Abstract
Although there are several research and commercial systems in content-based multimedia indexing and retrieval, more effort should be focused on the quality of retrieval, particularly regarding how well the retrieval results correspond to what the user really wants. In this context, we present an approach that may contribute to the quality of indexing and retrieval. It supports both textual and visual indexing and retrieval that obtains results with a higher degree of quality, and it incorporates domain knowledge into the index without any special efforts on the part of the user.
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.
