The LIMSI Broadcast News transcription system
Speech Communication - Special issue on automatic transcription of broadcast news data
Story boundary detection in large broadcast news video archives: techniques, experience and trends
Proceedings of the 12th annual ACM international conference on Multimedia
User evaluation of Físchlár-News: An automatic broadcast news delivery system
ACM Transactions on Information Systems (TOIS)
Proceedings of the 18th international conference on World wide web
Split and Merge Based Story Segmentation in News Videos
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
TV news story segmentation based on semantic coherence and content similarity
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Multimedia Tools and Applications
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In this paper, an error analysis based on boundary error popularity (frequency) including semantic boundary categorization is applied in the context of the news story segmentation task from TRECVID. Clusters of systems were defined based on the input resources they used including video, audio and automatic speech recognition. A cross-popularity specific index was used to measure boundary error popularity across clusters, which allowed goal-driven selection of boundaries to be categorized. A wide set of boundaries was viewed and a summary of the error types is presented. This framework allowed conclusions about the behavior of resource-based clusters in the context of news story segmentation.