TY - GEN
T1 - The correlation between semantic visual similarity and ontology-based concept similarity in effective web image search
AU - Leung, Clement H.C.
AU - Li, Yuanxi
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - This paper compares the correlations between visual similarity of real-world images and different ontology-based concept similarity in order to find a novel measurement of the relationship between semantic concepts (objects, scenes) in visual domain besides low level feature extraction. For selected concept pairs, we compute their visual similarity and co-occurrence, which is represented by our Probability-based Visual Distance Model (PVDM). Rather than high computational cost of object recognition, by employing the ontology-based concept similarity into query expansion and filtering, the semantic image search and retrieval precision will be much higher. Furthermore, the latent topic will be mapped into images so that users are possible to retrieval the images with satisfying visual characteristic of the target concept.
AB - This paper compares the correlations between visual similarity of real-world images and different ontology-based concept similarity in order to find a novel measurement of the relationship between semantic concepts (objects, scenes) in visual domain besides low level feature extraction. For selected concept pairs, we compute their visual similarity and co-occurrence, which is represented by our Probability-based Visual Distance Model (PVDM). Rather than high computational cost of object recognition, by employing the ontology-based concept similarity into query expansion and filtering, the semantic image search and retrieval precision will be much higher. Furthermore, the latent topic will be mapped into images so that users are possible to retrieval the images with satisfying visual characteristic of the target concept.
KW - image search
KW - ontology
KW - query expansion
KW - visual similarity
UR - http://www.scopus.com/inward/record.url?scp=84860636066&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29426-6_16
DO - 10.1007/978-3-642-29426-6_16
M3 - Conference proceeding
AN - SCOPUS:84860636066
SN - 9783642294259
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 125
EP - 130
BT - Web Technologies and Applications - APWeb 2012 International Workshops:SenDe, IDP, IEKB, MBC, Proceedings
T2 - SenDe, IDP, IEKB, MBC, International Workshops, APWeb 2012
Y2 - 11 April 2012 through 13 April 2012
ER -