Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Blogging: Content to the Max
IEEE MultiMedia
Annotation-based multimedia summarization and translation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Proceedings of the 13th annual ACM international conference on Multimedia
Getting our head in the clouds: toward evaluation studies of tagclouds
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Video Scene Annotation Based on Web Social Activities
IEEE MultiMedia
Video scene retrieval using online video annotation
JSAI'07 Proceedings of the 2007 conference on New frontiers in artificial intelligence
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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In this paper, we propose a video scene annotation method based on tag clouds. First, user comments associated with a video are collected from existing video sharing services. Next, a tag cloud is generated from these user comments. The tag cloud is displayed on the video window of the Web browser. When users click on a tag included in the tag cloud while watching the video, the tag gets associated with the time point of the video. Users can share the information on the tags that have already been clicked. We confirmed that the coverage of annotations generated by this method is higher than that of the existing methods, and users are motivated to add tags by using tag-sharing and tag-cloud methods. This method assists in establishing highly accurate advanced video applications.