Perceptual Metrics for Image Database Navigation (The Springer International Series in Engineering and Computer Science, Band 594) - Softcover
Buch 241 von 260: The Springer International Series in Engineering and Computer Science
Inhaltsangabe
The increasing amount of information available in today's world raises the need to retrieve relevant data efficiently. Unlike text-based retrieval, where keywords are successfully used to index into documents, content-based image retrieval poses up front the fundamental questions how to extract useful image features and how to use them for intuitive retrieval. We present a novel approach to the problem of navigating through a collection of images for the purpose of image retrieval, which leads to a new paradigm for image database search. We summarize the appearance of images by distributions of color or texture features, and we define a metric between any two such distributions. This metric, which we call the "Earth Mover's Distance" (EMD), represents the least amount of work that is needed to rearrange the mass is one distribution in order to obtain the other. We show that the EMD matches perceptual dissimilarity better than other dissimilarity measures, and argue that it has many desirable properties for image retrieval. Using this metric, we employ Multi-Dimensional Scaling techniques to embed a group of images as points in a two- or three-dimensional Euclidean space so that their distances reflect image dissimilarities as well as possible. Such geometric embeddings exhibit the structure in the image set at hand, allowing the user to understand better the result of a database query and to refine the query in a perceptually intuitive way.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Weitere beliebte Ausgaben desselben Titels
Suchergebnisse für Perceptual Metrics for Image Database Navigation (The...
Beispielbild für diese ISBN
Perceptual Metrics for Image Database Navigation (eng)
Print-on-DemandAnbieter: Brook Bookstore On Demand, Napoli, NA, Italien
Verkäuferbewertung 4 von 5 Sternen
Zustand: new. Questo è un articolo print on demand. Bestandsnummer des Verkäufers XH1E1Q7ZCF
Neu kaufen
EUR 126,26
EUR 5,50 Versand
Versand von Italien nach USA
Versand von Italien nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Perceptual Metrics for Image Database Navigation (The Springer International Series in Engineering and Computer Science)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9781441948632_new
Neu kaufen
EUR 162,61
EUR 13,83 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Perceptual Metrics for Image Database Navigation
Print-on-DemandAnbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The increasing amount of information available in today's world raises the need to retrieve relevant data efficiently. Unlike text-based retrieval, where keywords are successfully used to index into documents, content-based image retrieval poses up front the fundamental questions how to extract useful image features and how to use them for intuitive retrieval. We present a novel approach to the problem of navigating through a collection of images for the purpose of image retrieval, which leads to a new paradigm for image database search. We summarize the appearance of images by distributions of color or texture features, and we define a metric between any two such distributions. This metric, which we call the 'Earth Mover's Distance' (EMD), represents the least amount of work that is needed to rearrange the mass is one distribution in order to obtain the other. We show that the EMD matches perceptual dissimilarity better than other dissimilarity measures, and argue that it has many desirable properties for image retrieval. Using this metric, we employ Multi-Dimensional Scaling techniques to embed a group of images as points in a two- or three-dimensional Euclidean space so that their distances reflect image dissimilarities as well as possible. Such geometric embeddings exhibit the structure in the image set at hand, allowing the user to understand better the result of a database query and to refine the query in a perceptually intuitive way. 164 pp. Englisch. Bestandsnummer des Verkäufers 9781441948632
Neu kaufen
EUR 160,49
EUR 23,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar
Foto des Verkäufers
Perceptual Metrics for Image Database Navigation
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The increasing amount of information available in today s world raises the need to retrieve relevant data efficiently. Unlike text-based retrieval, where keywords are successfully used to index into documents, content-based image retrieval poses up front th. Bestandsnummer des Verkäufers 4175191
Neu kaufen
EUR 136,16
EUR 48,99 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Perceptual Metrics for Image Database Navigation
Print-on-DemandAnbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Print on Demand pp. 164 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Bestandsnummer des Verkäufers 5829855
Neu kaufen
EUR 200,39
EUR 7,50 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 4 verfügbar
Foto des Verkäufers
Perceptual Metrics for Image Database Navigation
Anbieter: preigu, Osnabrück, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Perceptual Metrics for Image Database Navigation | Yossi Rubner (u. a.) | Taschenbuch | xxiii | Englisch | 2010 | Springer | EAN 9781441948632 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 107252100
Neu kaufen
EUR 140,00
EUR 70,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 5 verfügbar
Beispielbild für diese ISBN
Perceptual Metrics for Image Database Navigation
Print-on-DemandAnbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. PRINT ON DEMAND pp. 164. Bestandsnummer des Verkäufers 183099402
Neu kaufen
EUR 203,36
EUR 9,95 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Perceptual Metrics for Image Database Navigation
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. 164. Bestandsnummer des Verkäufers 263099392
Neu kaufen
EUR 210,53
EUR 3,44 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 4 verfügbar
Foto des Verkäufers
Perceptual Metrics for Image Database Navigation
Verlag:
Springer, Springer Dez 2010, 2010
ISBN 10: 1441948635
ISBN 13: 9781441948632
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The increasing amount of information available in today's world raises the need to retrieve relevant data efficiently. Unlike text-based retrieval, where keywords are successfully used to index into documents, content-based image retrieval poses up front the fundamental questions how to extract useful image features and how to use them for intuitive retrieval. We present a novel approach to the problem of navigating through a collection of images for the purpose of image retrieval, which leads to a new paradigm for image database search. We summarize the appearance of images by distributions of color or texture features, and we define a metric between any two such distributions. This metric, which we call the 'Earth Mover's Distance' (EMD), represents the least amount of work that is needed to rearrange the mass is one distribution in order to obtain the other. We show that the EMD matches perceptual dissimilarity better than other dissimilarity measures, and argue that it has many desirable properties for image retrieval. Using this metric, we employ Multi-Dimensional Scaling techniques to embed a group of images as points in a two- or three-dimensional Euclidean space so that their distances reflect image dissimilarities as well as possible. Such geometric embeddings exhibit the structure in the image set at hand, allowing the user to understand better the result of a database query and to refine the query in a perceptually intuitive way.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch. Bestandsnummer des Verkäufers 9781441948632
Neu kaufen
EUR 160,49
EUR 60,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Perceptual Metrics for Image Database Navigation
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The increasing amount of information available in today's world raises the need to retrieve relevant data efficiently. Unlike text-based retrieval, where keywords are successfully used to index into documents, content-based image retrieval poses up front the fundamental questions how to extract useful image features and how to use them for intuitive retrieval. We present a novel approach to the problem of navigating through a collection of images for the purpose of image retrieval, which leads to a new paradigm for image database search. We summarize the appearance of images by distributions of color or texture features, and we define a metric between any two such distributions. This metric, which we call the 'Earth Mover's Distance' (EMD), represents the least amount of work that is needed to rearrange the mass is one distribution in order to obtain the other. We show that the EMD matches perceptual dissimilarity better than other dissimilarity measures, and argue that it has many desirable properties for image retrieval. Using this metric, we employ Multi-Dimensional Scaling techniques to embed a group of images as points in a two- or three-dimensional Euclidean space so that their distances reflect image dissimilarities as well as possible. Such geometric embeddings exhibit the structure in the image set at hand, allowing the user to understand better the result of a database query and to refine the query in a perceptually intuitive way. Bestandsnummer des Verkäufers 9781441948632
Neu kaufen
EUR 167,14
EUR 61,30 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar