Identifying important people in broadcast news videos

Hua Gao, Hazim Kemal Ekenel, Rainer Stiefelhagen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automatic face identification in multimedia archives such as broadcast news videos is useful for indexing or retrieving documents based on important persons that appear in the video. In this paper, we propose a system which automatically detects a list of important targets such as anchor speakers or active politicians in broadcast news videos. This involves several steps including detecting faces in various conditions, associating faces to tracks and identifying whether a face track contains certain faces defined in a watch list. We evaluated this system on a database, which contains about 36 hours of broadcast news videos. Experiments show that our system achieves a very high precision with a reasonable recall rate.

Original languageEnglish (US)
Title of host publicationProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
Pages414-417
Number of pages4
StatePublished - 2011
Event12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan
Duration: Jun 13 2011Jun 15 2011

Publication series

NameProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

Conference

Conference12th IAPR Conference on Machine Vision Applications, MVA 2011
Country/TerritoryJapan
CityNara
Period6/13/116/15/11

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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