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Proceedings Paper

Visual hashing of digital video: applications and techniques
Author(s): Job C. Oostveen; Ton Kalker; Jaap Haitsma
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Paper Abstract

This paper present the concept of robust video hashing as a tool for video identification. We present considerations and a technique for (i) extracting essential perceptual features from a moving image sequences and (ii) for identifying any sufficiently long unknown video segment by efficiently matching the hash value of the short segment with a large database of pre-computed hash values.

Paper Details

Date Published: 7 December 2001
PDF: 11 pages
Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); doi: 10.1117/12.449746
Show Author Affiliations
Job C. Oostveen, Philips Research (Netherlands)
Ton Kalker, Philips Research (Netherlands)
Jaap Haitsma, Philips Research (Netherlands)


Published in SPIE Proceedings Vol. 4472:
Applications of Digital Image Processing XXIV
Andrew G. Tescher, Editor(s)

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