Face Exposure Using Content by Magdalene Delighta (9 results)

Face exposure using content based image retrieval: Computer Vision Techniques to the Image Retrieval
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Softcover
Seller: moluna, Greven, Germanymoluna
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- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Face exposure using content based image retrieval | Computer Vision Techniques to the Image Retrieval | Magdalene Delighta Angeline D (u. a.) | Taschenbuch | 52 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202516464 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Face exposure using content based image retrieval: Computer Vision Techniques to the Image Retrieval
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Language: English
Published by LAP LAMBERT Academic Publishing Mrz 2020, 2020
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Content-Based Image Retrieval (CBIR) is a scaffold that can prevail over the above revealed crisis as it is based on the visual analysis of contents that are part of the query image. In this book, the features like shape, texture, edge, HSV colour are extracted after applying phone shading in order to flatter out the dull surface of the image, feature extracted values are used to find the similarity between input query image and the db image. It can be measured using Euclidean and quadratic distance formula. The image is ranked according to the minimum distance value. The advantage of CBIR over TBIR (Text-Based Image Retrieval) are among other image retrieval methods, CBIRl is an approach that exclusively relies on the visual features, such as color histogram, texture, shape, and so forth, of the images. One of the obvious advantages of CBIR over other method is that It can be done in a fully automatic process since the visual features are automatically extracted. 52 pp. Englisch.…

Face exposure using content based image retrieval: Computer Vision Techniques to the Image Retrieval
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Face exposure using content based image retrieval: Computer Vision Techniques to the Image Retrieval
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Content-Based Image Retrieval (CBIR) is a scaffold that can prevail over the above revealed crisis as it is based on the visual analysis of contents that are part of the query image. In this book, the features like shape, texture, edge, HSV colour are extracted after applying phone shading in order to flatter out the dull surface of the image, feature extracted values are used to find the similarity between input query image and the db image. It can be measured using Euclidean and quadratic distance formula. The image is ranked according to the minimum distance value. The advantage of CBIR over TBIR (Text-Based Image Retrieval) are among other image retrieval methods, CBIRl is an approach that exclusively relies on the visual features, such as color histogram, texture, shape, and so forth, of the images. One of the obvious advantages of CBIR over other method is that It can be done in a fully automatic process since the visual features are automatically extracted.…

Language: English
Published by LAP LAMBERT Academic Publishing Mär 2020, 2020
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Content-Based Image Retrieval (CBIR) is a scaffold that can prevail over the above revealed crisis as it is based on the visual analysis of contents that are part of the query image. In this book, the features like shape, texture, edge, HSV colour are extracted after applying phone shading in order to flatter out the dull surface of the image, feature extracted values are used to find the similarity between input query image and the db image. It can be measured using Euclidean and quadratic distance formula. The image is ranked according to the minimum distance value. The advantage of CBIR over TBIR (Text-Based Image Retrieval) are among other image retrieval methods, CBIRl is an approach that exclusively relies on the visual features, such as color histogram, texture, shape, and so forth, of the images. One of the obvious advantages of CBIR over other method is that It can be done in a fully automatic process since the visual features are automatically extracted.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…