A4 Conference proceedings

Visual Saliency and Categorisation of Abstract Images

Publication Details
Authors: Laine-Hernandez Mari, Kinnunen Teemu, Kämäräinen Joni-Kristian, Lensu Lasse, Kälviäinen Heikki, Oittinen Pirkko
Publication year: 2012
Language: English
Related Journal or Series Information: International Conference on Pattern Recognition
ISBN: 978-1-4673-2216-4
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

Visual object categorisation problem has attracted significant attention during the last ten years, and the two main hypotheses adopted by virtually all methods are i) detection of visual saliency and ii) bag-of-visual-words based categorisation. It is, however, difficult to verify the hypotheses with humans since many recordings, such as gaze fixation locations, represent processing after the recognition and the object classification task is too easy for humans producing no information about uncertainties in the cognitive process. To the authors’ best knowledge, this work is the first attempt to study the main hypotheses and state-ofthe- art algorithms for visual object categorisation with abstract images. These images inhibit rapid recognition and cause the observers’ opinions differ substantially in assigning the images into “similar categories”. Our work reveals interesting findings: the state-of-theart methods’ performances drop to almost pure chance while human observers remain surprisingly consistent.

Last updated on 2017-22-03 at 15:04