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Artigo de periodico
Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning (2025)
Souza, Thais Luiza Donega e ; Ranieri, Caetano Mazzoni ; Panangadan, Anand ; Ueyama, Jó ; Nishijima, Marislei
Fonte: Multimedia Tools and Applications. Unidades: ICMC, IRI, EACH
Assuntos: REDES NEURAIS, CINEMA, CARTAZ, QUALIDADE DO PRODUTO, APRENDIZAGEM PROFUNDA, DESIGN GRÁFICO, PROPAGANDA PELO CINEMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Thais Luiza Donega e et al. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning. Multimedia Tools and Applications, v. 84, p. 26877–26905, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11042-024-20174-2. Acesso em: 11 nov. 2025.
APA
Souza, T. L. D. e, Ranieri, C. M., Panangadan, A., Ueyama, J., & Nishijima, M. (2025). Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning. Multimedia Tools and Applications, 84, 26877–26905. doi:10.1007/s11042-024-20174-2
NLM
Souza TLD e, Ranieri CM, Panangadan A, Ueyama J, Nishijima M. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning [Internet]. Multimedia Tools and Applications. 2025 ; 84 26877–26905.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
Vancouver
Souza TLD e, Ranieri CM, Panangadan A, Ueyama J, Nishijima M. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning [Internet]. Multimedia Tools and Applications. 2025 ; 84 26877–26905.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
Artigo de periodico
A river flooding detection system based on deep learning and computer vision (2022)
Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ueyama, Jó
Fonte: Multimedia Tools and Applications. Unidade: ICMC
Assuntos: VISÃO COMPUTACIONAL, ENCHENTES URBANAS, SEMÂNTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES JUNIOR, Francisco Erivaldo e NONATO, Luis Gustavo e UEYAMA, Jó. A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, v. 81, p. 40231-40251, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12813-3. Acesso em: 11 nov. 2025.
APA
Fernandes Junior, F. E., Nonato, L. G., & Ueyama, J. (2022). A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, 81, 40231-40251. doi:10.1007/s11042-022-12813-3
NLM
Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
Vancouver
Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
Artigo de periodico
Human gait recognition using extraction and fusion of global motion features (2011)
Arantes, Milene; Gonzaga, Adilson
Fonte: Multimedia Tools and Applications. Unidade: EESC
Assuntos: BIOMETRIA, MARCHA (LOCOMOÇÃO) (ANÁLISE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARANTES, Milene e GONZAGA, Adilson. Human gait recognition using extraction and fusion of global motion features. Multimedia Tools and Applications, v. 55, n. 3, p. 655-675, 2011Tradução . . Disponível em: https://doi.org/10.1007/s11042-010-0587-y. Acesso em: 11 nov. 2025.
APA
Arantes, M., & Gonzaga, A. (2011). Human gait recognition using extraction and fusion of global motion features. Multimedia Tools and Applications, 55( 3), 655-675. doi:10.1007/s11042-010-0587-y
NLM
Arantes M, Gonzaga A. Human gait recognition using extraction and fusion of global motion features [Internet]. Multimedia Tools and Applications. 2011 ; 55( 3): 655-675.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-010-0587-y
Vancouver
Arantes M, Gonzaga A. Human gait recognition using extraction and fusion of global motion features [Internet]. Multimedia Tools and Applications. 2011 ; 55( 3): 655-675.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-010-0587-y
Artigo de periodico
Automatically linking live experiences captured with a ubiquitous infrastructure (2008)
Macedo, Alessandra Alaniz; Baldochi Júnior, Laércio; Camacho-Guerrero, José A.; Cattelan, Renan G.; Pimentel, Maria da Graça Campos
Fonte: Multimedia Tools and Applications. Unidades: FFCLRP, ICMC
Assunto: HIPERMÍDIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACEDO, Alessandra Alaniz et al. Automatically linking live experiences captured with a ubiquitous infrastructure. Multimedia Tools and Applications, v. 37, p. 93-115, 2008Tradução . . Disponível em: https://doi.org/10.1007/s11042-007-0131-x. Acesso em: 11 nov. 2025.
APA
Macedo, A. A., Baldochi Júnior, L., Camacho-Guerrero, J. A., Cattelan, R. G., & Pimentel, M. da G. C. (2008). Automatically linking live experiences captured with a ubiquitous infrastructure. Multimedia Tools and Applications, 37, 93-115. doi:10.1007/s11042-007-0131-x
NLM
Macedo AA, Baldochi Júnior L, Camacho-Guerrero JA, Cattelan RG, Pimentel M da GC. Automatically linking live experiences captured with a ubiquitous infrastructure [Internet]. Multimedia Tools and Applications. 2008 ; 37 93-115.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-007-0131-x
Vancouver
Macedo AA, Baldochi Júnior L, Camacho-Guerrero JA, Cattelan RG, Pimentel M da GC. Automatically linking live experiences captured with a ubiquitous infrastructure [Internet]. Multimedia Tools and Applications. 2008 ; 37 93-115.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-007-0131-x

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