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An interview with Judith Redi

An interview with Judith Redi Volume 8, Issue 3, October 2016 (ISSN 1947-4598) SIGMM Records . Volume 8, Issue 3, October 2016 (ISSN 1947-4598) An interview with Judith Redi Describe your journey into computing from your youth up to the present. What foundational lessons did you learn from this journey? Why were you initially attracted to multimedia? Turing on their desk or above their bed). I specialized in machine learning and applied it to cryptanalysis within my master thesis. I won a scholarship to continue that research line in a PhD project at the University of Genoa. And then Philips came along, and multimedia with it. At the time (2007), Philips was still manufacturing displays, and to stay ahead of the competition, they had to make sure their products would deliver to users the highest possible visual quality. They had algorithms to enhance image quality, but needed a system able to understand how much enhancement was needed, and of which type (sharpening? De-noising?), based on the analysis on the incoming video signal. They wanted to try a machine-learning approach to this issue, and referred to my group for collaboration. I picked up the project immediately: the goal was to model human vision (or http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGMultimedia Records Association for Computing Machinery

An interview with Judith Redi

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2016 by ACM Inc.
ISSN
1947-4598
DOI
10.1145/3015445.3015446
Publisher site
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Abstract

Volume 8, Issue 3, October 2016 (ISSN 1947-4598) SIGMM Records . Volume 8, Issue 3, October 2016 (ISSN 1947-4598) An interview with Judith Redi Describe your journey into computing from your youth up to the present. What foundational lessons did you learn from this journey? Why were you initially attracted to multimedia? Turing on their desk or above their bed). I specialized in machine learning and applied it to cryptanalysis within my master thesis. I won a scholarship to continue that research line in a PhD project at the University of Genoa. And then Philips came along, and multimedia with it. At the time (2007), Philips was still manufacturing displays, and to stay ahead of the competition, they had to make sure their products would deliver to users the highest possible visual quality. They had algorithms to enhance image quality, but needed a system able to understand how much enhancement was needed, and of which type (sharpening? De-noising?), based on the analysis on the incoming video signal. They wanted to try a machine-learning approach to this issue, and referred to my group for collaboration. I picked up the project immediately: the goal was to model human vision (or

Journal

ACM SIGMultimedia Records – Association for Computing Machinery

Published: Nov 4, 2016

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