Video enhancement with convex optimization methods

Abstract : Video enhancement methods enable to optimize the viewing of video content at the end-user side. Most approaches do not consider the compressed nature of the available content. In the present work, we build upon a recently proposed video enhancement approach that explicitly models a compression stage. To apply the enhancement framework on compressed representations requires to extract specific syntax elements during their decoding. This additional information embeds the enhanced result in a domain that closely fits the observation. We evaluate the framework performance in a single source resolution enhancement scenario, and show the method efficiency with respect to state-of-the-art approaches.
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https://hal.archives-ouvertes.fr/hal-01698173
Contributor : Frédéric Dufaux <>
Submitted on : Wednesday, January 31, 2018 - 11:37:05 PM
Last modification on : Wednesday, February 20, 2019 - 1:28:48 AM

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Benoit Boyadjis, Andrei Purica, Béatrice Pesquet-Popescu, Frédéric Dufaux. Video enhancement with convex optimization methods. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada. ⟨10.1109/icassp.2018.8462357 ⟩. ⟨hal-01698173⟩

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