Pregled bibliografske jedinice broj: 965242
Large Image Collections – Comprehension and Familiarization by Interactive Visual Analysis
Large Image Collections – Comprehension and Familiarization by Interactive Visual Analysis // Proceedings of the 10th International Symposium on Smart Graphics / Butz, Andreas ; Fisher, Brian ; Christie, Marc ; Krüger, Antonio ; Olivier, Patrick ; Therón, Roberto (ur.).
Berlin: Springer, 2009. str. 15-26 doi:10.1007/978-3-642-02115-2_2 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 965242 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Large Image Collections – Comprehension and Familiarization by Interactive Visual Analysis
Autori
Matković, Krešimir ; Gračanin, Denis ; Freiler, Wolfgang ; Banova, Jana ; Hauser, Helwig
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 10th International Symposium on Smart Graphics
/ Butz, Andreas ; Fisher, Brian ; Christie, Marc ; Krüger, Antonio ; Olivier, Patrick ; Therón, Roberto - Berlin : Springer, 2009, 15-26
ISBN
978-3-642-02114-5
Skup
10th International Symposium on Smart Graphics
Mjesto i datum
Salamanca, Španjolska, 28.05.2009. - 30.05.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Interactive Visual Analysis, Coordinated Multiple Views. Large Image Collections.
Sažetak
Large size and complex multi-dimensional characteristics of image collections demand a multifaceted approach to exploration and analysis providing better comprehension and appreciation. We explore large and complex data-sets composed of images and parameters describing the images. We describe a novel approach providing new and exciting opportunities for the exploration and understanding of such data-sets. We utilize coordinated, multiple views for interactive visual analysis of all parameters. Besides iterative refinement and drill-down in the image parameters space, exploring such data-sets requires a different approach since visual content cannot be completely parameterized. We simultaneously brush the visual content and the image parameter values. The user provides a visual hint (using an image) for brushing in addition to providing a complete image parameters specification. We illustrate our approach on a data-set of more than 26, 000 images from <em>Flickr</em> . The developed approach can be used in many application areas, including sociology, marketing, or everyday use.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
