Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330034742 ISBN 13: 9783330034747
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3330040688 ISBN 13: 9783330040687
Da: Revaluation Books, Exeter, Regno Unito
EUR 94,22
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032820 ISBN 13: 9783330032828
Da: Revaluation Books, Exeter, Regno Unito
EUR 100,61
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 01 edition. 108 pages. 8.66x5.91x0.25 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032820 ISBN 13: 9783330032828
Da: preigu, Osnabrück, Germania
EUR 44,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Rough Sets for Satellite Image Classification | Landuse/Landcover Analysis of Alwar (Rajasthan) | Sonika Jindal | Taschenbuch | 108 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330032828 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3330040688 ISBN 13: 9783330040687
Da: preigu, Osnabrück, Germania
EUR 47,85
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Digital Watermark for Videos | Sonika Jindal (u. a.) | Taschenbuch | 92 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783330040687 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Spagnolo
Editore: Ediciones Nuestro Conocimiento, 2022
ISBN 10: 6205117622 ISBN 13: 9786205117620
Da: moluna, Greven, Germania
EUR 43,43
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032820 ISBN 13: 9783330032828
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 153,65
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3330040688 ISBN 13: 9783330040687
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 169,13
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
EUR 43,43
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 47,85
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Filigrane numérique pour les vidéos | Sonika Jindal (u. a.) | Taschenbuch | Französisch | 2022 | Editions Notre Savoir | EAN 9786205117637 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
EUR 43,43
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Portoghese
Editore: Edições Nosso Conhecimento, 2022
ISBN 10: 6205117657 ISBN 13: 9786205117651
Da: moluna, Greven, Germania
EUR 43,43
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Portoghese
Editore: Edições Nosso Conhecimento, 2022
ISBN 10: 6205117657 ISBN 13: 9786205117651
Da: preigu, Osnabrück, Germania
EUR 47,85
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Marca de água digital para vídeos | Sonika Jindal (u. a.) | Taschenbuch | Portugiesisch | 2022 | Edições Nosso Conhecimento | EAN 9786205117651 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
EUR 47,85
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Filigrana digitale per i video | Sonika Jindal (u. a.) | Taschenbuch | Italienisch | 2022 | Edizioni Sapienza | EAN 9786205117644 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
EUR 54,90
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Digitales Wasserzeichen für Videos | Sonika Jindal (u. a.) | Taschenbuch | 80 S. | Deutsch | 2022 | Verlag Unser Wissen | EAN 9786205117613 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330034742 ISBN 13: 9783330034747
Da: Majestic Books, Hounslow, Regno Unito
EUR 56,29
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330034742 ISBN 13: 9783330034747
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 57,72
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330032820 ISBN 13: 9783330032828
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 49,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -It has been observed that the ground truth data, forming a prime decision system, an essential ingredient for a supervised learning, may itself contain redundant / inconsistent / conflicting information. Moreover, there may be superfluous attributes that warrants a fast mechanism to identify & discard them and at the same time keep the information content compatible to the original data set. The Rough Set Theory has emerged as an effective measure to resolve imprecise knowledge, analysis of conflicts, evaluation of data dependencies and generating rules. Landuse/Landcover classification is specifically chosen for this study as it is well recognized important task in landscape ecology. The objective is how the decision system required for any supervised classification, is made consistent and free from superfluous attributes. Land cover classification of the LISS-III image pertaining to Alwar (India) area by the Rough Set, Maximum Likelihood Classifier and Minimum Distance Classifier is performed. The findings show that, in the era of internet GIS where time and accuracy is the prime requirement in classification of images, Rough set theory offers better and accurate results. 108 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2019, 2019
ISBN 10: 3330040688 ISBN 13: 9783330040687
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 54,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the present era of information technology and rapid transmission of multimedia content, the internet is increasingly playing an important role in the offering of multimedia resources through digital networks. Digital media has disadvantage of being prone to easy illegal copying methods such as tampering, piracy, fraud and counterfeiting. Video watermarking is process of inserting watermarks in a video sequence in order to protect the video from illegal copying and identify manipulations. Due to inherent redundancies between frames video signals are commonly affected by frame dropping attacks. Since the main aspects of information hiding are capacity security and robustness. Digital watermarks are helpful in various applications like copyright management, content authentication, fingerprinting, tamper detection and broadcast monitoring. Many digital watermarking algorithms have been proposed in spatial and transform domains. Spatial domain techniques are very simple requires low computational complexities but still have relatively low-bit capacity and are not resistant enough to image processing operations. 92 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330034742 ISBN 13: 9783330034747
Da: moluna, Greven, Germania
EUR 31,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kaur BhavneetAuthors are working as Assistant Professor at Department of CSE, Shaheed Bhagat Singh State Technical Campus, Ferozepur, India. Both the authors have published several research papers in reputed International/National Jo.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032820 ISBN 13: 9783330032828
Da: moluna, Greven, Germania
EUR 41,71
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jindal SonikaThe author is presently working as Assistant Professor in CSE at Shaheed Bhagat Singh State Technical Campus, Ferozepur, India. She has around 18 years experience in teaching. She has supervised several UG and PG Researc.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3330040688 ISBN 13: 9783330040687
Da: moluna, Greven, Germania
EUR 45,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jindal SonikaThe author Sonika Jindal is working as Assistant Professor in SBSSTC, Ferozepur. She has more than 18 years teaching experience. Ms. Pawandeep Kaur has done M.Tech in CSE from SBSSTC, Ferozepur. Presently she is residing.
Lingua: Spagnolo
Editore: Ediciones Nuestro Conocimiento Aug 2022, 2022
ISBN 10: 6205117622 ISBN 13: 9786205117620
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 54,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -En la era actual de las tecnologías de la información y de la rápida transmisión de contenidos multimedia, Internet desempeña cada vez más un papel importante en la oferta de recursos multimedia a través de las redes digitales. Los medios digitales tienen la desventaja de ser propensos a métodos de copia ilegal fáciles, como la manipulación, la piratería, el fraude y la falsificación. La marca de agua de vídeo es un proceso de inserción de marcas de agua en una secuencia de vídeo para proteger el vídeo de las copias ilegales e identificar las manipulaciones. Debido a las redundancias inherentes entre los fotogramas, las señales de vídeo suelen verse afectadas por los ataques de pérdida de fotogramas. Los principales aspectos de la ocultación de información son la seguridad de la capacidad y la robustez. Las marcas de agua digitales son útiles en diversas aplicaciones como la gestión de derechos de autor, la autentificación de contenidos, la toma de huellas dactilares, la detección de manipulaciones y la supervisión de emisiones. Se han propuesto muchos algoritmos de marcas de agua digitales en los dominios espacial y de transformación. Las técnicas de dominio espacial son muy sencillas y requieren poca complejidad computacional, pero siguen teniendo una capacidad de bits relativamente baja y no son lo suficientemente resistentes a las operaciones de procesamiento de imágenes. 76 pp. Spanisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330032820 ISBN 13: 9783330032828
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 49,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -It has been observed that the ground truth data, forming a prime decision system, an essential ingredient for a supervised learning, may itself contain redundant / inconsistent / conflicting information. Moreover, there may be superfluous attributes that warrants a fast mechanism to identify & discard them and at the same time keep the information content compatible to the original data set. The Rough Set Theory has emerged as an effective measure to resolve imprecise knowledge, analysis of conflicts, evaluation of data dependencies and generating rules. Landuse/Landcover classification is specifically chosen for this study as it is well recognized important task in landscape ecology. The objective is how the decision system required for any supervised classification, is made consistent and free from superfluous attributes. Land cover classification of the LISS-III image pertaining to Alwar (India) area by the Rough Set, Maximum Likelihood Classifier and Minimum Distance Classifier is performed. The findings show that, in the era of internet GIS where time and accuracy is the prime requirement in classification of images, Rough set theory offers better and accurate results.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032820 ISBN 13: 9783330032828
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It has been observed that the ground truth data, forming a prime decision system, an essential ingredient for a supervised learning, may itself contain redundant / inconsistent / conflicting information. Moreover, there may be superfluous attributes that warrants a fast mechanism to identify & discard them and at the same time keep the information content compatible to the original data set. The Rough Set Theory has emerged as an effective measure to resolve imprecise knowledge, analysis of conflicts, evaluation of data dependencies and generating rules. Landuse/Landcover classification is specifically chosen for this study as it is well recognized important task in landscape ecology. The objective is how the decision system required for any supervised classification, is made consistent and free from superfluous attributes. Land cover classification of the LISS-III image pertaining to Alwar (India) area by the Rough Set, Maximum Likelihood Classifier and Minimum Distance Classifier is performed. The findings show that, in the era of internet GIS where time and accuracy is the prime requirement in classification of images, Rough set theory offers better and accurate results.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2019, 2019
ISBN 10: 3330040688 ISBN 13: 9783330040687
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 54,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the present era of information technology and rapid transmission of multimedia content, the internet is increasingly playing an important role in the offering of multimedia resources through digital networks. Digital media has disadvantage of being prone to easy illegal copying methods such as tampering, piracy, fraud and counterfeiting. Video watermarking is process of inserting watermarks in a video sequence in order to protect the video from illegal copying and identify manipulations. Due to inherent redundancies between frames video signals are commonly affected by frame dropping attacks. Since the main aspects of information hiding are capacity security and robustness. Digital watermarks are helpful in various applications like copyright management, content authentication, fingerprinting, tamper detection and broadcast monitoring. Many digital watermarking algorithms have been proposed in spatial and transform domains. Spatial domain techniques are very simple requires low computational complexities but still have relatively low-bit capacity and are not resistant enough to image processing operations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3330040688 ISBN 13: 9783330040687
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 54,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the present era of information technology and rapid transmission of multimedia content, the internet is increasingly playing an important role in the offering of multimedia resources through digital networks. Digital media has disadvantage of being prone to easy illegal copying methods such as tampering, piracy, fraud and counterfeiting. Video watermarking is process of inserting watermarks in a video sequence in order to protect the video from illegal copying and identify manipulations. Due to inherent redundancies between frames video signals are commonly affected by frame dropping attacks. Since the main aspects of information hiding are capacity security and robustness. Digital watermarks are helpful in various applications like copyright management, content authentication, fingerprinting, tamper detection and broadcast monitoring. Many digital watermarking algorithms have been proposed in spatial and transform domains. Spatial domain techniques are very simple requires low computational complexities but still have relatively low-bit capacity and are not resistant enough to image processing operations.
Lingua: Francese
Editore: Editions Notre Savoir Aug 2022, 2022
ISBN 10: 6205117630 ISBN 13: 9786205117637
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 54,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -À l'ère actuelle des technologies de l'information et de la transmission rapide de contenus multimédias, l'internet joue un rôle de plus en plus important dans l'offre de ressources multimédias par le biais de réseaux numériques. Les médias numériques présentent l'inconvénient de se prêter à des méthodes de copie illégale faciles telles que l'altération, le piratage, la fraude et la contrefaçon. Le filigrane vidéo est un processus d'insertion de filigranes dans une séquence vidéo afin de protéger la vidéo contre la copie illégale et les manipulations d'identification. En raison des redondances inhérentes entre les trames, les signaux vidéo sont souvent affectés par des attaques par perte de trame. Les principaux aspects de la dissimulation d'informations sont la sécurité et la robustesse. Les filigranes numériques sont utiles dans diverses applications telles que la gestion des droits d'auteur, l'authentification du contenu, les empreintes digitales, la détection de l'altération et la surveillance de la diffusion. De nombreux algorithmes de filigrane numérique ont été proposés dans les domaines spatial et de la transformation. Les techniques du domaine spatial sont très simples et nécessitent de faibles complexités de calcul, mais leur capacité en bits est relativement faible et elles ne sont pas assez résistantes aux opérations de traitement des images. 76 pp. Französisch.
Lingua: Spagnolo
Editore: Ediciones Nuestro Conocimiento Aug 2022, 2022
ISBN 10: 6205117622 ISBN 13: 9786205117620
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 54,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -En la era actual de las tecnologías de la información y de la rápida transmisión de contenidos multimedia, Internet desempeña cada vez más un papel importante en la oferta de recursos multimedia a través de las redes digitales. Los medios digitales tienen la desventaja de ser propensos a métodos de copia ilegal fáciles, como la manipulación, la piratería, el fraude y la falsificación. La marca de agua de vídeo es un proceso de inserción de marcas de agua en una secuencia de vídeo para proteger el vídeo de las copias ilegales e identificar las manipulaciones. Debido a las redundancias inherentes entre los fotogramas, las señales de vídeo suelen verse afectadas por los ataques de pérdida de fotogramas. Los principales aspectos de la ocultación de información son la seguridad de la capacidad y la robustez. Las marcas de agua digitales son útiles en diversas aplicaciones como la gestión de derechos de autor, la autentificación de contenidos, la toma de huellas dactilares, la detección de manipulaciones y la supervisión de emisiones. Se han propuesto muchos algoritmos de marcas de agua digitales en los dominios espacial y de transformación. Las técnicas de dominio espacial son muy sencillas y requieren poca complejidad computacional, pero siguen teniendo una capacidad de bits relativamente baja y no son lo suficientemente resistentes a las operaciones de procesamiento de imágenes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Spanisch.
Lingua: Spagnolo
Editore: Ediciones Nuestro Conocimiento, 2022
ISBN 10: 6205117622 ISBN 13: 9786205117620
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 55,56
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - En la era actual de las tecnologías de la información y de la rápida transmisión de contenidos multimedia, Internet desempeña cada vez más un papel importante en la oferta de recursos multimedia a través de las redes digitales. Los medios digitales tienen la desventaja de ser propensos a métodos de copia ilegal fáciles, como la manipulación, la piratería, el fraude y la falsificación. La marca de agua de vídeo es un proceso de inserción de marcas de agua en una secuencia de vídeo para proteger el vídeo de las copias ilegales e identificar las manipulaciones. Debido a las redundancias inherentes entre los fotogramas, las señales de vídeo suelen verse afectadas por los ataques de pérdida de fotogramas. Los principales aspectos de la ocultación de información son la seguridad de la capacidad y la robustez. Las marcas de agua digitales son útiles en diversas aplicaciones como la gestión de derechos de autor, la autentificación de contenidos, la toma de huellas dactilares, la detección de manipulaciones y la supervisión de emisiones. Se han propuesto muchos algoritmos de marcas de agua digitales en los dominios espacial y de transformación. Las técnicas de dominio espacial son muy sencillas y requieren poca complejidad computacional, pero siguen teniendo una capacidad de bits relativamente baja y no son lo suficientemente resistentes a las operaciones de procesamiento de imágenes.