Visualization approach based on multimedia clustering
Wei Zhao, Junsheng Zhang, Yunchuan Sun · 2008
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.