Szczegóły publikacji
Opis bibliograficzny
Which entry is more similar? : A non-linear visualisation of query results in image retrieval and image recognition problem / Joanna Gancarczyk, Anna OLSZEWSKA // W: EVA London electronic visualisation and the arts [Dokument elektroniczny] : London, 10–13 July 2017 : proceedings / ed. Jonathan P. Bowen, Graham Diprose, Nick Lambert. — Wersja do Windows. — Dane tekstowe. — Swindon : BCS Learning & Development Ltd., cop. 2017. — (Electronic Workshops in Computing ; ISSN 1477-9358). — ISBN: 978-1-78017-399-3. — S. 74–80. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://goo.gl/ahWjyJ [2018-01-31]. — Bibliogr. s. 79–80
Autorzy (2)
- Gancarczyk Joanna
- AGHOlszewska Anna
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 111956 |
|---|---|
| Data dodania do BaDAP | 2018-02-10 |
| DOI | 10.14236/ewic/EVA2017.14 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | Electronic Workshops in Computing |
Abstract
Content based image retrieval (CBIR) has been a subject of exploration in digital humanities since 1990’s (Gudivada 1995). Various descriptors were implemented to represent shape, texture and colour content of the image as sequences of numerical values (Zhang & Lu 2004, Veltkamp, Latecki 2006, Zha & Yang 2010). At the same time similarity measures and learning algorithms were designed to enable efficient image classification and retrieval (LeCun 1998). The issue, however, remains in a simple question: which descriptor and which similarity measure best reflects the human perception of similarity of visual objects? And is this the same one, that best responds to the ground truth in a retrieval query? In this paper, we move for a while away from the very technical issues of shape descriptors definition and verification and we focus on the question how visualisation of the computed data affects the final result of a visual query. We are replacing a traditional, linear presentation of n most similar outputs to a set of graph-like and scatterplot based visualisation modes. The research study is performed on a particular example of visual search in large databases of historical watermarks, trademarks and monograms. We believe, that the approach to search across a digital print room repository involving intuitive user interaction is a step toward fully making use of its potential. We state, that a modern interface, that allows the end user an intuitive navigation through options and partial results is a milestone on the way to fill a technological gap between users familiar with image processing issues and with computer science background and those for whom obtaining an answer for a particular research question is worth more, than understanding how the result was actually computed. Finally, we proof the concept with a proposition of a shape descriptor followed by a set of flexible interfaces designed to display and navigate through the results of a visual query.
