NDLI: Evaluating keypoint methods for content-based copyright protection of digital images

Content Provider	IEEE Xplore Digital Library
Author	Huston, L. Sukthankar, R. Ke, Y.
Copyright Year	2005
Description	Author affiliation: Intel Res., Pittsburg, PA, USA (Huston, L.; Sukthankar, R.)
Abstract	This paper evaluates the effectiveness of keypoint methods for content-based protection of digital images. These methods identify a set of "distinctive" regions (termed keypoints) in an image and encode them using descriptors that are robust to expected image transformations. To determine whether particular images were derived from a protected image, the keypoints for both images are generated and their descriptors matched. We describe a comprehensive set of experiments to examine how keypoint methods cope with three real-world challenges: (1) loss of keypoints due to cropping; (2) matching failures caused by approximate nearest-neighbor indexing schemes; (3) degraded descriptors due to significant image distortions. While keypoint methods perform very well in general, this paper identifies cases where the accuracy of such methods degrades.
File Size	268931
File Format	PDF
ISBN	0780393317
DOI	10.1109/ICME.2005.1521614
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-06
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Copyright protection Digital images Watermarking Statistics Robustness Image databases Image retrieval Degradation Image storage Content based retrieval
Content Type	Text
Resource Type	Article

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