Video Encoding Authentication Using by Durgule Pritam (9 results)

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Paperback. Condition: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.

Taschenbuch. Condition: Neu. Video encoding with authentication using Multiwavelet Transform | Pritam Durgule (u. a.) | Taschenbuch | 92 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330073432 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Video watermarking is the practice of inserting an encode information known as the watermark, into an original video in an imperceptible manner. The watermark encodes or represents information that can protect the watermarked video, typically identifying the owner (source) or the intended recipient (destination) of the video. The embedded watermark may be detected by using a watermark detector, which enables an application to react to the presence (or absence) of the watermark in a video. However, the watermarked video may be processed, or attacked, prior to watermark detection. Attacks may remove the embedded watermark or make the watermark more difficult to detect.Most watermark detectors will fail to detect the watermark embedded in the attacked video unless the position of the watermark can be identified. In order to overcome this limitation, a new multiwavelet based video watermarking has been proposed. Embedding and detection models are proposed that encompass the behavior of many video watermarking techniques. The multiwavelet transform uses two transformations such as Haar transform and Doubchies transform. 92 pp. Englisch.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Durgule PritamPritam Durgule completed M.E.(Electronics) from Shivaji University, Kolhapur.Suraj Shete completed M.E.(Electronics) from Shivaji University, Kolhapur & working as Asst. Prof. in FAMT, Ratnagiri.Jayant Mane pursuing Ph.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Video watermarking is the practice of inserting an encode information known as the watermark, into an original video in an imperceptible manner. The watermark encodes or represents information that can protect the watermarked video, typically identifying the owner (source) or the intended recipient (destination) of the video. The embedded watermark may be detected by using a watermark detector, which enables an application to react to the presence (or absence) of the watermark in a video. However, the watermarked video may be processed, or attacked, prior to watermark detection. Attacks may remove the embedded watermark or make the watermark more difficult to detect.Most watermark detectors will fail to detect the watermark embedded in the attacked video unless the position of the watermark can be identified. In order to overcome this limitation, a new multiwavelet based video watermarking has been proposed. Embedding and detection models are proposed that encompass the behavior of many video watermarking techniques. The multiwavelet transform uses two transformations such as Haar transform and Doubchies transform.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Video watermarking is the practice of inserting an encode information known as the watermark, into an original video in an imperceptible manner. The watermark encodes or represents information that can protect the watermarked video, typically identifying the owner (source) or the intended recipient (destination) of the video. The embedded watermark may be detected by using a watermark detector, which enables an application to react to the presence (or absence) of the watermark in a video. However, the watermarked video may be processed, or attacked, prior to watermark detection. Attacks may remove the embedded watermark or make the watermark more difficult to detect.Most watermark detectors will fail to detect the watermark embedded in the attacked video unless the position of the watermark can be identified. In order to overcome this limitation, a new multiwavelet based video watermarking has been proposed. Embedding and detection models are proposed that encompass the behavior of many video watermarking techniques. The multiwavelet transform uses two transformations such as Haar transform and Doubchies transform.