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: 1407 CZK
Availability: InStock

Using Multimodal Image Keywords

Autor: Rajeev Agrawal, William Grosky, Farshad Fotouhi

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: U nakladatele na objednávku

Odesíláme za 17-27 dnů

1 407 Kč

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

Informace o knize

Autor

Rajeev Agrawal, William Grosky, Farshad Fotouhi

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2011

Stránek

136

EAN

9783846520581

Enbook ID

06856009

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

209

Rozměry

152 x 229 x 8

Kompletní 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

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také