학술논문

SIREA: Image Retrieval Using Ontology of Qualitative Semantic Image Descriptions
Document Type
Conference
Source
2013 International Conference on Information Science and Applications (ICISA) Information Science and Applications (ICISA), 2013 International Conference on. :1-6 Jun, 2013
Subject
Computing and Processing
Image retrieval
Semantics
Ontologies
Computer architecture
Resource description framework
Microprocessors
Accuracy
Language
ISSN
2162-9048
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.