Paper Info
Title
User verification: Matching the uploaders of videos across accounts
Abstract
This article presents an attempt to link the uploaders of videos based on the audio track of the videos. Using a subset of the MediaEval Placing Task's Flickr video set, which is labeled with the uploader's name, we conducted an experiment with a similar setup as a typical NIST speaker recognition evaluation run. Based on the assumption that the audio might be matched in various ways (speaker, channel, environmental noise, etc.), we trained one of ICSI's simplified speaker recognition systems on the audio tracks of the Flickr videos. Note that since the selection of videos is essentially random, the audio track can contain any sounds. We obtain an equal error rate of 36.7% on 312 videos with 11,550 trials. The result has implications for audio research, security applications, and raises privacy concerns.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5946968
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
data privacy,image matching,social networking (online),speaker recognition,video signal processing,MediaEval Placing Task Flickr video set,NIST speaker recognition evaluation,audio tracks,data privacy,user verification,video matching,User verification,privacy,security
User verification,Computer science,Image matching,Word error rate,Communication channel,Speech recognition,Speaker recognition,NIST,Information privacy,Environmental noise
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4577-0537-3
978-1-4577-0537-3
3
PageRank 
References 
Authors
0.55
8
4
Name
Order
Citations
PageRank
Howard Lei11126.90
Jae-Young Choi2783110.19
Adam Janin325034.11
Gerald Friedland4112796.23