Context-based image semantic similarity

doi:10.1109/FSKD.2015.7382127

科研成果详情

题名	Context-based image semantic similarity
作者	Franzoni，Valentina 1; Milani，Alfredo 2; Pallottelli，Simonetta 2; Leung，Clement H.C.3; Li，Yuanxi 4
发表日期	2016-01-13
会议录名称	2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
页码	1280-1284
摘要	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.
关键词	collective knowledge Context-based data mining image retrieval knowleadge discovery semantic
DOI	10.1109/FSKD.2015.7382127
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84966651018
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6417
专题	北师香港浸会大学
作者单位	1.Department of Computer,Control and Management,University of Rome la Sapienza,Rome,Italy 2.Department of Mathematics and Computer Science,University of Perugia,Perugia,Italy 3.United International College,Zhuhai,China 4.Department of Computer Science,Hong Kong Baptist University,Hong Kong
推荐引用方式 GB/T 7714	Franzoni，Valentina,Milani，Alfredo,Pallottelli，Simonettaet al. Context-based image semantic similarity[C], 2016: 1280-1284.