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Nowadays, images are used as information in multiple areas, such as hospitals, government offices, health systems, crime prevention and detection, business professionals, historical research, and many more. These images are categorized and can be stored on a computer system using software and hardware. However, finding the right image in this large database is a big problem. Therefore retrieving images based on content (CBIR) becomes a broad area of interest for the researcher. This book provides in-depth knowledge in designing an efficient content-based image retrieval system.<p>Nowadays, images are used as information in multiple areas, such as <span>hospitals, government offices, health systems, crime prevention and detection, business professionals, historical research, and many more. These images are categorized and can be stored on a computer system using software and hardware. However, finding the right image in this large database is a big problem. Therefore retrieving images based on content (CBIR) becomes a broad area of interest for the researcher. This book provides in-depth knowledge in designing an efficient content-based image retrieval system.</span></p>
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Exploration of fusion-based approach for building a robust CBIR system
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203869589
ISBN 13: 9786203869583
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Exploration of fusion-based approach for building a robust CBIR system
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203869589
ISBN 13: 9786203869583
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Exploration of fusion-based approach for building a robust CBIR system
Editore:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203869589
ISBN 13: 9786203869583
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Exploration of fusion-based approach for building a robust CBIR system
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LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10: 6203869589
ISBN 13: 9786203869583
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays, images are used as information in multiple areas, such as hospitals, government offices, health systems, crime prevention and detection, business professionals, historical research, and many more. These images are categorized and can be stored on a computer system using software and hardware. However, finding the right image in this large database is a big problem. Therefore retrieving images based on content (CBIR) becomes a broad area of interest for the researcher. This book provides in-depth knowledge in designing an efficient content-based image retrieval system.Nowadays, images are used as information in multiple areas, such as hospitals, government offices, health systems, crime prevention and detection, business professionals, historical research, and many more. These images are categorized and can be stored on a computer system using software and hardware. However, finding the right image in this large database is a big problem. Therefore retrieving images based on content (CBIR) becomes a broad area of interest for the researcher. This book provides in-depth knowledge in designing an efficient content-based image retrieval system. 92 pp. Englisch. Codice articolo 9786203869583
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Exploration of fusion-based approach for building a robust CBIR system
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203869589
ISBN 13: 9786203869583
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kurchaniya DikshaMs. Diksha Kurchaniya has received the Bachelor of Engineering degree in Computer Science and Engineering from ITM, Gwalior, M.P. in 2014. She has done her Master of Technology from MITS, Gwalior, M.P. in 2017. She h. Codice articolo 482758018
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Exploration of fusion-based approach for building a robust CBIR system
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LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10: 6203869589
ISBN 13: 9786203869583
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Nowadays, images are used as information in multiple areas, such as hospitals, government offices, health systems, crime prevention and detection, business professionals, historical research, and many more. These images are categorized and can be stored on a computer system using software and hardware. However, finding the right image in this large database is a big problem. Therefore retrieving images based on content (CBIR) becomes a broad area of interest for the researcher. This book provides in-depth knowledge in designing an efficient content-based image retrieval system.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Codice articolo 9786203869583
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Exploration of fusion-based approach for building a robust CBIR system
Editore:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203869589
ISBN 13: 9786203869583
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays, images are used as information in multiple areas, such as hospitals, government offices, health systems, crime prevention and detection, business professionals, historical research, and many more. These images are categorized and can be stored on a computer system using software and hardware. However, finding the right image in this large database is a big problem. Therefore retrieving images based on content (CBIR) becomes a broad area of interest for the researcher. This book provides in-depth knowledge in designing an efficient content-based image retrieval system.Nowadays, images are used as information in multiple areas, such as hospitals, government offices, health systems, crime prevention and detection, business professionals, historical research, and many more. These images are categorized and can be stored on a computer system using software and hardware. However, finding the right image in this large database is a big problem. Therefore retrieving images based on content (CBIR) becomes a broad area of interest for the researcher. This book provides in-depth knowledge in designing an efficient content-based image retrieval system. Codice articolo 9786203869583
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