Paper Info
Title
Content Based Copy Detection with Coarse Audio-Visual Fingerprints
Abstract
Content Based Copy Detection (CBCD) emerges as a viable choice against active detection methodology of watermarking. The very first reason is that the media already under circulation cannot be marked and secondly, CBCD inherently can endure various severe attacks, which watermarking cannot. Although in general, media content is handled independently as visual and audio in this work both information sources are utilized in a unified framework, in which coarse representation of fundamental features are employed. From the copy detection perspective, number of attacks on audio content is limited with respect to visual case. Therefore audio, if present, is an indispensable part of a robust video copy detection system. In this study, the validity of this statement is presented through various experiments on a large data set.
Year
DOI
Venue
2009
10.1109/CBMI.2009.12
CBMI
Keywords
Field
DocType
copy detection perspective,visual case,various severe attack,various experiment,active detection methodology,coarse audio-visual fingerprints,robust video copy detection,audio content,coarse representation,media content,copy detection,color,robustness,feature extraction,fingerprint recognition,fingerprint identification,data mining,video compression,visualization,bandwidth,indexing,watermarking,space technology,bit error rate,brightness,databases
Computer vision,Object detection,Digital watermarking,Pattern recognition,Fingerprint recognition,Visualization,Computer science,Feature extraction,Fingerprint,Video copy detection,Artificial intelligence,Content based copy detection
Conference
ISSN
Citations 
PageRank 
1949-3983
21
1.12
References 
Authors
7
9
Name
Order
Citations
PageRank
Ahmet Saracoglu1323.91
Ersin Esen29214.15
Tugrul K. Ates3353.70
Banu Oskay Acar4273.01
Unal Zubari5251.94
Ezgi C. Ozan6282.74
Egemen Ozalp7211.12
A. Aydin Alatan865585.78
Tolga Ciloglu9342.87