Könyv Narrowing Down the Semantic Gap between Content and Context Rajeev Agrawal

Narrowing Down the Semantic Gap between Content and Context

Using Multimodal Image Keywords

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
19 827 Ft
Conventional information retrieval is based solely on text, and the approaches to textual informatio...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2011
oldal
136
EAN
9783846520581
Enbook ID
06856009
Súly
209
Méretek
152 x 229 x 8

Teljes leírás

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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