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Bruno Zatt

4 accepted papers

2020

Spatially Adaptive Intra Mode Pre-Selection for ERP 360 Video Coding

Iago Storch, Bruno Zatt, Luciano Agostini, Guilherme Corrêa, Luís Alberto da Silva Cruz, Daniel Palomino
ICASSP 2020accepted

In this work, we propose a spatially adaptive HEVC intra mode pre-selection for equirectangular (ERP) 360 video coding. The proposed technique exploits the spatial characteristics of 360 video in the ERP projection to reduce the complexity of intra prediction mode selection. The number of intra mode…

Cited by 0Source ↗Scholar ↗
2019

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

Thiago Bubolz, Mateus Grellert, Bruno Zatt, Guilherme Corrêa
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…

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2018

Learning-Based Complexity Reduction and Scaling for HEVC Encoders

Mateus Grellert, Sergio Bampi, Guilherme Corrêa, Bruno Zatt, Luís Alberto da Silva Cruz
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…

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2018

Octagonal-Axis Raster Pattern for Improved Test Zone Search Motion Estimation

Paulo Goncalves, Marcelo Schiavon Porto, Bruno Zatt, Luciano Volcan Agostini, Guilherme Corrêa
ICASSP 2018accepted

Test Zone Search (TZS) is considered the current state-of-the-art fast Motion Estimation algorithm because it presents the best tradeoff between compression efficiency and complexity in comparison to the Full Search strategy. However, it is still one of the most computationally-demanding tools of cu…

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