Call for Papers

ICPR2020 Workshop on 
Metrification and Optimization of Input Image Quality in Deep Networks 

DATES: Paper submission: 10 October 2020

Notification: 10 November 2020

Camera ready: 15 November 2020

Workshop: 11 January 2021


CALL FOR PAPERS:

Recent years have seen significant advances in image processing and
computer vision applications based on Deep Neural Networks
(DNNs). Often deep neural networks for such applications are trained
and validated based on the assumption that the images are
artefact-free. However, in most real-time embedded system applications
the images input to the networks, in addition to any variations of
external conditions, have artefacts introduced by the Image Signal
Processing (ISP) pipelines.

Despite recent advances in interpretability and explainability of deep
neural models, DNNs remain widely systems whose operational boundaries
cannot be explained or otherwise quantified. It is therefore not clear
the level of ISP distortions critical networks can tolerate, or the
exact reasons for any performance degradation.

This workshop addresses the issues of performance quantification in
DNNs and explore recent advances in the systematic analysis of the
performance of deep neural networks with respect to degradations in
the input image quality due to the ISP pipeline and their proposed
solutions.

Topics of interest include (but are not limited) to:

    Case studies investigating the performance of deep neural networks
    with respect to change in input image quality

    Operational boundaries of DNNs with respect to input image quality

    Input image quality metrics for deep neural networks

    Optimisation of physical camera parameters and ISP pipelines for
    integrated DNNs embedded systems

    Architectural structures of DNNs for optimising integrated ISP
    embedded systems

 

PAPER SUBMISSON:

 

Submissions must be formatted in accordance with the Springer's
Computer Science Proceedings guidelines.
https://www.google.com/url?q=https%3A%2F%2Fwww.springer.com%2Fgp%2Fcomputer-science%2Flncs%2Fconference-proceedings-guidelines&sa=D&sntz=1&usg=AFQjCNEKfHG_OWF-xZf2IZYd9nHgFBcftQ

The following paper categories are welcome:

    Full papers (12-15 pages, including references)
    Short papers (6-8 pages, including references)

    Accepted manuscripts will be included in the ICPR 2020 Workshop
    Proceedings Springer volume.

    Once accepted, at least one author is expected to attend the event
    and orally present the paper.

    Papers can be submitted using Microsoft CMT
    https://cmt3.research.microsoft.com/MOI2QDN2021
 

ORGANIZERS:

For any information please sent an email to one of the organisers:

Alexandra Psarrou 

Sophie Triantaphillidou 

Markos Mentzelopoulos