  End-to-end image and video compression using auto-encoders (AE) offers new
appealing perspectives in terms of rate-distortion gains and applications.
While most complex models are on par with the latest compression standard like
VVC/H.266 on objective metrics, practical implementation and complexity remain
strong issues for real-world applications. In this paper, we propose a
practical implementation suitable for realistic applications, leading to a
low-complexity model. We demonstrate that some gains can be achieved on top of
a state-of-the-art low-complexity AE, even when using simpler implementation.
Improvements include off-training entropy coding improvement and encoder side
Rate Distortion Optimized Quantization. Results show a 19% improvement in
BDrate on basic implementation of fully-factorized model, and 15.3% improvement
compared to the original implementation. The proposed implementation also
allows a direct integration of such approaches on a variety of platforms.
