Content-based image retrieval by clustering
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Proceedings of the 15th international conference on World Wide Web
IGroup: presenting web image search results in semantic clusters
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
OLIVE: a conceptual web image search engine
Proceedings of the 15th international conference on Multimedia
Image clustering based on a shared nearest neighbors approach for tagged collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Classifying tags using open content resources
Proceedings of the Second ACM International Conference on Web Search and Data Mining
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Faceted exploration of image search results
Proceedings of the 19th international conference on World wide web
Social image tag recommendation by concept matching
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Tag-based social image retrieval: An empirical evaluation
Journal of the American Society for Information Science and Technology
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Tag-based social image search enables users to formulate queries using keywords. However, as queries are usually very short and users have very different interpretations of a particular tag in annotating and searching images, the returned images to a tag query usually contain a collection of images related to multiple concepts. We demonstrate Casis, a system for concept-aware social image search. Casis detects tag concepts based on the collective knowledge embedded in social tagging from the initial results to a query. A tag concept is a set of tags highly associated with each other and collectively conveys a semantic meaning. Images to a query are then organized by tag concepts. Casis provides intuitive and interactive browsing of search results through a tag concept graph, which visualizes the tags defining each tag concept and their relationships within and across concepts. Supporting multiple retrieval methods and multiple concept detection algorithms, Casis offers superior social image search experiences by choosing the most suitable retrieval methods and concept-aware image organizations.