Multi-level annotation of natural scenes using dominant image components and semantic concepts
Proceedings of the 12th annual ACM international conference on Multimedia
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
SemRetriev: an ontology driven image retrieval system
Proceedings of the 6th ACM international conference on Image and video retrieval
Designing Novel Image Search Interfaces by Understanding Unique Characteristics and Usage
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
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Automatic image annotation is a promising solution to enable keyword-based semantic image retrieval. In this demo, we present our image search engine I-Search implemented using a multi-level semantic image annotation algorithm. By incorporating a domain-specific ontology into the autogenerated annotations, we are able to organize large scale natural image databases into hierarchical structures for browsing and keyword-based searching without referring to external text information.