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Visual print quality evaluation using computational features


Publication Details
Authors: Eerola Tuomas, Kämäräinen Joni-Kristian, Lensu Lasse, Kälviäinen Heikki
Editors of book: George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Syeda-Mahmood Tanveer, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, and Tom Malzbender
Publisher: Springer Verlag (Germany): Series
Publication year: 2007
Language: English
Related Journal or Series Information: Lecture Notes in Computer Science
Title of parent publication: Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007
Journal acronym: LNCS
ISSN: 0302-9743
eISSN: 1611-3349
JUFO-Level of this publication:
Open Access: Not an Open Access publication

Abstract
The ultimate print quality evaluation is always based on end-users' "quality experience", and therefore, the main challenge in automatic evaluation is to model the visual path and cognition process from physical properties to the experience. The present efforts to automate print quality evaluation have been concentrated on automating the current manually-performed assesments, which reduces the laborious work, but does not provide any novel information. In this work, a new approach for automating the evaluation is proposed and the approach is utilised by defining new computational level features which are able to explain visual quality evaluations performed by human experts.

Last updated on 2017-08-06 at 16:53

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