On automatic annotation of meeting databases

Daniel Gatica-Perez; Iain McCowan; Mark Barnard; Samy Bengio; Herve Bourlard

doi:10.1109/ICIP.2003.1247323

On automatic annotation of meeting databases

Daniel Gatica-Perez
, Iain McCowan
, Mark Barnard
, Samy Bengio
, Herve Bourlard

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper, we discuss meetings as an application domain for multimedia content analysis. Meeting databases are a rich data source suitable for a variety of audio, visual and multi-modal tasks, including speech recognition, people and action recognition, and information retrieval. We specifically focus on the task of semantic annotation of audio-visual (AV) events, where annotation consists of assigning labels (event names) to the data. In order to develop an automatic annotation system in a principled manner, it is essential to have a well-defined task, a standard corpus and an objective performance measure. In this work we address each of these issues to automatically annotate events based on participant interactions.

Original language	English
DOIs	https://doi.org/10.1109/ICIP.2003.1247323
Publication status	Published - 14 Sept 2003
Event	IEEE International Conference on Image Processing - Barcelona, Spain Duration: 14 Sept 2003 → 17 Sept 2003

Conference

Conference	IEEE International Conference on Image Processing
Period	14/09/03 → 17/09/03

Bibliographical note

Note: Published in: Proceedings 2003 International Conference on Image Processing. Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. Volume III, pp.629-632. ISSN 1522-4880 ISBN 0780377508

Organising Body: Institute of Electrical and Electronics Engineers

Keywords

Computer science and informatics

Access to Document

10.1109/ICIP.2003.1247323

https://doi.org/10.1109/ICIP.2003.1247323

On automatic annotation of meeting databases
Gatica-Perez, D., McCowan, I., Barnard, M., Bengio, S. & Bourlard, H., 14 Sept 2003, Published in: Proceedings 2003 International Conference on Image Processing. Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. Volume III, pp.629-632. ISSN 1522-4880 ISBN 0780377508 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. p. 629 - 632
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

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title = "On automatic annotation of meeting databases",

abstract = "In this paper, we discuss meetings as an application domain for multimedia content analysis. Meeting databases are a rich data source suitable for a variety of audio, visual and multi-modal tasks, including speech recognition, people and action recognition, and information retrieval. We specifically focus on the task of semantic annotation of audio-visual (AV) events, where annotation consists of assigning labels (event names) to the data. In order to develop an automatic annotation system in a principled manner, it is essential to have a well-defined task, a standard corpus and an objective performance measure. In this work we address each of these issues to automatically annotate events based on participant interactions.",

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author = "Daniel Gatica-Perez and Iain McCowan and Mark Barnard and Samy Bengio and Herve Bourlard",

note = "Note: Published in: Proceedings 2003 International Conference on Image Processing. Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. Volume III, pp.629-632. ISSN 1522-4880 ISBN 0780377508 Organising Body: Institute of Electrical and Electronics Engineers; IEEE International Conference on Image Processing ; Conference date: 14-09-2003 Through 17-09-2003",

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AU - Bengio, Samy

AU - Bourlard, Herve

N1 - Note: Published in: Proceedings 2003 International Conference on Image Processing. Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. Volume III, pp.629-632. ISSN 1522-4880 ISBN 0780377508 Organising Body: Institute of Electrical and Electronics Engineers

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N2 - In this paper, we discuss meetings as an application domain for multimedia content analysis. Meeting databases are a rich data source suitable for a variety of audio, visual and multi-modal tasks, including speech recognition, people and action recognition, and information retrieval. We specifically focus on the task of semantic annotation of audio-visual (AV) events, where annotation consists of assigning labels (event names) to the data. In order to develop an automatic annotation system in a principled manner, it is essential to have a well-defined task, a standard corpus and an objective performance measure. In this work we address each of these issues to automatically annotate events based on participant interactions.

AB - In this paper, we discuss meetings as an application domain for multimedia content analysis. Meeting databases are a rich data source suitable for a variety of audio, visual and multi-modal tasks, including speech recognition, people and action recognition, and information retrieval. We specifically focus on the task of semantic annotation of audio-visual (AV) events, where annotation consists of assigning labels (event names) to the data. In order to develop an automatic annotation system in a principled manner, it is essential to have a well-defined task, a standard corpus and an objective performance measure. In this work we address each of these issues to automatically annotate events based on participant interactions.

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M3 - Paper

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ER -

On automatic annotation of meeting databases

Abstract

Conference

Bibliographical note

Keywords

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Research output

On automatic annotation of meeting databases

Cite this