Luciano Volcan Agostini — accepted AI-conference papers

2018

Fast 3D-Hevc Depth Maps Intra-Frame Prediction Using Data Mining

Mário Saldanha, Gustavo Sanchez, César A. M. Marcon, Luciano Volcan Agostini

ICASSP 2018accepted

This paper presents a fast 3D-High Efficiency Video Coding (3D-HEVC) depth maps intra-frame prediction based on static Coding Unit (CU) splitting decisions trees. This coding approach uses data mining to extract the correlation among the encoder context attributes and to define a split decision tree…

Cited by 0 Source ↗Scholar ↗

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…

Cited by 0 Source ↗Scholar ↗