Paper Info
Title
Fast matching for video/audio fingerprinting algorithms
Abstract
For video and audio copy detection systems, a new windowing scheme and a fast matching algorithm are proposed. The scheme is applicable to all fingerprinting algorithms that are based on temporal windowing of video or audio assets. The proposed method requires a window overlapping strategy for the query different from that of the database. The proposed scheme, enables a state machine-based algorithm for matching the query fingerprints to the corresponding fingerprints of the original video or audio in the database. The proposed novel matching algorithm, decreases the retrieval time by 1 to about 3 orders of magnitude. It also increases the accuracy of localizing parts of the asset that have been copied.
Year
DOI
Venue
2011
10.1109/WIFS.2011.6123134
Information Forensics and Security
Keywords
Field
DocType
state machine-based algorithm,new windowing scheme,audio copy detection system,audio asset,proposed novel,audio fingerprinting algorithm,fingerprinting algorithm,proposed scheme,original video,fast matching algorithm,state machine
Computer vision,Video processing,Copy detection,Image matching,Computer science,Algorithm,Finite-state machine,Theoretical computer science,Artificial intelligence,Blossom algorithm
Conference
ISBN
Citations 
PageRank 
978-1-4577-1018-6
2
0.43
References 
Authors
6
3
Name
Order
Citations
PageRank
Mani Malekesmaeili1513.37
Rabab K Ward21440135.88
Mehrdad Fatourechi316911.96