 7th international conference on Adaptive multimedia retrieval: understanding media and adapting to the user
Methods for automatic and assisted image annotation
Multimedia Tools and Applications
Cross-modal interaction and integration with relevance feedback for medical image retrieval
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Integrating color, texture, and spatial features for image interpretation
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Clustering of video packets using interactive refinement by relevance feedback
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Query-dependent visual dictionary adaptation for image reranking
Proceedings of the 21st ACM international conference on Multimedia
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Relevance feedback is a powerful technique for image retrieval and has been an active research direction for the past few years. Various ad hoc parameter estimation techniques have been proposed for relevance feedback. In addition, methods that perform optimization on multilevel image content model have been formulated. However, these methods only perform relevance feedback on low-level image features and fail to address the images' semantic content. In this paper, we propose a relevance feedback framework to take advantage of the semantic contents of images in addition to low-level features. By forming a semantic network on top of the keyword association on the images, we are able to accurately deduce and utilize the images' semantic contents for retrieval purposes. We also propose a ranking measure that is suitable for our framework. The accuracy and effectiveness of our method is demonstrated with experimental results on real-world image collections.