Video Manga: generating semantically meaningful video summaries
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
TV2Web: Generating and Browsing Web with Multiple LOD from Video Streams and Their Metadata
ICKS '04 Proceedings of the International Conference on Informatics Research for Development of Knowledge Society Infrastructure
Fast methods for kernel-based text analysis
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Enhanced access to digital video through visually rich interfaces
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Social Indexing of TV Programs: Detection and Labeling of Significant TV Scenes by Twitter Analysis
WAINA '12 Proceedings of the 2012 26th International Conference on Advanced Information Networking and Applications Workshops
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Twitter is a social networking service (SNS) that is specifically used to report the user's current status and what is going on in the presence of the user. One interesting new trend on Twitter is to tweet while watching a TV program. This paper proposes a method of analyzing emotions expressed in tweets. Our method assigns the emotional polarity values to tweets based on the dependency analysis as well as morphological analysis. The results of emotional analysis are used in indexing scenes in TV program viewer, and each scene is characterized with the emotions expressed in tweets posted at that time. This viewer allows users to search a TV program by referring to other Twitter users' emotional impressions for each scene.