| Texto completo | |
| Autor(es): |
de Lima, Vitor
;
Moreira, Thierry
;
Pedrini, Helio
;
Schwartz, William Robson
;
Imai, F
;
Tremeau, A
;
Braz, J
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 4; v. N/A, p. 10-pg., 2017-01-01. |
| Resumo | |
Video transmissions usually occur at a fixed or at a small number of predefined bit rates. This can lead to several problems in communication channels whose bandwidth can vary along time (e.g. wireless devices). This work proposes a video encoding method for solving such problems through a fine rate control that can be dynamically adjusted with low overhead. The encoder uses fractal compression and a simple rate distortion heuristic to preprocess the content in order to speed up the process of switching between different bit rates. Experimental results show that the proposed approach can accurately transcode a preprocessed video sequence into a large range of bit rates with a small computational overhead. (AU) | |
| Processo FAPESP: | 15/12228-1 - Detecção e reconhecimento de eventos complexos em vídeos |
| Beneficiário: | Hélio Pedrini |
| Modalidade de apoio: | Bolsas no Exterior - Pesquisa |
| Processo FAPESP: | 15/03156-7 - Reconhecimento de atividades em vídeos |
| Beneficiário: | Thierry Pinheiro Moreira |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |