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
fDate :
June 23 2008-April 26 2008
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;
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
DOI :
10.1109/ICME.2008.4607522