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Multimodal Image Retrieval Based on Keywords and Low-Level Image Features


Pobar, Miran; Ivašić-Kos, Marina
Multimodal Image Retrieval Based on Keywords and Low-Level Image Features // Semantic Keyword-based Search on Structured Data Sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers / Cardoso, J., Guerra, F., Houben, G.-J., Pinto, A.M., Velegrakis, Y. (Eds.) (ur.).
Coimbra: Springer, 2015. str. 133-140 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Multimodal Image Retrieval Based on Keywords and Low-Level Image Features

Autori
Pobar, Miran ; Ivašić-Kos, Marina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Semantic Keyword-based Search on Structured Data Sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers / Cardoso, J., Guerra, F., Houben, G.-J., Pinto, A.M., Velegrakis, Y. (Eds.) - Coimbra : Springer, 2015, 133-140

ISBN
978-3-319-27932-9

Skup
First COST Action IC1302 International KEYSTONE Conference, IKC 2015

Mjesto i datum
Coimbra, Portugal, 8-9.9.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Image retrieval; multimodal query; content-based similarity

Sažetak
Image retrieval approaches dealing with the complex problem of image search and retrieval in very large image datasets proposed so far can be roughly divided into those that use text descriptions of images (text-based image retrieval) and those that compare visual image content (content-based image retrieval). Both approaches have their strengths and drawbacks especially in the case of searching for images in general unconstrained domain. To take advantage of both approaches, we propose a multimodal framework that uses both keywords and visual properties of images. Keywords are used to determine the semantics of the query while the example image presents the visual impression (perceptual and structural information) that retrieved images should suit. In the paper, the over-view of the proposed multimodal image retrieval framework is presented. For computing the content-based similarity between images different feature sets and metrics were tested. The procedure is described with Corel and Flickr images from the domain of outdoor scenes.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



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