Abstract
Our research addresses semantic retrieval of images from plethora of image dumps by imparting human cognition in the image retrieval process. Proposed architecture SIREA addresses the issues of keyword based image retrieval and content based image retrieval through semantics. Performance of semantic image retrieval is greatly enhanced by incorporating domain ontology that facilitates in intelligent image retrieval via semantic concepts, categories and qualitative attributes. Effectiveness of our approach is evident from retrieval accuracy and relevance of images retrieved from huge repository of natural scenes.
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.
