DocumentCode :
3268803
Title :
Measuring semantic similarity between concepts in visual domain
Author :
Wang, Zhiyong ; Guan, Genliang ; Wang, Jiajun ; Feng, Dagan
Author_Institution :
Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW
fYear :
2008
fDate :
8-10 Oct. 2008
Firstpage :
628
Lastpage :
633
Abstract :
Concept similarity has been intensively researched in the natural language processing domain due to its important role in many applications such as language modeling and information retrieval. There are few studies on measuring concept similarity in visual domain, though concept based multimedia information retrieval has attracted a lot of attentions. In this paper, we present a scalable framework for such a purpose, which is different from traditional approaches to exploring correlation among concepts in image/video annotation domain. For each concept, a model based on feature distribution is built using sample images collected from the Internet. And similarity between concepts is measured with the similarity between their models. Hereby, a Gaussian mixture model (GMM) is employed to model each concept and two similarity measurements are investigated. Experimental results on 13,974 images of 16 concepts collected through image search engines have demonstrated that the similarity between concepts is very close to human perception. In addition, the entropy of GMM cluster distributions can be a good indication of selecting concepts for image/video annotation.
Keywords :
Gaussian processes; content-based retrieval; multimedia systems; search engines; semantic Web; video retrieval; GMM cluster distributions; Gaussian mixture model; Internet; concept similarity; image search engines; image-video annotation domain; language modeling; multimedia information retrieval; natural language processing; semantic similarity; Computational complexity; Content based retrieval; Entropy; Humans; Image segmentation; Information retrieval; Information technology; Internet; Natural language processing; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2008 IEEE 10th Workshop on
Conference_Location :
Cairns, Qld
Print_ISBN :
978-1-4244-2294-4
Electronic_ISBN :
978-1-4244-2295-1
Type :
conf
DOI :
10.1109/MMSP.2008.4665152
Filename :
4665152
Link To Document :
بازگشت