Content-Based Video Indexing and Retrieval
IEEE MultiMedia
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
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Exploring temporal consistency for video analysis and retrieval
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Evaluation campaigns and TRECVid
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
The influence of cross-validation on video classification performance
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
The value of stories for speech-based video search
Proceedings of the 6th ACM international conference on Image and video retrieval
Adding Semantics to Detectors for Video Retrieval
IEEE Transactions on Multimedia
Balancing thread based navigation for targeted video search
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Foundations and Trends in Information Retrieval
Episode-constrained cross-validation in video concept retrieval
IEEE Transactions on Multimedia
Today's and tomorrow's retrieval practice in the audiovisual archive
Proceedings of the ACM International Conference on Image and Video Retrieval
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Video producers, in telling a news story, tend to repeat important visual and speech material multiple times in adjacent shots, thus creating a certain level of redundancy. We describe this phenomenon, and use it to develop a framework to incorporate redundancy for cross-channel retrieval of visual items using speech. Testing our models in a series of retrieval experiments, we find that incorporating the fact that information occurs redundantly into cross-channel retrieval leads to significant improvements in retrieval performance.