Share Email Print
cover

Proceedings Paper

Signature-based image identification
Author(s): Mohamed Abdel-Mottaleb; Gandhimathi Vaithilingam; Santhana Krishnamachari
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The use of digital images and video is growing on the Internet and on consumer devices. Digital images and video are easy to manipulate, but this ease of manipulation makes tampering with digital content possible. Examples of the misuse of digital content include violating copyrights of the content and tampering with important material such as contents of video surveillance. In this paper we present an algorithm that extracts a binary signature from an image. This approach can be used to search for possible copyright violations by finding images with signatures close to that of a given image. The experimental results show that the algorithm can be very effective in helping users to retrieve sets of almost identical images from large collections of images. The signature can also be used for tamper detection. We will show that the signatures we extract are immune to quantization errors that result from compression and decompression.

Paper Details

Date Published: 22 November 1999
PDF: 7 pages
Proc. SPIE 3845, Multimedia Systems and Applications II, (22 November 1999); doi: 10.1117/12.371217
Show Author Affiliations
Mohamed Abdel-Mottaleb, Philips Research (United States)
Gandhimathi Vaithilingam, Philips Research (United States)
Santhana Krishnamachari, Philips Research (United States)


Published in SPIE Proceedings Vol. 3845:
Multimedia Systems and Applications II
Andrew G. Tescher; Bhaskaran Vasudev; V. Michael Bove; Barbara Derryberry, Editor(s)

© SPIE. Terms of Use
Back to Top