Abstract
A text-based image retrieval system based on a brain function model, called the combination confabulation model, was developed to recognize how contextual word meanings change depending on the situation to overcome semantic gaps. In addition, a recurrent version of this system was developed to improve retrieval accuracy. The system uses a casebase that contains matched pairs of descriptions and images and searches for images that match the input queries. Experimental results showed that the proposed system exhibited more accurate image retrieval performances than conventional systems. © 2013 Wiley Periodicals, Inc.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
