Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Automatic glossary extraction: beyond terminology identification
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Automatic live tagging of videos using chronicles
Proceedings of the 2008 Ambi-Sys workshop on Ambient media delivery and interactive television
Enhancing TV programmes with additional contents using MPEG-7 segmentation information
Expert Systems with Applications: An International Journal
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This paper presents a multi-modal feature-based system for extracting salient keywords from transcripts of instructional videos. Specifically, we propose to extract domain-specific keywords for videos by integrating various cues from linguistic and statistical knowledge, as well as derived sound classes and characteristic visual content types. The acquisition of such salient keywords will facilitate video indexing and browsing, and significantly improve the quality of current video search engines. Experiments on four government instructional videos show that 82% of the salient keywords appear in the top 50% of the highly ranked keywords. In addition, the audiovisual cues improve precision and recall by 1.1% and 1.5% respectively.