How reliable are the results of large-scale information retrieval experiments?
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Analysing the performance of visual, concept and text features in content-based video retrieval
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Successful approaches in the TREC video retrieval evaluations
Proceedings of the 12th annual ACM international conference on Multimedia
A synergistic approach to efficient interactive video retrieval
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Episode-constrained cross-validation in video concept retrieval
IEEE Transactions on Multimedia
Efficient targeted search using a focus and context video browser
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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In this paper, we test statistically the effect of content-based browsing in generic video retrieval. Using TRECVID 2004 and 2005 experiments, we demonstrate that content-based browsing improves retrieval over sequential queries and relevance feedback. Two user groups, novices and system developers have been used in the experiments on large and multilingual video collections. Novice users were found to achieve improvement in search effectiveness with cluster-temporal browsing by statistically significant amount. System developers did not have statistically significant difference between the different system configurations.