KES2009 CBIR
KES 2009Special Session on Knowledge Engineering for Content Based Image Retrieval
Chairs
- José Orlando Maldonado
- Manuel Graña
Computational Intelligence Group, UPV/EHU
Contact email
Description
Content-based image retrieval (CBIR) is a collection of techniques that allow organize large image collections by their visual content. This field has gained increasing importance due to growing development and availability of devices for recording and storing digital images, which has generated the need for efficient management of large volumes of images. In the development of CBIR systems are involved aspects related to human-computer interaction, image processing, machine learning, storing and indexing of data, as well as psychological aspects related to the perception and interests of users. The special session aims to provide a forum for discussion and dissemination of innovative proposals in each of these topics, pointing to the improvement of this technology.
Important dates
- Submission of papers: 1 March 2009
- Notification of acceptance: 1 April 2009
- Final paper to be received by: 1 May 2009
Topics of interest
- Image processing
- Machine learning
- Image retrieval
- Human-Computer interaction
- Indexing and storage of images
- Relevance feedback
- Architecture modelling
- Similarity measure
- Web image search
- Real-world applications
- Systems evaluation
Program committee
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