IMAGE DIVERSITY ANALYSIS: CONTEXT, OPINION AND BIAS
Zontone, Pamela, Boato, Giulia, De Natale, F. G. B., De Rosa, Alessia, Barni, Mauro, Piva, Alessandro, Hare, Jonathan, Dupplaw, David and Lewis, Paul (2009) IMAGE DIVERSITY ANALYSIS: CONTEXT, OPINION AND BIAS. At The First International Workshop on Living Web: Making Web Diversity a true asset, Collocated with the 8th International Semantic Web Conference ISWC-2009, Westfields Conference Center, Washington DC. , USA, CEUR-WS.
PDF (Livingweb paper)
- Published Version
The diffusion of new Internet and web technologies has increased the distribution of different digital content, such as text, sounds, images and videos. In this paper we focus on images and their role in the analysis of diversity. We consider diversity as a concept that takes into account the wide variety of information sources, and their differences in perspective and viewpoint. We describe a number of different dimensions of diversity; in particular, we analyze the dimensions related to image searches and context analysis, emotions conveyed by images and opinion mining, and bias analysis.
|Item Type:||Conference or Workshop Item (Speech)|
|Additional Information:||Event Dates: 26 October 2009|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||30 Oct 2009 14:52|
|Last Modified:||27 Mar 2014 20:14|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)