| Texto completo | |
| Autor(es): |
Papa, Joao Paulo
;
Rocha, Anderson
;
IEEE
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP); v. N/A, p. 4-pg., 2011-01-01. |
| Resumo | |
Different from the first attempts to solve the image categorization problem (often based on global features), recently, several researchers have been tackling this research branch through a new vantage point - using features around locally invariant interest points and visual dictionaries. Although several advances have been done in the visual dictionaries literature in the past few years, a problem we still need to cope with is calculation of the number of representative words in the dictionary. Therefore, in this paper we introduce a new solution for automatically finding the number of visual words in an N -Way image categorization problem by means of supervised pattern classification based on optimum-path forest. (AU) | |
| Processo FAPESP: | 09/16206-1 - Novas tendências em reconhecimento de padrões baseado em floresta de caminhos ótimos |
| Beneficiário: | João Paulo Papa |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |
| Processo FAPESP: | 10/05647-4 - Computação forense e criminalística de documentos: coleta, organização, classificação e análise de evidências |
| Beneficiário: | Anderson de Rezende Rocha |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |