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检索条件"机构=Graduate Program in Computing - PPGC Video Technology Research Group"
36 条 记 录,以下是1-10 订阅
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Computational Cost Analysis and Reduction of VVC Multiple Transform Selection  16
Computational Cost Analysis and Reduction of VVC Multiple Tr...
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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025
作者: Camargo, Caroline Silveira, Bianca Correa, Guilherme Federal University of Pelotas - UFPel Video Technology Research Group - ViTech Graduate Program in Computing - Ppgc Pelotas Brazil
The growing demand for high-definition online videos emphasizes the need for efficient video codecs like H.266/VVC, which offer significant compression potential. However, its implementation presents challenges, parti... 详细信息
来源: 评论
Efficiency and complexity analysis of video-based and geometry-based point cloud encoders
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Journal of Real-Time Image Processing 2025年 第3期22卷 1-14页
作者: Santos, Cristiano Rehbein, Gustavo Costa, Eduardo Corrêa, Guilherme Porto, Marcelo Video Technology Research Group Graduate Program in Computing Universidade Federal de Pelotas RS Pelotas Brazil
3D point clouds are increasingly used in applications, such as 3D remapping, cultural heritage preservation, and virtual/augmented reality. Given their large data volume, efficient compression is crucial. The MPEG gro... 详细信息
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video Quality Enhancement Using Multi-Domain Spatio-Temporal Deformable Fusion  16
Video Quality Enhancement Using Multi-Domain Spatio-Temporal...
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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025
作者: Kreisler, Gilberto Da Silveira Junior, Garibaldi Zatt, Bruno Palomino, Daniel Correa, Guilherme Video Technology Research Group - ViTech Graduate Program in Computing - UFPel Pelotas Brazil
Lossy video compression introduces visual artifacts that degrade video quality, where deep neural networks (DNNs) are effective in enhancement. However, conventional DNN-based methods often focus on a single video com... 详细信息
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A Coding Efficiency-Aware Hardware Design for VVC Affine Motion Estimation Reconstructor
IEEE Design and Test
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IEEE Design and Test 2025年
作者: Muñoz, Marcello M. Maass, Denis Perleberg, Murilo Agostini, Luciano Corrêa, Guilherme Porto, Marcelo Graduate Program in Computing - PPGC Video Technology Research Group ViTech Federal University of Pelotas - UFPel Pelotas Brazil
One of the most important new tools of the Versatile video Coding (VVC) standard is the Affine Motion Estimation (AME). The AME contribution to the coding efficiency comes with a high computational cost, especially fo... 详细信息
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Computational Cost Analysis and Reduction of VVC Multiple Transform Selection
Computational Cost Analysis and Reduction of VVC Multiple Tr...
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IEEE Latin American Symposium on Circuits and Systems (LASCAS)
作者: Caroline Camargo Bianca Silveira Guilherme Correa Video Technology Research Group - ViTech Graduate Program in Computing - PPGC Federal University of Pelotas - UFPel Pelotas Brazil
The growing demand for high-definition online videos emphasizes the need for efficient video codecs like H.266/VVC, which offer significant compression potential. However, its implementation presents challenges, parti... 详细信息
来源: 评论
Evaluation of Coarse-to-Fine Spatio-Temporal Information Fusion (CF-STIF) Network
Evaluation of Coarse-to-Fine Spatio-Temporal Information Fus...
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IEEE Latin American Symposium on Circuits and Systems (LASCAS)
作者: Luis Carlos Linares Gilberto Kreisler Daniel Palomino Guilherme Corrêa Bruno Zatt Video Technology Research Group (ViTech) Graduate Program in Computing (PPGC) Federal University of Pelotas (UFPel) Pelotas Brazil
This paper presents an evaluation of the Coarse-to-Fine Spatio-Temporal Information Fusion (CF-STIF) network for enhancing the quality of compressed videos across multiple codecs, including HEVC, VVC, VP9, and AV1. Th... 详细信息
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Fast VVC Test Zone Search and Affine Motion Estimation Using Machine Learning
Fast VVC Test Zone Search and Affine Motion Estimation Using...
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IEEE Latin American Symposium on Circuits and Systems (LASCAS)
作者: Ramiro Viana Marta Loose Ruhan Conceição Marcelo Porto Guilherme Corrêa Luciano Agostini Video Technology Research Group (ViTech) Graduate Program in Computing (PPGC) Federal University of Pelotas (UFPel) Pelotas/RS Brazil
As the demand for video transmission surges on remote work, education, and streaming services, the need for continuous advancements in video encoding technologies becomes increasingly evident. Adapting to the evolving... 详细信息
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FIFS: A Machine Learning-Based Fast AV1 Interpolation Filter Search
FIFS: A Machine Learning-Based Fast AV1 Interpolation Filter...
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IEEE Latin American Symposium on Circuits and Systems (LASCAS)
作者: William Kolodziejski Marcelo Porto Luciano Agostini Video Technology Research Group (ViTech) Graduate Program in Computing (PPGC) Federal University of Pelotas (UFPel) Pelotas RS Brazil
AV1 is a codec developed by huge technology companies to be used in current and future commercial video applications. It introduces and improves several tools from its predecessor VP9, designed for various video scena... 详细信息
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Multi-Codec video Quality Enhancement Model Based on Spatio- Temporal Deformable Fusion
Multi-Codec Video Quality Enhancement Model Based on Spatio-...
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IEEE Latin American Symposium on Circuits and Systems (LASCAS)
作者: Gilberto Kreisler Garibaldi Da Silveira Bruno Zatt Daniel Palomino Guilherme Corrêa Video Technology Research Group (ViTech) Graduate Program in Computing (PPGC) Federal University of Pelotas (UFPel) Pelotas Brazil
The popularization of mobile phones and other multimedia portable devices paved the way for the increase in video consumption worldwide. However, it is impossible to transmit a non-compressed video due to the high ban...
来源: 评论
Neural Network Based Light Field Predictors: An Evaluation
Neural Network Based Light Field Predictors: An Evaluation
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IEEE Latin American Symposium on Circuits and Systems (LASCAS)
作者: Matheus Jahnke Ítalo D. Machado Lucas Ikenoue Bruno Zatt Video Technology Research Group (ViTech) Graduate Program in Computing (PPGC) Federal University of Pelotas (UFPel) Pelotas Brazil
Processing and storing the 4D structure of light fields can be challenging and expensive due to the high-dimensional data and its unique characteristics. There are plenty of works employing convolutional neural networ...
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