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pro vyhledávání: '"Danillo B. Graziosi"'
Autor:
Danillo B. Graziosi
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Autor:
Alexis Michael Tourapis, Marius Preda, Kim Jungsun, Madhukar Budagavi, Mammou Khaled, Euee S. Jang, Sung-Ryeul Rhyu, Danillo B. Graziosi
Publikováno v:
IEEE Signal Processing Magazine
IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2019, 36 (3), pp.118-123. ⟨10.1109/MSP.2019.2900721⟩
IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2019, 36 (3), pp.118-123. ⟨10.1109/MSP.2019.2900721⟩
International audience; The widespread adoption of new 3D sensor and authoring technologies has made it possible to capture 3D scenes and models in real time with decent visual quality. As an example, Microsoft's Kinect and Apple's PrimeSense technol
Autor:
Danillo B. Graziosi, Bart Kroon
Publikováno v:
ICIP
New standards are emerging for the coding of volumetric 3D data such as immersive video and point clouds. Some of these volumetric encoders similarly utilize video codecs as the core of their compression approach, but apply different techniques to co
Publikováno v:
MMSP
For a V-PCC1 system to be able to reconstruct a single instance of the point cloud one V-PCC unit must be transferred to the 3D point cloud reconstruction module. It is however required that all the V-PCC components i.e. occupancy map, geometry, atla
Autor:
Ali Tabatabai, O. Nakagami, Danillo B. Graziosi, Alexandre Zaghetto, Teruhiko Suzuki, S. Kuma
Publikováno v:
APSIPA Transactions on Signal and Information Processing. 9
This article presents an overview of the recent standardization activities for point cloud compression (PCC). A point cloud is a 3D data representation used in diverse applications associated with immersive media including virtual/augmented reality,
Autor:
Sergio M. M. de Faria, Eduardo A. B. da Silva, Nuno M. M. Rodrigues, Murilo B. de Carvalho, Danillo B. Graziosi
Publikováno v:
IET Image Processing. 7:556-566
In this study, the authors investigate the use of multi-scale recurrent pattern matching paradigm for lossless image compression. The multi-scale multidimensional parser (MMP) algorithm is a successful implementation of this paradigm for lossy image
Full parallax light field displays require high pixel density and huge amounts of data. Compression is a necessary tool used by 3D display systems to cope with the high bandwidth requirements. One of the formats adopted by MPEG for 3D video coding st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c39a607387df62777e3f3ec3de6a165
Publikováno v:
SPIE Proceedings.
Full-parallax light field displays utilize a large volume of data and demand efficient real-time compression algorithms to be viable. Many compression techniques have been proposed. However, such solutions are impractical in bandwidth, processing or
Autor:
Eduardo A. B. da Silva, Carla L. Pagliari, Sergio M. M. de Faria, Danillo B. Graziosi, Nuno M. M. Rodrigues, Murilo B. de Carvalho
Publikováno v:
Anais de XXIX Simpósio Brasileiro de Telecomunicações.
Autor:
Eduardo A. B. da Silva, Danillo B. Graziosi, Nuno M. M. Rodrigues, Murilo B. de Carvalho, Sergio M. M. de Faria
Publikováno v:
ICIP
The Multidimensional Multiscale Parser-based (MMP) image coding algorithm, when combined with flexible partitioning and predictive coding techniques (MMP-FP), provides state-of-the-art performance. In this paper we investigate the use of adaptive lea