Machine learning compression

Research group on the applications of machine learning to compression

6/06/2019
by Marco Cagnazzo
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Seminar day

Three new exciting seminars will be given on June 7th, 2019. The program is the following : Place : Telecom-ParisTech, 46 rue Barrault, Paris. Room B567. 9h45h Welcome coffee 10h00-11h15 “Deep learning for Super Resolution and Tracking”, by Gianni Franchi, … Continue reading

27/02/2019
by Marco Cagnazzo
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Seminar: CABAC (entropy coding) in video compression standards and its potential improvement using deep learning

Bappaditya Ray, PhD student at Orange Labs and University of Poitiers, will give a talk on CABAC (entropy coding) in video compression standards and its potential improvement using deep learning. In particular, the implementation of CABAC in recent video standards such as HEVC and … Continue reading

4/02/2019
by Marco Cagnazzo
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Paper accepted in ICASSP

Our paper : L. Wang, A. Fiandrotti, A. Purica, G. Valenzise, M. Cagnazzo. « ENHANCING HEVC SPATIAL PREDICTION BY CONTEXT-BASED LEARNING » has been accepted for publication in the 2019 IEEE ICASSP conference