Visual hashing of digital video: applications and techniques

Job C. Oostveen; Ton Kalker; Jaap Haitsma

doi:10.1117/12.449746

7 December 2001 Visual hashing of digital video: applications and techniques

Job C. Oostveen, Ton Kalker, Jaap Haitsma

Proceedings Volume 4472, Applications of Digital Image Processing XXIV; (2001) https://doi.org/10.1117/12.449746
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

Citation Download Citation

Job C. Oostveen, Ton Kalker, and Jaap Haitsma "Visual hashing of digital video: applications and techniques", Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); https://doi.org/10.1117/12.449746

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