Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method (2015)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC
- Unidade: ICMC
- DOI: 10.1109/ISM.2015.115
- Subjects: BANCO DE DADOS; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2015
- Source:
- Título: Proceedings
- Conference titles: IEEE International Symposium on Multimedia - ISM
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SANTOS, Lucio F. D et al. Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/ISM.2015.115. Acesso em: 02 fev. 2026. -
APA
Santos, L. F. D., Dias, R. L., Ribeiro, M. X., Traina, A. J. M., & Traina Junior, C. (2015). Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method. In Proceedings. Piscataway: IEEE. doi:10.1109/ISM.2015.115 -
NLM
Santos LFD, Dias RL, Ribeiro MX, Traina AJM, Traina Junior C. Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method [Internet]. Proceedings. 2015 ;[citado 2026 fev. 02 ] Available from: https://doi.org/10.1109/ISM.2015.115 -
Vancouver
Santos LFD, Dias RL, Ribeiro MX, Traina AJM, Traina Junior C. Combining diversity queries and visual mining to improve content-based image retrieval systems: the DiVI method [Internet]. Proceedings. 2015 ;[citado 2026 fev. 02 ] Available from: https://doi.org/10.1109/ISM.2015.115 - Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms
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- Distance functions association for content-based image retrieval using multiple comparison criteria
- DBM-tree
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- Support to content-based image query in object-oriented databases
- Efficient bulk-loading on dynamic metric access methods
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Informações sobre o DOI: 10.1109/ISM.2015.115 (Fonte: oaDOI API)
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