Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Approaches to passage retrieval in full text information systems
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Successful approaches in the TREC video retrieval evaluations
Proceedings of the 12th annual ACM international conference on Multimedia
Finding the right shots: assessing usability and performance of a digital video library interface
Proceedings of the 12th annual ACM international conference on Multimedia
Interactive search in large video collections
CHI '05 Extended Abstracts on Human Factors in Computing Systems
On the significance of cluster-temporal browsing for generic video retrieval: a statistical analysis
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Algorithmic mediation for collaborative exploratory search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Advanced Information Retrieval
Electronic Notes in Theoretical Computer Science (ENTCS)
Keyframe-less integration of semantic information in a video player interface
Proceedings of the seventh european conference on European interactive television conference
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A video database can contain a large number of videos ranging from several minutes to several hours in length. Typically, it is not sufficient to search just for relevant videos, because the task still remains to find the relevant clip, typically less than one minute of length, within the video. This makes it impor tant to direct the users attention to the most promising material and to indicate what material they already investigated. Based on this premise, we created a video search system with a powerful and flexible user interface that incorporates dynamic visualizations of the underlying multimedia objects. The system employes an automatic story segmentation, combines text and visual search, and displays search results in ranked sets of story keyframe collages. By adapting the keyframe collages based on query relevance and indicating which portions of the video have already been explored, we enable users to quickly find relevant sec tions. We tested our system as part of the NIST TRECVID interactive search evaluation, and found that our user interface enabled users to find more relevant results within the allotted time than other systems employing more sophisticated analysis techniques but less helpful user interfaces.