Title: Visual quality assessment: Tools and applications Call for Papers

Title: Visual quality assessment: Tools and applications


Aims & topics: In the last decades, visual quality assessment becomes
a crucial step for several applications such as compression,
restoration, printing, biometrics, recognition and so on. Indeed,
images, video and 3D meshes are generally affected by different types
of degradations that impact the performance of the treatments applied
to the image. Itís thus necessary to dispose to an efficient tool
that well predicts the quality of the visual content. Three main
approaches have been proposed in the literature. Full-Reference
approach where the original image is exploited, No-Reference approach
where only the degraded image is used and the Reduced-Reference
approach where some characteristics of the original image are
used. Some of them are mathematical-based, while some others are
Perceptual-based or structural-based. The objective of this special
session is to provide an overview of this domain and some of its
applications and tools. The addressed topics in this special session
are fully related to the ATSIP 2017 conference with the following
themes (not exhaustive list):

* Image and video quality assessment

* 3D meshes quality assessment

* Quality for stereoscopic images and sequences

* Objective and subjective metrics

* Human Visual System inspired methods

* Perceptual metrics

* Saliency and visual attention

* Quality prediction methods

* Regression methods and quality

* Machine learning and quality

* Benchmarks for quality assessment

* Color and quality

Important dates

    Regular paper submission February, 15th, 2017
    Notification of acceptance April, 1st, 2017
    Camera ready paper April, 15th, 2017
    Registration Deadline May, 1st, 2017


* Aladine Chetouani (aladine.chetouani@univ-orleans.fr)

* Marius Pedersen (marius.pedersen@ntnu.no)

* Mohammed El Hassouni (Mohammed.Elhassouni@um5.ac.ma)