Narrowing Down the Semantic Gap between Content and Context

Name: Narrowing Down the Semantic Gap between Content and Context
Brand: LAP Lambert Academic Publishing
SKU: 9783846520581
Price: 51.01 EUR
Availability: InStock

Using Multimodal Image Keywords

Autor: Rajeev Agrawal, William Grosky, Farshad Fotouhi

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

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51.01 €

Conventional information retrieval is based solely on text, and the approaches to textual informatio...

Informácie o knihe

Autor

Rajeev Agrawal, William Grosky, Farshad Fotouhi

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2011

Stránok

136

EAN

9783846520581

Enbook ID

06856009

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

209

Rozmery

152 x 229 x 8

Kompletný popis

Conventional information retrieval is based solely on text, and the approaches to textual information retrieval have been transplanted into image retrieval in a variety of ways, including the representation of an image as a vector of feature values of different modalities. It has been widely recognized that the image retrieval techniques should become an integration of different modalities, such as color, texture and associated text keywords. To take the cue from text-based retrieval techniques, we construct visual keywords using vector quantization of small sized image tiles. Both visual and text keywords are combined and used to represent an image as a single multimodal vector. We demonstrate the power of these multimodal image keywords for clustering and retrieval of relevant images from a large collection.

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Narrowing Down the Semantic Gap between Content and Context

Using Multimodal Image Keywords

Informácie o knihe

Kompletný popis

Mohlo by vás zaujímať

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež