Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Vanessa Testoni"'
Autor:
Gustavo De Oliveira Alves, Murilo Bresciani De Carvalho, Carla L. Pagliari, Pedro Garcia Freitas, Ismael Seidel, Marcio Pinto Pereira, Carla Florentino Schueler Vieira, Vanessa Testoni, Fernando Pereira, Eduardo A. B. Da Silva
Publikováno v:
IEEE Access, Vol 8, Pp 170807-170829 (2020)
The increasing demand for highly realistic and immersive visual experiences has led to the emergence of richer 3D visual representation models such as light fields, point clouds and meshes. Light fields may be modelled as a 2D array of 2D views, corr
Externí odkaz:
https://doaj.org/article/88db691b5aa947c1bf76c8cc481eff46
Publikováno v:
Journal of Network and Computer Applications. 212:103581
Autor:
Diogo C. Garcia, Camilo Dorea, Renan U. B. Ferreira, Davi R. Freitas, Ricardo L. de Queiroz, Rogerio Higa, Ismael Seidel, Vanessa Testoni
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 31
Point cloud compression has been studied in standard bodies and we are here concerned with the Moving Picture Experts Group video-based point cloud compression (V-PCC) solution. Plenoptic point clouds (PPC) is a novel volumetric data representation w
Autor:
Matheus C. de Oliveira, Luiz G. R. Martins, Henrique Costa Jung, Nilson Donizete Guerin, Renam Castro da Silva, Eduardo Peixoto, Bruno Macchiavello, Edson M. Hung, Vanessa Testoni, Pedro Garcia Freitas
Publikováno v:
2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).
Autor:
Vanessa Testoni, Davi R. Freitas, Diogo C. Garcia, Renan U. Ferreira, Rogerio Higa, Ricardo L. de Queiroz, Ismael Seidel, Camilo Dorea
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Autor:
Eduardo Valle, Vanessa Testoni, Sandra Avila, Anderson Rocha, Mauricio Perez, Daniel Moraes, Siome Goldenstein, Daniel Moreira
Publikováno v:
Information Fusion. 45:307-323
The very idea of hiring humans to avoid the indiscriminate spread of inappropriate sensitive content online (e.g., child pornography and violence) is daunting. The inherent data deluge and the tediousness of the task call for more adequate approaches
Autor:
Vanessa Testoni, Teofilo de Campos, Eduardo Peixoto, Nilson Donizete Guerin, Edson M. Hung, Henrique Costa Jung, Bruno Macchiavello, Raphael Soares Ramos, Pedro Garcia Freitas, Renam Castro da Silva
Publikováno v:
ICIP
In recent years image compression techniques based on deep learning have achieved great success and their performances are gradually reaching the methods crafted by experts, such as JPEG, WebP, and Better Portable Graphics (BPG). A technique that is
Autor:
Renam Castro da Silva, Henrique C. Jung, Luiz Gustavo R. Martins, Eduardo Peixoto, Pedro Garcia Freitas, Edson M. Hung, Vanessa Testoni, Matheus C. de Oliveira, Bruno Macchiavello, Nilson Donizete Guerin
Publikováno v:
Signal Processing: Image Communication. 101:116544
Rate control is a desirable feature, sometimes a requirement, for several applications in still image coding. Usually, the objective is to achieve rate control for every input data with minimal impact on rate–distortion performance. However, this t
Autor:
Bruno Macchiavello, Pedro Garcia Freitas, Edson M. Hung, Renam Castro da Silva, Pedro Sanches, Vanessa Testoni, Henrique Costa Jung, Eduardo Peixoto, Nilson Donizete Guerin
Publikováno v:
CVPR Workshops
This paper proposes an inter-frame prediction frame encoding for the P-frame video compression challenge of the Workshop and Challenge on Learned Image Compression (CLIC). For this challenge, we use an uncompressed reference (previous) frame to compr
Autor:
Daniel Moraes, Eduardo Valle, Vanessa Testoni, Anderson Rocha, Sandra Avila, Daniel Moreira, Siome Goldenstein, Mauricio Perez
Publikováno v:
Neurocomputing. 230:279-293
Recent literature has explored automated pornographic detection - a bold move to replace humans in the tedious task of moderating online content. Unfortunately, on scenes with high skin exposure, such as people sunbathing and wrestling, the state of