On the Feasibility of a Tag-Based Approach for Deciding Which Objects a Picture Shows: An Empirical Study
Identifieur interne : 000C59 ( Main/Exploration ); précédent : 000C58; suivant : 000C60On the Feasibility of a Tag-Based Approach for Deciding Which Objects a Picture Shows: An Empirical Study
Auteurs : Viktoria Pammer [Autriche] ; Barbara Kump [Autriche] ; Stefanie Lindstaedt [Autriche]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: Many online platforms allow users to describe resources with freely chosen keywords, so called tags. The specific meaning of a tag as well as its specific relation to the tagged resource are left open for interpretation to the user. Although human users mostly have a fair chance at interpreting it, machines do not. An algorithmic approach for identifying descriptive tags however could prove useful for intelligent search for pictures and providing first-cut overviews over tagged picture repositories. In this paper we investigate the characteristics of the problem to decide which tags describe visible entities on a given picture. Based on a systematic user study, we are able to discuss in detail the problems involved for both humans and machines when identifying descriptive tags. Furthermore, we investigate the general feasibility of developing a tag-based algorithm tackling this question. Finally, a concrete implementation and its evaluation are presented.
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DOI: 10.1007/978-3-642-10543-2_6
Affiliations:
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