DocumentCode
2224545
Title
Visualization approach based on multimedia clustering
Author
Zhao, Wei ; Zhang, Junsheng ; Sun, Yunchuan
Author_Institution
Network&Educ. Technol. Center, Renmin Univ. of China, Beijing
fYear
2008
fDate
July 31 2008-Aug. 1 2008
Firstpage
190
Lastpage
195
Abstract
Multimedia is one kind of the most important resources on the current Web. To search and browse the multi-media content efficiently, it is necessary to improve the multimedia retrieval and classification approaches. For a multimedia snippet, the annotated tags and introduction texts around the multimedia can reflect the content and characteristics of the multimedia. This paper proposes an efficient approach to cluster and visualize the multimedia by constructing semantic field with a set of multimedia tags. A semantic field is a circle region with several gravitation sources (tags)to locate a multimedia by calculating the positions in the field. We have developed an experiment on audio clustering for about 1000 multimedia resources including images, audios, and videos using the semantic field approach, and the result shows the approach is efficient.
Keywords
data visualisation; information retrieval; multimedia computing; pattern clustering; semantic networks; text analysis; audio clustering; classification approaches; gravitation sources; multimedia clustering; multimedia contents; multimedia retrieval; multimedia visualization; semantic fields; Clustering algorithms; Content based retrieval; Data visualization; Educational technology; Face recognition; Machine learning algorithms; Sun; Support vector machine classification; Support vector machines; Videos; clustering; multimedia; similarity; tags; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubi-Media Computing, 2008 First IEEE International Conference on
Conference_Location
Lanzhou
Print_ISBN
978-1-4244-1865-7
Electronic_ISBN
978-1-4244-1866-4
Type
conf
DOI
10.1109/UMEDIA.2008.4570888
Filename
4570888
Link To Document