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Multi Class Classification Identifying Jpeg by Rodriguez Benjamin (31 results)
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods (Paperback or Softback)
Published by Biblioscholar 11/19/2012, 2012
ISBN 10: 1288311931 ISBN 13: 9781288311934
Language: English
Paperback or Softback. Condition: New. Multi-Class Classification for Identifying JPEG Steganography Embedding Methods 0.78. Book.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Published by Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025122763 ISBN 13: 9781025122762
Language: English
US$ 33.18
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Add to basketTaschenbuch. Condition: Neu. Neuware - Over 725 steganography tools are available over the Internet, each providing a method for covert transmission of secret messages. This research presents four steganalysis advancements that result in an algorithm that identifies the steganalysis tool used to embed a secret message in a JPEG image file. The algorithm includes feature generation, feature preprocessing, multi-class classification and classifier fusion. The first contribution is a new feature generation method which is based on the decomposition of discrete cosine transform (DCT) coefficients used in the JPEG image encoder. The generated features are better suited to identifying discrepancies in each area of the decomposed DCT coefficients. Second, the classification accuracy is further improved with the development of a feature ranking technique in the preprocessing stage for the kernel Fisher's discriminant (KFD) and support vector machines (SVM) classifiers in the kernel space during the training process. Third, for the KFD and SVM two-class classifiers a classification tree is designed from the kernel space to provide a multi-class classification solution for both methods. Fourth, by analyzing a set of classifiers, signature detectors, and multi-class classification methods a classifier fusion system is developed to increase the detection accuracy of identifying the embedding method used in generating the steganography images.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Published by BiblioScholar 2012-11-19, 2012
ISBN 10: 1288311931 ISBN 13: 9781288311934
Language: English
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. 194.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Published by BiblioScholar 2012-11, 2012
ISBN 10: 1288311931 ISBN 13: 9781288311934
Language: English
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 3 working days. 384.
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Add to basketPaperback. Condition: Brand New. 194 pages. 7.44x0.41x9.69 inches. In Stock.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
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Condition: New. 2012. paperback. . . . . . Books ship from the US and Ireland.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Published by Creative Media Partners, LLC Nov 2012, 2012
ISBN 10: 1288311931 ISBN 13: 9781288311934
Language: English
US$ 70.08
Convert currencyUS$ 34.83 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Neuware - Over 725 steganography tools are available over the Internet, each providing a method for covert transmission of secret messages. This research presents four steganalysis advancements that result in an algorithm that identifies the steganalysis tool used to embed a secret message in a JPEG image file. The algorithm includes feature generation, feature preprocessing, multi-class classification and classifier fusion. The first contribution is a new feature generation method which is based on the decomposition of discrete cosine transform (DCT) coefficients used in the JPEG image encoder. The generated features are better suited to identifying discrepancies in each area of the decomposed DCT coefficients. Second, the classification accuracy is further improved with the development of a feature ranking technique in the preprocessing stage for the kernel Fisher's discriminant (KFD) and support vector machines (SVM) classifiers in the kernel space during the training process. Third, for the KFD and SVM two-class classifiers a classification tree is designed from the kernel space to provide a multi-class classification solution for both methods. Fourth, by analyzing a set of classifiers, signature detectors, and multi-class classification methods a classifier fusion system is developed to increase the detection accuracy of identifying the embedding method used in generating the steganography images.
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Add to basketCondition: New. KlappentextrnrnOver 725 steganography tools are available over the Internet, each providing a method for covert transmission of secret messages. This research presents four steganalysis advancements that result in an algorithm that identifies th.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 384.
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Add to basketCondition: New. Print on Demand pp. 194.
