Takako Hashimoto

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Sports videos for mobile terminals and PCs and other multimedia information services have recently spread. The ability to efficiently extract significant scenes is important with these services. We proposed the personal digest making scheme (PDMS), which calculates the significance of events in a sports game based on video meta data and extracts significant(More)
In this paper, we design a new method to explore the social context as a community mapping from a buzz marketing site. In this method, after extracting significant topical terms from messages in buzz marketing sites, first we construct a snapshot co-occurrence network at each time stamp. Next, we organize topic hierarchical structures from each(More)
The spread of video sharing services has made available an enormous number of videos. Even when searching video sharing services, too many videos are returned to view. Viewers want to classify videos to easily grasp results, because videos may include varied topics or differing viewpoints. Video clustering is one solution to addressing this problem with(More)