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