An algorithm for suffix stripping
Readings in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Document expansion for speech retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
TRECVID: evaluating the effectiveness of information retrieval tasks on digital video
Proceedings of the 12th annual ACM international conference on Multimedia
Story boundary detection in large broadcast news video archives: techniques, experience and trends
Proceedings of the 12th annual ACM international conference on Multimedia
Exploring temporal consistency for video analysis and retrieval
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
The challenge problem for automated detection of 101 semantic concepts in multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Language model information retrieval with document expansion
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Term selection and query operations for video retrieval
ECIR'07 Proceedings of the 29th European conference on IR research
Visual cue cluster construction via information bottleneck principle and kernel density estimation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Exploiting redundancy in cross-channel video retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
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Anecdotal evidence suggests that story-level information is important for the speech component of video retrieval. In this paper we perform a systematic examination of the combination of shot-level and story-level speech, using a document expansion approach. We isolate speech from other retrieval features, and evaluate on the 2003--2006 TRECVID test sets with a set of 94 natural language queries. Our main finding is that that the use of story information significantly improves retrieval performance compared to shotbased search, increasing overall mean average precision by over 65%