Video parsing, retrieval and browsing: an integrated and content-based solution
Proceedings of the third ACM international conference on Multimedia
A shot classification method of selecting effective key-frames for video browsing
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Topic labeling of broadcast news stories in the informedia digital video library
Proceedings of the third ACM conference on Digital libraries
Machine learning of event segmentation for news on demand
Communications of the ACM
Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Story Segmentation and Detection of Commercials in Broadcast News Video
ADL '98 Proceedings of the Advances in Digital Libraries Conference
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
The TIPSTER SUMMAC Text Summarization Evaluation
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Story boundary detection in large broadcast news video archives: techniques, experience and trends
Proceedings of the 12th annual ACM international conference on Multimedia
Webified video: media conversion from TV program to web content and their integrated viewing method
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
ANSES: summarisation of news video
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Pic-A-Topic: efficient viewing of informative TV contents on travel, cooking, food and more
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
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We introduce a system called Pic-A-Topic, which analyses closed captions of Japanese TV shows on travel to perform topic segmentation and topic sentence selection. Our objective is to provide a table-of-contents interface that enables efficient viewing of desired topical segments within recorded TV shows to users of appliances such as hard disk recorders and digital TVs. According to our experiments using 14.5 hours of recorded travel TV shows, Pic-A-Topic’s F1-measure for the topic segmentation task is 82% of manual performance on average. Moreover, a preliminary user evaluation experiment suggests that this level of performance may be indistinguishable from manual performance.