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
Video Skimming and Characterization through the Combination of Image and Language Understanding
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
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
High-speed topic organizer of TV shows using video dialog detection
Systems and Computers in Japan
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Pic-A-Topic: gathering information efficiently from recorded TV shows on travel
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
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Pic-A-Topic is a prototype system designed for enabling the user to view topical segments of recorded TV shows selectively. By analysing closed captions and eletronic program guide texts, it performs topic segmentation and topic sentence selection, and presents a clickable table of contents to the user. Our previous work handled TV shows on travel, and included a user study which suggested that Pic-A-Topic's average segmentation accuracy at that point was possibly indistinguishable from that of manual segmentation. This paper shows that the latest version of Pic-A-Topic is capable of effectively segmenting several TV genres related to travel, cooking, food and talk/variety shows, by means of genre-specific strategies. According to an experiment using 26.5 hours of real Japanese TV shows (25 clips) which subsumes the travel test collection we used earlier (10 clips), Pic-A-Topic's topic segmentation results for non-travel genres are as accurate as those for travel. We adopt an evaluation method that is more demanding than the one we used in our previous work, but even in terms of this strict measurement, Pic-A-Topic's accuracy is around 82% of manual performance on average. Moreover, the fusion of cue phrase detection and vocabulary shift detection is very successful for all the genres that we have targeted.