Paper Info
Title
Interactive person-retrieval in TV series and distributed surveillance video
Abstract
Tracking and identifying persons in videos are important building blocks in many applications. For browsing of multimedia data or interactive investigation of surveillance footage it is not even necessary to uniquely identify a person. Rather it often suffices to find occurrences of a person indicated by the user with an exemplary image sequence. We present two systems in which the search for a specific person can be initiated by a sample image sequence and then be further refined by interactive feedback by the operator. In the first system, episodes of TV series have been processed offline and can be searched for occurrences of the different characters. The second system tracks people online in multiple cameras and makes the sequences immediately searchable from a central station
Year
DOI
Venue
2010
10.1145/1873951.1874308
ACM Multimedia 2001
Keywords
Field
DocType
tv series,interactive person-retrieval,multimedia data,important building block,exemplary image sequence,interactive investigation,interactive feedback,surveillance video,different character,specific person,central station,sample image sequence,face recognition,face tracking
Computer vision,Facial recognition system,Computer science,Operator (computer programming),Artificial intelligence,Image sequence,Multimedia,Interactive feedback,Facial motion capture
Conference
Citations 
PageRank 
References 
3
0.47
4
Authors
5
Name
Order
Citations
PageRank
Martin Bäuml11407.85
Mika Fischer21028.38
Keni Bernardin376432.03
H. K. Ekenel4988.69
Rainer Stiefelhagen53512274.86