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eess.IV2021
Quality and Complexity Assessment of Learning-Based Image Compression Solutions
João Dick, Brunno Abreu, Mateus Grellert +1
This work presents an analysis of state-of-the-art learning-based image compression techniques. We compare 8 models available in the Tensorflow Compression package in terms of visu…
eess.IV2021
Relying on a rate constraint to reduce Motion Estimation complexity
Gabriel B. Sant'Anna, Luiz Henrique Cancellier, Ismael Seidel +2
This paper proposes a rate-based candidate elimination strategy for Motion Estimation, which is considered one of the main sources of encoder complexity. We build from findings of…