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Sinopsis
Images and graphics are among the most important media formats for human communication and they provide a rich amount of information for people to understand the world. With the rapid development of digital imaging techniques and internet, more and more images are available to public. Consequently, there is an increasingly high demand for effective and efficient image indexing and retrieval methods, and image retrieval has become one of the most popular topics in the field of pattern recognition and artificial intelligence. An image retrieval system is a computer system for browsing, searching and retrieving images from a large volume of digital images. Generally speaking, there are three categories of image retrieval methods, i.e. text based, content-based and semantic-based methods. The term has since been widely used to describe the process of retrieving desired images from a large collection on the basis of features (such as color, texture and shape) that can be automatically extracted from the images themselves. The features used for retrieval can be either primitive or semantic, but the extraction process must be predominantly automatic. Retrieval of images by manually-assigned
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Reseña del editor
Images and graphics are among the most important media formats for human communication and they provide a rich amount of information for people to understand the world. With the rapid development of digital imaging techniques and internet, more and more images are available to public. Consequently, there is an increasingly high demand for effective and efficient image indexing and retrieval methods, and image retrieval has become one of the most popular topics in the field of pattern recognition and artificial intelligence. An image retrieval system is a computer system for browsing, searching and retrieving images from a large volume of digital images. Generally speaking, there are three categories of image retrieval methods, i.e. text based, content-based and semantic-based methods. The term has since been widely used to describe the process of retrieving desired images from a large collection on the basis of features (such as color, texture and shape) that can be automatically extracted from the images themselves. The features used for retrieval can be either primitive or semantic, but the extraction process must be predominantly automatic. Retrieval of images by manually-assigned
Biografía del autor
Ravindra C. Patil has received M.E (degree in Electronics Engineering from University of Mumbai. He is currently working as a faculty member at Department of Computer Engineering at TCET affiliated to University of Mumbai and pursuing the doctoral research at MPSTME affiliated to NMIMS Deemed University, Mumbai.
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New Approaches for Image Retrieval
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LAP LAMBERT Academic Publishing Dez 2012, 2012
ISBN 10: 3847331906
ISBN 13: 9783847331902
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Images and graphics are among the most important media formats for human communication and they provide a rich amount of information for people to understand the world. With the rapid development of digital imaging techniques and internet, more and more images are available to public. Consequently, there is an increasingly high demand for effective and efficient image indexing and retrieval methods, and image retrieval has become one of the most popular topics in the eld of pattern recognition and arti cial intelligence. An image retrieval system is a computer system for browsing, searching and retrieving images from a large volume of digital images. Generally speaking, there are three categories of image retrieval methods, i.e. text based, content-based and semantic-based methods. The term has since been widely used to describe the process of retrieving desired images from a large collection on the basis of features (such as color, texture and shape) that can be automatically extracted from the images themselves. The features used for retrieval can be either primitive or semantic, but the extraction process must be predominantly automatic. Retrieval of images by manually-assigned 100 pp. Englisch. Nº de ref. del artículo: 9783847331902
Cantidad disponible: 2 disponibles
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New Approaches for Image Retrieval
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847331906
ISBN 13: 9783847331902
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil RavindraRavindra C. Patil has received M.E (degree in Electronics Engineering from University of Mumbai. He is currently working as a faculty member at Department of Computer Engineering at TCET affiliated to University of Mumb. Nº de ref. del artículo: 5510634
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New Approaches for Image Retrieval : Image Retrieval Methods
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847331906
ISBN 13: 9783847331902
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Images and graphics are among the most important media formats for human communication and they provide a rich amount of information for people to understand the world. With the rapid development of digital imaging techniques and internet, more and more images are available to public. Consequently, there is an increasingly high demand for effective and efficient image indexing and retrieval methods, and image retrieval has become one of the most popular topics in the eld of pattern recognition and arti cial intelligence. An image retrieval system is a computer system for browsing, searching and retrieving images from a large volume of digital images. Generally speaking, there are three categories of image retrieval methods, i.e. text based, content-based and semantic-based methods. The term has since been widely used to describe the process of retrieving desired images from a large collection on the basis of features (such as color, texture and shape) that can be automatically extracted from the images themselves. The features used for retrieval can be either primitive or semantic, but the extraction process must be predominantly automatic. Retrieval of images by manually-assigned. Nº de ref. del artículo: 9783847331902
Cantidad disponible: 1 disponibles
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New Approaches for Image Retrieval
Publicado por
LAP LAMBERT Academic Publishing Dez 2012, 2012
ISBN 10: 3847331906
ISBN 13: 9783847331902
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Images and graphics are among the most important media formats for human communication and they provide a rich amount of information for people to understand the world. With the rapid development of digital imaging techniques and internet, more and more images are available to public. Consequently, there is an increasingly high demand for effective and efficient image indexing and retrieval methods, and image retrieval has become one of the most popular topics in the ¿eld of pattern recognition and arti¿cial intelligence. An image retrieval system is a computer system for browsing, searching and retrieving images from a large volume of digital images. Generally speaking, there are three categories of image retrieval methods, i.e. text based, content-based and semantic-based methods. The term has since been widely used to describe the process of retrieving desired images from a large collection on the basis of features (such as color, texture and shape) that can be automatically extracted from the images themselves. The features used for retrieval can be either primitive or semantic, but the extraction process must be predominantly automatic. Retrieval of images by manually-assignedBooks on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. Nº de ref. del artículo: 9783847331902
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