Context-based Image Retrieval on the Web
Summary - Objectives - Partner
- Contact - Relevant links
Summary :
COBWEB (Context-based Image Retrieval on the Web) is a research and development project co-financed by the ESPRIT Programme of the EU.
COBWEB aims to provide an innovative solution to the problem of cost-effectively filing and retrieving huge numbers of still images and of allowing remote access to image databases via the Internet.
Building upon an object-oriented repository of images, COBWEB will offer advanced features for:
- Image analysis
- Conceptual clustering
- Human computer interfaces
- Image retrieval
- Support for remote searches via the Internet
Expected beneficiaries of the COBWEB solution are European traditional
publishers, multimedia publishers and image trading agencies.
Market research indicates that the European market in these fields is dominated by SME and small enterprises, both of which stand to benefit from the COBWEB solution. COBWEB will enable SMEs to cost-effectively create and manage their own image databases. Small enterprises, which cannot afford the initial and on-going investment associated with creating their own images databases, will be able to link with others into networks, which will allow for significant economies of scale from sharing images.
The project consortium is made up of supplier partners with extensive technological know-how and vast experience in implementing sophisticated IT projects, and user partners who will represent the needs of image handlers, thereby ensuring the development of real solution, tailor-made to keep the European publishing market at the forefront of technological progress.
Objectives :
The user domain considered in COBWEB is the electronic publishing and the image trading and, within this domain, COBWEB intends to provide an innovative solution to the problem of cost-effectively filing and retrieving huge amounts of still images and of allowing remote access to the image database through Internet.
Partner :
Contact :
Relevant Links :
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