There are numerous situations where images need to be auto-adapted into different sizes and
compositions. For instance, the increasing diversity of visual display devices (especially mobile
ones) has demanded for effective image adaptation (retargeting) for a given aspect ratio; automatic
(or semi-automatic) image editing is required for Photoshop (and other similar tools), native
advertising, webpage content creation, post-processing of TV/movies, VR/AR scenarios, etc; there
will be also future possibilities for reducing the amount of visual data transmitted over the
wireless network (with low bit-rates) while ensuring the required accuracy for a specific AI task.
To date, there is not a single image retargeting method that works consistently well for all visual
content, and this call for effective, objective image retargeting quality assessment (IRQA) to be
developed for on-line benchmarking and then selecting the best retargeting scheme dynamically at
servers; furthermore, IRQA facilitates the advancement of image retargeting techniques themselves.
In this talk, a new IRQA methodology is presented, being able to predict the perceived retargeting
quality by proper evaluation of salient content loss and visual distortion. Its key contribution
lies in dense correspondence (DC) estimation and multi-level feature (MLF) fusion: the former makes
IRQA truly full-reference assessment for the first time, while the latter enables better agreement
with human appreciation and adjustment.
Lin Weisi is an active researcher in image processing, perception-based signal modelling and
assessment, video compression, and multimedia communication systems. In the said areas, he has
published 180+ international journal papers and 230+ international conference papers, 7 patents, 9
book chapters, 2 authored books and 3 edited books, as well as excellent track record in leading
and delivering more than 10 major funded projects (with over S$7m research funding). He earned his
Ph.D from King’s College, University of London. He had been the Lab Head, Visual Processing,
Institute for Infocomm Research (I2R). He is a Professor in School of Computer Science and
Engineering, Nanyang Technological University, where he served as the Associate Chair (Graduate
Studies) in 2013-2014.
University of Konstanz, Universitätsstr. 10, Konstanz
Unfortunately, the talk will not be transmitted to Stuttgart and Tübingen.