Video Fingerprinting Algorithm - Tapa blanda

Zhou, Xuebing

 
9783639065701: Video Fingerprinting Algorithm
Tapa blanda
ISBN 10: 3639065700 ISBN 13: 9783639065701
Editorial: VDM Verlag Dr. Mueller e.K., 2008

Sinopsis

Increasing amounts and various formats of multimedia data require technologies to automatically identify its content. Cryptographic hash functions can not be used for multimedia content identification or verification as they are sensitive to common video processing operations e.g. compression, colour adjustment etc. In this case, fingerprinting, also called perceptual hash functions, that consider perceptual similarity are applicable. Fingerprinting converts large data to a short digest, which is used to identify original data. This book describes some of the different existing approaches for video data. One reference implementation based on Philips’ algorithm is investigated. The fingerprints are extracted from the spatio- temporal differencing of mean luminance. It is shown how this method can be improved by using a simple similarity measure. The performance of the algorithms are analysed. The algorithm using similarity shows increased reliability of video identification both in robustness and discriminating capabilities.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

Increasing amounts and various formats of multimedia data require technologies to automatically identify its content. Cryptographic hash functions can not be used for multimedia content identification or verification as they are sensitive to common video processing operations e.g. compression, colour adjustment etc. In this case, fingerprinting, also called perceptual hash functions, that consider perceptual similarity are applicable. Fingerprinting converts large data to a short digest, which is used to identify original data. This book describes some of the different existing approaches for video data. One reference implementation based on Philips' algorithm is investigated. The fingerprints are extracted from the spatio- temporal differencing of mean luminance. It is shown how this method can be improved by using a simple similarity measure. The performance of the algorithms are analysed. The algorithm using similarity shows increased reliability of video identification both in robustness and discriminating capabilities.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
VDM Verlag Dr. Mueller e.K.
Año de publicación
2008
Idioma
Inglés
ISBN 10 
3639065700
ISBN 13 
9783639065701
Encuadernación
Tapa blanda
Número de páginas
88
Contacto del fabricante
no disponible
Persona responsable
no disponible