DocumentCode
2692030
Title
An image copy detection scheme based on edge features
Author
Lin, Chia-Chen ; Klara, Nahrstedt ; Hung, Chung-Juei
Author_Institution
Dept. of Comput. Sci. & Inf. Manage., Providence Univ., Taichung
fYear
2008
fDate
June 23 2008-April 26 2008
Firstpage
665
Lastpage
668
Abstract
This paper presents a novel scheme to detect copied versions of digital images based on edge features of the images. The presented scheme is the first to explore the detection of ldquomerged copies.rdquo To successfully detect merged copies and shifted copies, a center detection mechanism is embedded in our scheme and two kinds of clustering approaches are adopted. Experimental results confirm that our scheme not only withstands most modifications of an original image but also offers good detection performance when dealing with various rotations, 32- or 64-pixels shifting, up to 66% cropping, or merged copies. Therefore, our presented scheme will be very helpful in detecting copies of digital images transmitted in an Internet environment.
Keywords
edge detection; feature extraction; center detection mechanism; digital images; edge features; image copy detection scheme; merged copies; shifted copies; Computer science; Data mining; Digital images; Discrete cosine transforms; Gray-scale; Image databases; Image edge detection; Image processing; Information management; Internet; Image copy detection; edge detection; edge features; merged copies; shifting copies;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location
Hannover
Print_ISBN
978-1-4244-2570-9
Electronic_ISBN
978-1-4244-2571-6
Type
conf
DOI
10.1109/ICME.2008.4607522
Filename
4607522
Link To Document