Pixels of Discovery: The Science of Image Retrieval

Ansari, Mohd. Aquib; Mewada, Arvind; Naz, Rahat

ISBN 10: 6208426456 ISBN 13: 9786208426453
Published by LAP LAMBERT Academic Publishing, 2025
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This book offers a comprehensive exploration of Content-Based Image Retrieval (CBIR), a technique that overcomes the limitations of traditional text-based search by leveraging intrinsic visual features such as color, texture, and shape. It highlights the evolution of CBIR, its core methodologies, and practical applications across diverse fields like healthcare, education, commerce, and crime prevention. The book delves into advanced technologies such as feature extraction, relevance feedback, and machine learning models, focusing on how they improve retrieval accuracy and efficiency. Additionally, it addresses significant challenges, including computational complexity, scalability, and ethical issues in implementing CBIR systems. Looking forward, the book explores future innovations in CBIR, such as personalized retrieval, multimodal search, and its integration with emerging technologies like augmented reality. It serves as an essential resource for researchers, practitioners, and innovators, emphasizing CBIR’s transformative potential in a world increasingly driven by image and multimedia data.

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Title: Pixels of Discovery: The Science of Image ...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2025
Binding: Soft cover
Condition: New

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Paperback. Condition: new. Paperback. This book offers a comprehensive exploration of Content-Based Image Retrieval (CBIR), a technique that overcomes the limitations of traditional text-based search by leveraging intrinsic visual features such as color, texture, and shape. It highlights the evolution of CBIR, its core methodologies, and practical applications across diverse fields like healthcare, education, commerce, and crime prevention. The book delves into advanced technologies such as feature extraction, relevance feedback, and machine learning models, focusing on how they improve retrieval accuracy and efficiency. Additionally, it addresses significant challenges, including computational complexity, scalability, and ethical issues in implementing CBIR systems. Looking forward, the book explores future innovations in CBIR, such as personalized retrieval, multimodal search, and its integration with emerging technologies like augmented reality. It serves as an essential resource for researchers, practitioners, and innovators, emphasizing CBIR's transformative potential in a world increasingly driven by image and multimedia data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9786208426453

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Ansari, Mohd. Aquib; Mewada, Arvind; Naz, Rahat
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208426456 ISBN 13: 9786208426453
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Taschenbuch. Condition: Neu. Pixels of Discovery | The Science of Image Retrieval | Mohd. Aquib Ansari (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208426453 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 131791445

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Paperback. Condition: new. Paperback. This book offers a comprehensive exploration of Content-Based Image Retrieval (CBIR), a technique that overcomes the limitations of traditional text-based search by leveraging intrinsic visual features such as color, texture, and shape. It highlights the evolution of CBIR, its core methodologies, and practical applications across diverse fields like healthcare, education, commerce, and crime prevention. The book delves into advanced technologies such as feature extraction, relevance feedback, and machine learning models, focusing on how they improve retrieval accuracy and efficiency. Additionally, it addresses significant challenges, including computational complexity, scalability, and ethical issues in implementing CBIR systems. Looking forward, the book explores future innovations in CBIR, such as personalized retrieval, multimodal search, and its integration with emerging technologies like augmented reality. It serves as an essential resource for researchers, practitioners, and innovators, emphasizing CBIR's transformative potential in a world increasingly driven by image and multimedia data. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786208426453

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Taschenbuch. Condition: Neu. Neuware -This book offers a comprehensive exploration of Content-Based Image Retrieval (CBIR), a technique that overcomes the limitations of traditional text-based search by leveraging intrinsic visual features such as color, texture, and shape. It highlights the evolution of CBIR, its core methodologies, and practical applications across diverse fields like healthcare, education, commerce, and crime prevention. The book delves into advanced technologies such as feature extraction, relevance feedback, and machine learning models, focusing on how they improve retrieval accuracy and efficiency. Additionally, it addresses significant challenges, including computational complexity, scalability, and ethical issues in implementing CBIR systems. Looking forward, the book explores future innovations in CBIR, such as personalized retrieval, multimodal search, and its integration with emerging technologies like augmented reality. It serves as an essential resource for researchers, practitioners, and innovators, emphasizing CBIR's transformative potential in a world increasingly driven by image and multimedia data.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. Seller Inventory # 9786208426453

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Paperback. Condition: new. Paperback. This book offers a comprehensive exploration of Content-Based Image Retrieval (CBIR), a technique that overcomes the limitations of traditional text-based search by leveraging intrinsic visual features such as color, texture, and shape. It highlights the evolution of CBIR, its core methodologies, and practical applications across diverse fields like healthcare, education, commerce, and crime prevention. The book delves into advanced technologies such as feature extraction, relevance feedback, and machine learning models, focusing on how they improve retrieval accuracy and efficiency. Additionally, it addresses significant challenges, including computational complexity, scalability, and ethical issues in implementing CBIR systems. Looking forward, the book explores future innovations in CBIR, such as personalized retrieval, multimodal search, and its integration with emerging technologies like augmented reality. It serves as an essential resource for researchers, practitioners, and innovators, emphasizing CBIR's transformative potential in a world increasingly driven by image and multimedia data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208426453

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