Exploiting Contextual Information for Image Re-Ranking and Rank Aggregation in Image Retrieval Tasks

  • Daniel Carlos Guimarães Pedronette UNICAMP
  • Ricardo da S. Torres UNICAMP

Resumo

Em Sistemas de Recuperação de Images baseados no Conteúdo, a ordenação eficaz de imagens de uma coleção é de grande relevância, já que usuários estão interessados nas imagens retornadas nas primeiras posições. Entretanto, geralmente, estes sistemas analisam apenas pares de imagens para a geração das listas de resultados, ignorando importantes informações codificadas nos relacionamentos entre as imagens. Em contrapartida, a percepção dos usuários usualmente considera a especificação da consulta e os resultados em um dado contexto. Esse trabalho de doutorado propôs cinco novos algoritmos de re-ranking e rank aggregation com o objetivo de explorar informação contextual para melhorar a eficácia de sistemas de CBIR. Foram propostas também abordagens para combinar os métodos de re-ranking e rank aggregation e para executar eficientemente os métodos propostos em GPUs.

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Pedronette, D. C. G., da S. Torres, R., and Tripodi, R. C. (2013c). Using contextual spaces for image re-ranking and rank aggregation. Multimedia Tools and Applications. To appear, On-Line.
Publicado
2013-07-23
Como Citar
PEDRONETTE, Daniel Carlos Guimarães; TORRES, Ricardo da S.. Exploiting Contextual Information for Image Re-Ranking and Rank Aggregation in Image Retrieval Tasks. Anais do Concurso de Teses e Dissertações (CTD), [S.l.], p. 11-16, jul. 2013. ISSN 2763-8820. Disponível em: <https://sol.sbc.org.br/index.php/ctd/article/view/27619>. Acesso em: 15 maio 2024.