Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Lopes, A. C., Gamito, M. & Dias, J. M. S. (2022). Wavelet compression and transmission of deformable surfaces over networks. In Madeira, J., Marques, J. S., Dias, M. S., and Jorge, J. A. (Ed.), Actas do 10º Encontro Português de Computação Gráfica. (pp. 107-114). Lisboa: The Eurographics Association.
Exportar Referência (IEEE) 
A. M. Lopes et al.,  "Wavelet compression and transmission of deformable surfaces over networks", in Actas do 10º Encontro Português de Computação Gráfica, Madeira, J., Marques, J. S., Dias, M. S., and Jorge, J. A., Ed., Lisboa, The Eurographics Association, 2022, pp. 107-114
Exportar BibTeX 
@inproceedings{lopes2022_1732414684256,
	author = "Lopes, A. C. and Gamito, M. and Dias, J. M. S.",
	title = "Wavelet compression and transmission of deformable surfaces over networks",
	booktitle = "Actas do 10º Encontro Português de Computação Gráfica",
	year = "2022",
	editor = "Madeira, J., Marques, J. S., Dias, M. S., and Jorge, J. A.",
	volume = "",
	number = "",
	series = "",
	doi = "10.2312/pt.20011321",
	pages = "107-114",
	publisher = "The Eurographics Association",
	address = "Lisboa",
	organization = "",
	url = "https://diglib.eg.org/handle/10.2312/pt20011321"
}
Exportar RIS 
TY  - CPAPER
TI  - Wavelet compression and transmission of deformable surfaces over networks
T2  - Actas do 10º Encontro Português de Computação Gráfica
AU  - Lopes, A. C.
AU  - Gamito, M.
AU  - Dias, J. M. S.
PY  - 2022
SP  - 107-114
DO  - 10.2312/pt.20011321
CY  - Lisboa
UR  - https://diglib.eg.org/handle/10.2312/pt20011321
AB  - An animation of a deformable surface with fixed topology is formed by a set of connected points (particles), which 
follow a trajectory over time. The transmission of such an animation is a task that consumes large amounts of 
bandwidth, as the position of each particle, in each time instant, needs to be transmitted. 
We propose a wavelet-based compression and streaming mechanism that allows the minimization of the size of the 
animation data, hence decreasing the total transmission time. The proposed transmission scheme, based on the time-localized feature of the wavelet transform, will be able to stream the animation so that a receiver can immediately 
view the fraction of the animation received while wavelet coefficients are still arriving. 
ER  -