TY - GEN
T1 - Identifying important people in broadcast news videos
AU - Gao, Hua
AU - Ekenel, Hazim Kemal
AU - Stiefelhagen, Rainer
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84872564780&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84872564780
SN - 9784901122115
T3 - Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
SP - 414
EP - 417
BT - Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
T2 - 12th IAPR Conference on Machine Vision Applications, MVA 2011
Y2 - 13 June 2011 through 15 June 2011
ER -