Translator Disclaimer
13 March 1996 EXQUISI: an expressive query interface for similar images
Author Affiliations +
Proceedings Volume 2670, Storage and Retrieval for Still Image and Video Databases IV; (1996) https://doi.org/10.1117/12.234798
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
With the advances in digital imaging and storage technologies, image is becoming a common type of data in many applications. This creates a demand to manage these database of images. One of the issues is in providing a query interface to allow an effective and efficient retrieval. Our study in this issue has led to the development of a query interface system which we call Exquisi. The main contribution of Exquisi is an expressive query language and interface that allow effective querying from a database of similar images. In particular, it provides querying tools for a user to express subtle differences that may exist between images to be retrieved and other images that are similar. The query interface also allows the user to incorporate ambiguities and imprecisions in specifying his/her query. Another important aspect of Exquisi is the provision of a reformulation language by which the user can incorporate a more specific aspect of the query results for the refinement of the query. One key part of this paper is the description of the input and reformulation features that are supported by Exquisi and a discussion on the relationship between the reformulation and the input modules.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dwifiandika S. Faulus and Raymond T. Ng "EXQUISI: an expressive query interface for similar images", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); https://doi.org/10.1117/12.234798
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Image retrieval with multiresolution color space quantization
Proceedings of SPIE (September 30 1996)
Human-centered content-based image retrieval
Proceedings of SPIE (February 14 2008)
Image database navigation
Proceedings of SPIE (January 10 2003)

Back to Top