U2Mind: visual semantic relationships query for retrieving photos in social network

Authors:
Kee-Sung Lee;Jin-Guk Jung;Kyeong-Jin Oh;Geun-Sik Jo
Affiliations:
Department of Computer & Information Engineering, Inha University;Department of Computer & Information Engineering, Inha University;Department of Computer & Information Engineering, Inha University;Department of Computer & Information Engineering, Inha University
Venue:
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Year:
2011

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Abstract

This research is to investigate a method that enables social networks to provide a semi-automatic system. The system will allow users to organize their target photos, using the concept of ownership attributes that describe the relationships between objects in the photos. In this paper, we propose formulating a visual semantic relationships query for photo retrieval. A Visual Semantic Relationship Query interface helps users describe their perspectives about the desired photo in a semantic manner. In the ranking process, by interpreting both concepts and relationships, a user's query is transformed into a SPARQL, which is then sent to the JOSEKI server, and the returned photos are evaluated in terms of relevance to each photo. The experimental results demonstrate the effectiveness of the proposed system.