TY - GEN
T1 - Context-based image semantic similarity
AU - Franzoni, Valentina
AU - Milani, Alfredo
AU - Pallottelli, Simonetta
AU - Leung, Clement H.C.
AU - Li, Yuanxi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/15
Y1 - 2015/8/15
N2 - In this work we propose Context-based Image Similarity, a scheme for discovering and evaluating image similarity in terms of the associated groups of concepts. Several semantic proximity/similarity among image concepts and different concept ontology - WordNet Distance, Wikipedia Distance, Flickr Distance, Confidence, Normalized Google Distance (NGD), Pointwise Mutual Information (PMI) and PMING, have been considered as elementary metrics for the context. Comparing to Content Based Image Retrieval (CBIR), which measures the image content similarities by low level features, the proposed Context-based Image Similarity outperformed CBIR in measuring the deep concept similarity and relationship of images. Experimental results, obtained in the domain of images semantic similarity using search engine based tag similarity, show the adequacy of the proposed approach in order to reflect the collective notion of semantic similarity.
AB - In this work we propose Context-based Image Similarity, a scheme for discovering and evaluating image similarity in terms of the associated groups of concepts. Several semantic proximity/similarity among image concepts and different concept ontology - WordNet Distance, Wikipedia Distance, Flickr Distance, Confidence, Normalized Google Distance (NGD), Pointwise Mutual Information (PMI) and PMING, have been considered as elementary metrics for the context. Comparing to Content Based Image Retrieval (CBIR), which measures the image content similarities by low level features, the proposed Context-based Image Similarity outperformed CBIR in measuring the deep concept similarity and relationship of images. Experimental results, obtained in the domain of images semantic similarity using search engine based tag similarity, show the adequacy of the proposed approach in order to reflect the collective notion of semantic similarity.
KW - collective knowledge
KW - Context-based
KW - data mining
KW - image retrieval
KW - knowleadge discovery
KW - semantic
UR - http://www.scopus.com/inward/record.url?scp=84966651018&partnerID=8YFLogxK
U2 - 10.1109/FSKD.2015.7382127
DO - 10.1109/FSKD.2015.7382127
M3 - Conference proceeding
AN - SCOPUS:84966651018
T3 - International Conference on Fuzzy Systems and Knowledge Discovery, FSKD
SP - 1280
EP - 1284
BT - 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
A2 - Tang, Zhuo
A2 - Du, Jiayi
A2 - Yin, Shu
A2 - Li, Renfa
A2 - He, Ligang
PB - IEEE
T2 - 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Y2 - 15 August 2015 through 17 August 2015
ER -
