Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Using semantic contents and WordNet in image retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Does organisation by similarity assist image browsing?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Emergent Semantics through Interaction in Image Databases
IEEE Transactions on Knowledge and Data Engineering
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Text-Based Approaches for the Categorization of Images
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
ImageRover: A Content-Based Image Browser for the World Wide Web
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Hierarchical clustering of WWW image search results using visual, textual and link information
Proceedings of the 12th annual ACM international conference on Multimedia
Using linguistic models for image retrieval
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
An efficient color representation for image retrieval
IEEE Transactions on Image Processing
A Flexible Image Retrieval Framework
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
A new CBIR system using sift combined with neural network and graph-based segmentation
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
Semantic hierarchies for image annotation: A survey
Pattern Recognition
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In this paper, we introduce a novel approach to image-based information retrieval by combining image analysis with linguistic analysis of associated annotation information. While numerous Content Based Image Retrieval (CBIR) systems exist, most of them are constrained to use images as the only source of information. In contrast, recent research, especially in the area of web-search has also used techniques that rely purely on textual information associated with an image. The proposed research adopts a conceptually different philosophy. It utilizes the information at both the image and annotation level, if it detects a strong semantic coherence between them. Otherwise, depending on the quality of information available, either of the media is selected to execute the search. Semantic similarity is defined through the use of linguistic relationships in WordNet as well as through shape, texture, and color. Our investigations lead to results that are of significance in designing multimedia information retrieval systems. These include technical details on designing cross-media retrieval strategies as well as the conclusion that combining information modalities during retrieval not only leads to more semantically relevant performance but can also help capture highly complex issues such as the emergent semantics associated with images.