Perceptual Metrics for Image Database Navigation / The Springer International Series in Engineering and Computer Science Bd.594 (PDF)
(Sprache: Englisch)
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...
sofort als Download lieferbar
Printausgabe 160.49 €
eBook (pdf) -7%
149.79 €
74 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Perceptual Metrics for Image Database Navigation / The Springer International Series in Engineering and Computer Science Bd.594 (PDF)“
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.
Bibliographische Angaben
- Autoren: Yossi Rubner , Carlo Tomasi
- 2013, 2001, 137 Seiten, Englisch
- Verlag: Springer, New York
- ISBN-10: 1475733437
- ISBN-13: 9781475733433
- Erscheinungsdatum: 14.03.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 14 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Perceptual Metrics for Image Database Navigation / The Springer International Series in Engineering and Computer Science Bd.594"
0 Gebrauchte Artikel zu „Perceptual Metrics for Image Database Navigation / The Springer International Series in Engineering and Computer Science Bd.594“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Perceptual Metrics for Image Database Navigation / The Springer International Series in Engineering and Computer Science Bd.594".
Kommentar verfassen