Xuebing Zhou Video Fingerprinting Algorithm

ISBN 13: 9783639065701

Video Fingerprinting Algorithm

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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.

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Xuebing Zhou studierte von 1999 bis 2005 Elektrotechnik an der Technischen Universit┐t Darmstadt. Seit 2005 ist sie wissenschaftliche Mitarbeiterin am Fraunhofer-Institut f┐r Graphische Datenverarbeitung IGD in Darmstadt. Ihre Forschungsinteressen liegen auf den Gebieten Biometrie und wahrnehmungbasierte Hashfunktion.

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Zhou, Xuebing
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Book Description Condition: New. Publisher/Verlag: VDM Verlag Dr. Müller | An Efficient Method to Identify and Authenticate Video Data | 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. | Format: Paperback | Language/Sprache: english | 130 gr | 88 pp. Seller Inventory # K9783639065701

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Book Description VDM Verlag Dr. Mueller e.K., Germany, 2008. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.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. Seller Inventory # AAV9783639065701

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Book Description VDM Verlag Jul 2008, 2008. Taschenbuch. Condition: Neu. Neuware - 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. 88 pp. Englisch. Seller Inventory # 9783639065701

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Book Description VDM Verlag Jul 2008, 2008. Taschenbuch. Condition: Neu. Neuware - 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. 88 pp. Englisch. Seller Inventory # 9783639065701

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Book Description VDM Verlag. Paperback. Condition: New. 88 pages. Dimensions: 8.9in. x 5.9in. x 0.3in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9783639065701

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