Machine learning compression

Research group on the applications of machine learning to compression

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