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Mateus Grellert

3 accepted papers

2021

Relying on a Rate Constraint to Reduce Motion Estimation Complexity

ICASSP 2021accepted

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 previous works that show that selected motion vectors are generally near the predictor to propose a solution that uses t…

Cited by 0SourceScholar
2019

Coding Tree Early Termination for Fast HEVC Transrating Based on Random Forests

ICASSP 2019accepted

Video transrating has become an essential task in streaming service providers that need to transmit and deliver different versions of the same content for a multitude of users that operate under different network conditions. As the transrating operation is comprised of a decoding and an encoding ste…

Cited by 0SourceScholar
2018

Learning-Based Complexity Reduction and Scaling for HEVC Encoders

ICASSP 2018accepted

This article proposes a fast Coding Unit (CU) partition decision for use in HEVC encoders based on Decision Tree classifiers. The trees are employed in a modified low-complexity encoder that implements a fast CU partition decision algorithm. Using the proposed method, an average complexity reduction…

Cited by 0SourceScholar