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Technical Program

Paper Detail

Paper:	IMDSP-P4.7
Session:	Image/Video Indexing and Retrieval
Time:	Tuesday, May 16, 16:30 - 18:30
Presentation:	Poster
Topic:	Image and Multidimensional Signal Processing: Video Indexing, Retrieval and Editing
Title:	VIDEO FINGERPRINTING BASED ON CENTROIDS OF GRADIENT ORIENTATIONS
Authors:	Sunil Lee, Chang D. Yoo, Korea Advanced Institute of Science and Technology, Republic of Korea
Abstract:	Fingerprints are feature vectors that can uniquely characterize the video signal. The goal of a video fingerprinting system is to judge whether two videos have the same contents by measuring distance between fingerprints extracted from the videos. In this paper, a novel video fingerprinting method based on the centroids of gradient orientations is proposed. The centroid of gradient orientations is chosen due to its reliability and robustness against common video processing steps. A threshold used to reliably determine a fingerprint match is theoretically derived, and its validity is experimentally verified. The experimental results show that the proposed fingerprint is not only pairwise independent but also robust against common video processing steps.