A vector space model for automatic indexing
Communications of the ACM
Digital Content Annotation and Transcoding
Digital Content Annotation and Transcoding
Annotation-based multimedia summarization and translation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Fast methods for kernel-based text analysis
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Weblog-Style Video Annotation and Syndication
AXMEDIS '05 Proceedings of the First International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution
Getting our head in the clouds: toward evaluation studies of tagclouds
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Collaborative Video Scene Annotation Based on Tag Cloud
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
NicoScene: video scene search by keywords based on social annotation
AMT'10 Proceedings of the 6th international conference on Active media technology
Scene extraction system for video clips using attached comment interval and pointing region
Multimedia Tools and Applications
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In this paper, we propose an efficient method for extracting scene tags from online video annotation (e.g., comments about video scenes). To evaluate this method by applying extracted information to video scene retrieval, we have developed a video scene retrieval system based on scene tags (i.e., tags associated with video scenes). We have also developed a tag selection system that enables online users to select appropriate scene tags from data created automatically from online video annotation. Furthermore, we performed experiments on tag selection and video scene retrieval. We found that scene tags extracted by using our tag selection system had better cost performance than ones created using a conventional client-side video annotation tool.