Video Annotation of TV Content using Audiovisual Information

Sofia Carmen Faria Maia Cavaco; Nuno Manuel Robalo Correia

doi:10.1109/ICMCS.2012.6320188

Video Annotation of TV Content using Audiovisual Information

Sofia Carmen Faria Maia Cavaco, Nuno Manuel Robalo Correia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Content provider companies and televisions have largevideo archives but usually do not take full advantage of them. Inorder to assist the exploration of video archives, we developedViewProcFlow, a tool to automatically extract metadata fromvideo. This metadata is obtained by applying several state of theart video processing methods applied to a real world challenge:cut detection, face detection and object identification. In addition,we also developed a method to annotate videos with conceptsfrom audio and visual information. The main novelty of thistechnique is the use of environmental sound recognition toannotate video. The goal is to supply the system with moreinformation such that it has a better understanding of the contentand also to enable better browse and search functionalities. Thistool has been included in the workflow of a video productioncompany, which confirms its success.

Original language	Unknown
Title of host publication	Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Pages	113-118
DOIs	https://doi.org/10.1109/ICMCS.2012.6320188
Publication status	Published - 1 Jan 2012
Event	IEEE International Conference on Multimedia Computing and Systems - Duration: 1 Jan 2012 → …

Conference

Conference	IEEE International Conference on Multimedia Computing and Systems
Period	1/01/12 → …

Access to Document

10.1109/ICMCS.2012.6320188

Cite this

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title = "Video Annotation of TV Content using Audiovisual Information",

abstract = "Content provider companies and televisions have largevideo archives but usually do not take full advantage of them. Inorder to assist the exploration of video archives, we developedViewProcFlow, a tool to automatically extract metadata fromvideo. This metadata is obtained by applying several state of theart video processing methods applied to a real world challenge:cut detection, face detection and object identification. In addition,we also developed a method to annotate videos with conceptsfrom audio and visual information. The main novelty of thistechnique is the use of environmental sound recognition toannotate video. The goal is to supply the system with moreinformation such that it has a better understanding of the contentand also to enable better browse and search functionalities. Thistool has been included in the workflow of a video productioncompany, which confirms its success.",

author = "Cavaco, {Sofia Carmen Faria Maia} and Correia, {Nuno Manuel Robalo}",

year = "2012",

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doi = "10.1109/ICMCS.2012.6320188",

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booktitle = "Proceedings of the IEEE International Conference on Multimedia Computing and Systems",

note = "IEEE International Conference on Multimedia Computing and Systems ; Conference date: 01-01-2012",

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AU - Cavaco, Sofia Carmen Faria Maia

AU - Correia, Nuno Manuel Robalo

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N2 - Content provider companies and televisions have largevideo archives but usually do not take full advantage of them. Inorder to assist the exploration of video archives, we developedViewProcFlow, a tool to automatically extract metadata fromvideo. This metadata is obtained by applying several state of theart video processing methods applied to a real world challenge:cut detection, face detection and object identification. In addition,we also developed a method to annotate videos with conceptsfrom audio and visual information. The main novelty of thistechnique is the use of environmental sound recognition toannotate video. The goal is to supply the system with moreinformation such that it has a better understanding of the contentand also to enable better browse and search functionalities. Thistool has been included in the workflow of a video productioncompany, which confirms its success.

AB - Content provider companies and televisions have largevideo archives but usually do not take full advantage of them. Inorder to assist the exploration of video archives, we developedViewProcFlow, a tool to automatically extract metadata fromvideo. This metadata is obtained by applying several state of theart video processing methods applied to a real world challenge:cut detection, face detection and object identification. In addition,we also developed a method to annotate videos with conceptsfrom audio and visual information. The main novelty of thistechnique is the use of environmental sound recognition toannotate video. The goal is to supply the system with moreinformation such that it has a better understanding of the contentand also to enable better browse and search functionalities. Thistool has been included in the workflow of a video productioncompany, which confirms its success.

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