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Proceedings Paper

What do you think of my picture? Investigating factors of influence in profile images context perception
Author(s): F. Mazza; M. P. Da Silva; P. Le Callet; I. E. J. Heynderickx
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Paper Abstract

Multimedia quality assessment has been an important research topic during the last decades. The original focus on artifact visibility has been extended during the years to aspects as image aesthetics, interestingness and memorability. More recently, Fedorovskaya proposed the concept of 'image psychology': this concept focuses on additional quality dimensions related to human content processing. While these additional dimensions are very valuable in understanding preferences, it is very hard to define, isolate and measure their effect on quality. In this paper we continue our research on face pictures investigating which image factors influence context perception. We collected perceived fit of a set of images to various content categories. These categories were selected based on current typologies in social networks. Logistic regression was adopted to model category fit based on images features. In this model we used both low level and high level features, the latter focusing on complex features related to image content. In order to extract these high level features, we relied on crowdsourcing, since computer vision algorithms are not yet sufficiently accurate for the features we needed. Our results underline the importance of some high level content features, e.g. the dress of the portrayed person and scene setting, in categorizing image.

Paper Details

Date Published: 17 March 2015
PDF: 6 pages
Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 93940D (17 March 2015); doi: 10.1117/12.2082817
Show Author Affiliations
F. Mazza, LUNAM, Ecole Centrale de Nantes, IRCCyN, CNRS (France)
M. P. Da Silva, LUNAM, Univ. de Nantes, IRCCyN, CNRS (France)
P. Le Callet, LUNAM, Univ. de Nantes, IRCCyN, CNRS (France)
I. E. J. Heynderickx, Technische Univ. Eindhoven (Netherlands)

Published in SPIE Proceedings Vol. 9394:
Human Vision and Electronic Imaging XX
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

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