Deep Multiple Description Coding by Learning Scalar Quantization
Published in arXiv (Cornell University) • Nov 5, 2018
NobleIDNI3P46W94R05S95
Authors:,,
Lijun Zhao
Huihui Bai
Anhong Wang
Abstract
In this paper, we propose a deep multiple description coding framework, whose quantizers are adaptively learned via the minimization of multiple description compressive loss. Firstly, our framework is built upon auto-encoder networks, which have multiple description multi-scale dilated encoder netwo...
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