17 December 1998 DrawSearch: a tool for interactive content-based image retrieval over the Internet
Author Affiliations +
Content-based image retrieval has recently become one of the most active research areas, due to the massive increase in the amount and complexity of digitized data being stored, transmitted, and accessed. We present here a prototype implementation of DRAWSEARCH, an image retrieval by content system, which uses color and shape (and texture in the near future) features to index and retrieve images. The system, currently being tested and improved, is designed to increase interactivity with users posing queries over the Internet and avails of a Java client for query by sketch. It also implements relevance feedback to allow users to dynamically refine queries. Experiments show that the proposed approach can greatly reduce the user's effort to compose a query, while capturing the needed information with greater precision.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eugenio Di Sciascio, M. Mongiello, "DrawSearch: a tool for interactive content-based image retrieval over the Internet", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333876; https://doi.org/10.1117/12.333876


Image retrieval based on the directional edge similarity
Proceedings of SPIE (August 24 1999)
Mapping low-level image features to semantic concepts
Proceedings of SPIE (January 01 2001)
Distributed adaptive attribute-based image retrieval
Proceedings of SPIE (November 21 1995)
World Wide Web based image search engine using text and...
Proceedings of SPIE (January 10 2003)
WISE: a content-based Web image search engine
Proceedings of SPIE (December 22 2000)
Concept-based retrieval of biomedical images
Proceedings of SPIE (May 19 2003)

Back to Top