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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
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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: 07 out. 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 out. 07 ] 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 out. 07 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
Artigo de periodico
Concept drift adaptation in video surveillance: a systematic review (2024)
Goncalves, Vinicius P. M.; Silva, Lourival P.; Marques, Fátima de Lourdes dos Santos Nunes ; Ferreira, João Eduardo ; Araújo, Luciano Vieira de
Fonte: Multimedia Tools and Applications. Unidades: STI, IME, EACH
Assuntos: SEGURANÇA PÚBLICA, GRAVAÇÃO DE VÍDEO
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GONCALVES, Vinicius P. M. et al. Concept drift adaptation in video surveillance: a systematic review. Multimedia Tools and Applications, v. 83, n. 4, p. 9997-10037, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-15855-3. Acesso em: 07 out. 2025.
APA
Goncalves, V. P. M., Silva, L. P., Marques, F. de L. dos S. N., Ferreira, J. E., & Araújo, L. V. de. (2024). Concept drift adaptation in video surveillance: a systematic review. Multimedia Tools and Applications, 83( 4), 9997-10037. doi:10.1007/s11042-023-15855-3
NLM
Goncalves VPM, Silva LP, Marques F de L dos SN, Ferreira JE, Araújo LV de. Concept drift adaptation in video surveillance: a systematic review [Internet]. Multimedia Tools and Applications. 2024 ; 83( 4): 9997-10037.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-15855-3
Vancouver
Goncalves VPM, Silva LP, Marques F de L dos SN, Ferreira JE, Araújo LV de. Concept drift adaptation in video surveillance: a systematic review [Internet]. Multimedia Tools and Applications. 2024 ; 83( 4): 9997-10037.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-15855-3
Artigo de periodico
Automatic generation of difficulty maps for datasets using neural network (2024)
Sanches, Silvio Ricardo Rodrigues ; Custódio Junior, Elton ; Corrêa, Cleber Gimenez ; Oliveira, Claiton ; Silva, Valdinei Freire da ; Saito, Priscila Tiemi Maeda ; Bugatti, Pedro Henrique
Fonte: Multimedia Tools and Applications. Unidade: EACH
Assunto: INTELIGÊNCIA ARTIFICIAL
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SANCHES, Silvio Ricardo Rodrigues et al. Automatic generation of difficulty maps for datasets using neural network. Multimedia Tools and Applications, n. Ja 2024, p. 01-18, 2024Tradução . . Disponível em: http://dx.doi.org/10.1007/s11042-024-18271-3. Acesso em: 07 out. 2025.
APA
Sanches, S. R. R., Custódio Junior, E., Corrêa, C. G., Oliveira, C., Silva, V. F. da, Saito, P. T. M., & Bugatti, P. H. (2024). Automatic generation of difficulty maps for datasets using neural network. Multimedia Tools and Applications, ( Ja 2024), 01-18. doi:10.1007/s11042-024-18271-3
NLM
Sanches SRR, Custódio Junior E, Corrêa CG, Oliveira C, Silva VF da, Saito PTM, Bugatti PH. Automatic generation of difficulty maps for datasets using neural network [Internet]. Multimedia Tools and Applications. 2024 ;( Ja 2024): 01-18.[citado 2025 out. 07 ] Available from: http://dx.doi.org/10.1007/s11042-024-18271-3
Vancouver
Sanches SRR, Custódio Junior E, Corrêa CG, Oliveira C, Silva VF da, Saito PTM, Bugatti PH. Automatic generation of difficulty maps for datasets using neural network [Internet]. Multimedia Tools and Applications. 2024 ;( Ja 2024): 01-18.[citado 2025 out. 07 ] Available from: http://dx.doi.org/10.1007/s11042-024-18271-3
Artigo de periodico
Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets (2024)
Spolaôr, Newton ; Lee, Huei Diana ; Mendes, Ana Isabel; Nogueira, Conceição Veloso; Parmezan, Antonio Rafael Sabino ; Takaki, Weber Shoity Resende ; Coy, Claudio Saddy Rodrigues ; Wu, Feng Chung; Fonseca-Pinto, Rui
Fonte: Multimedia Tools and Applications. Unidade: ICMC
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, NEOPLASIAS CUTÂNEAS
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SPOLAÔR, Newton et al. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multimedia Tools and Applications, v. 83, n. 9, p. 27305-27329, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-16529-w. Acesso em: 07 out. 2025.
APA
Spolaôr, N., Lee, H. D., Mendes, A. I., Nogueira, C. V., Parmezan, A. R. S., Takaki, W. S. R., et al. (2024). Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multimedia Tools and Applications, 83( 9), 27305-27329. doi:10.1007/s11042-023-16529-w
NLM
Spolaôr N, Lee HD, Mendes AI, Nogueira CV, Parmezan ARS, Takaki WSR, Coy CSR, Wu FC, Fonseca-Pinto R. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets [Internet]. Multimedia Tools and Applications. 2024 ; 83( 9): 27305-27329.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-16529-w
Vancouver
Spolaôr N, Lee HD, Mendes AI, Nogueira CV, Parmezan ARS, Takaki WSR, Coy CSR, Wu FC, Fonseca-Pinto R. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets [Internet]. Multimedia Tools and Applications. 2024 ; 83( 9): 27305-27329.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-16529-w
Artigo de periodico
Canonical correlation and visual analytics for water resources analysis (2024)
Bybordi, Arezoo ; Thampan, Terri; Linhares, Claudio Douglas Gouveia ; Ponciano, Jean Roberto ; Travençolo, Bruno Augusto Nassif ; Paiva, José Gustavo de Souza ; Etemadpour, Ronak
Fonte: Multimedia Tools and Applications. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, VISUALIZAÇÃO, RECURSOS HÍDRICOS, CLIMA
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BYBORDI, Arezoo et al. Canonical correlation and visual analytics for water resources analysis. Multimedia Tools and Applications, v. 83, n. 11, p. 32453-32473, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-16926-1. Acesso em: 07 out. 2025.
APA
Bybordi, A., Thampan, T., Linhares, C. D. G., Ponciano, J. R., Travençolo, B. A. N., Paiva, J. G. de S., & Etemadpour, R. (2024). Canonical correlation and visual analytics for water resources analysis. Multimedia Tools and Applications, 83( 11), 32453-32473. doi:10.1007/s11042-023-16926-1
NLM
Bybordi A, Thampan T, Linhares CDG, Ponciano JR, Travençolo BAN, Paiva JG de S, Etemadpour R. Canonical correlation and visual analytics for water resources analysis [Internet]. Multimedia Tools and Applications. 2024 ; 83( 11): 32453-32473.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-16926-1
Vancouver
Bybordi A, Thampan T, Linhares CDG, Ponciano JR, Travençolo BAN, Paiva JG de S, Etemadpour R. Canonical correlation and visual analytics for water resources analysis [Internet]. Multimedia Tools and Applications. 2024 ; 83( 11): 32453-32473.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-16926-1
Artigo de periodico
Revisiting predictions of movie economic success: random Forest applied to profits (2023)
Souza, Thais Luiza Donega e ; Nishijima, Marislei ; Pires, Ricardo
Fonte: Multimedia Tools and Applications. Unidades: IRI, EACH
Assuntos: INDÚSTRIA CINEMATOGRÁFICA, PRODUÇÃO CINEMATOGRÁFICA, APRENDIZADO COMPUTACIONAL, SUCESSO NOS NEGÓCIOS
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SOUZA, Thais Luiza Donega e e NISHIJIMA, Marislei e PIRES, Ricardo. Revisiting predictions of movie economic success: random Forest applied to profits. Multimedia Tools and Applications, p. 1-24, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-15169-4. Acesso em: 07 out. 2025.
APA
Souza, T. L. D. e, Nishijima, M., & Pires, R. (2023). Revisiting predictions of movie economic success: random Forest applied to profits. Multimedia Tools and Applications, 1-24. doi:10.1007/s11042-023-15169-4
NLM
Souza TLD e, Nishijima M, Pires R. Revisiting predictions of movie economic success: random Forest applied to profits [Internet]. Multimedia Tools and Applications. 2023 ; 1-24.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-15169-4
Vancouver
Souza TLD e, Nishijima M, Pires R. Revisiting predictions of movie economic success: random Forest applied to profits [Internet]. Multimedia Tools and Applications. 2023 ; 1-24.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-15169-4
Artigo de periodico
Multimodal early fusion operators for temporal video scene segmentation tasks (2023)
Beserra, Antonio Alessandro Rocha ; Goularte, Rudinei
Fonte: Multimedia Tools and Applications. Unidade: ICMC
Assuntos: MULTIMÍDIA, RECONHECIMENTO DE IMAGEM, VÍDEO
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ABNT
BESERRA, Antonio Alessandro Rocha e GOULARTE, Rudinei. Multimodal early fusion operators for temporal video scene segmentation tasks. Multimedia Tools and Applications, v. 82, n. 20, p. 31539-31556, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-14953-6. Acesso em: 07 out. 2025.
APA
Beserra, A. A. R., & Goularte, R. (2023). Multimodal early fusion operators for temporal video scene segmentation tasks. Multimedia Tools and Applications, 82( 20), 31539-31556. doi:10.1007/s11042-023-14953-6
NLM
Beserra AAR, Goularte R. Multimodal early fusion operators for temporal video scene segmentation tasks [Internet]. Multimedia Tools and Applications. 2023 ; 82( 20): 31539-31556.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-14953-6
Vancouver
Beserra AAR, Goularte R. Multimodal early fusion operators for temporal video scene segmentation tasks [Internet]. Multimedia Tools and Applications. 2023 ; 82( 20): 31539-31556.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-023-14953-6
Artigo de periodico
Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task (2023)
Ribeiro, Leo Sampaio Ferraz ; Bui, Tu ; Collomosse, John ; Ponti, Moacir Antonelli
Fonte: Multimedia Tools and Applications. Unidade: ICMC
Assuntos: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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RIBEIRO, Leo Sampaio Ferraz et al. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, v. 82, n. 24, p. 38117-38139, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-14282-0. Acesso em: 07 out. 2025.
APA
Ribeiro, L. S. F., Bui, T., Collomosse, J., & Ponti, M. A. (2023). Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, 82( 24), 38117-38139. doi:10.1007/s11042-022-14282-0
NLM
Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
Vancouver
Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
Artigo de periodico
EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation (2023)
Aranha, Renan Vinicius ; Chaim, Marcos Lordello ; Monteiro, Carlos Bandeira de Mello ; Silva, Talita D.; Guerreiro, Francisca Antonia Almeida de Carvalho; Silva, Willian Severino; Marques, Fátima de Lourdes dos Santos Nunes
Fonte: Multimedia Tools and Applications. Unidade: EACH
Assunto: REABILITAÇÃO
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ABNT
ARANHA, Renan Vinicius et al. EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation. Multimedia Tools and Applications, v. 82, p. 2303-2328, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12600-0. Acesso em: 07 out. 2025.
APA
Aranha, R. V., Chaim, M. L., Monteiro, C. B. de M., Silva, T. D., Guerreiro, F. A. A. de C., Silva, W. S., & Marques, F. de L. dos S. N. (2023). EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation. Multimedia Tools and Applications, 82, 2303-2328. doi:10.1007/s11042-022-12600-0
NLM
Aranha RV, Chaim ML, Monteiro CB de M, Silva TD, Guerreiro FAA de C, Silva WS, Marques F de L dos SN. EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation [Internet]. Multimedia Tools and Applications. 2023 ; 82 2303-2328.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-022-12600-0
Vancouver
Aranha RV, Chaim ML, Monteiro CB de M, Silva TD, Guerreiro FAA de C, Silva WS, Marques F de L dos SN. EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation [Internet]. Multimedia Tools and Applications. 2023 ; 82 2303-2328.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-022-12600-0
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
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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: 07 out. 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 out. 07 ] 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 out. 07 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
Artigo de periodico
EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation (2022)
Aranha, Renan Vinicius ; Chaim, Marcos Lordello ; Monteiro, Carlos Bandeira de Mello ; Silva, Talita Dias; Guerreiro, Francisca Antonia Almeida de Carvalho; Silva, Willian Severino da; Marques, Fátima de Lourdes dos Santos Nunes
Fonte: Multimedia Tools and Applications. Unidades: EACH, EP
Assunto: JOGOS
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ABNT
ARANHA, Renan Vinicius et al. EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation. Multimedia Tools and Applications, p. 01-16, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12600-0. Acesso em: 07 out. 2025.
APA
Aranha, R. V., Chaim, M. L., Monteiro, C. B. de M., Silva, T. D., Guerreiro, F. A. A. de C., Silva, W. S. da, & Marques, F. de L. dos S. N. (2022). EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation. Multimedia Tools and Applications, 01-16. doi:10.1007/s11042-022-12600-0
NLM
Aranha RV, Chaim ML, Monteiro CB de M, Silva TD, Guerreiro FAA de C, Silva WS da, Marques F de L dos SN. EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation [Internet]. Multimedia Tools and Applications. 2022 ; 01-16.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-022-12600-0
Vancouver
Aranha RV, Chaim ML, Monteiro CB de M, Silva TD, Guerreiro FAA de C, Silva WS da, Marques F de L dos SN. EasyAffecta: a framework to develop serious games for virtual rehabilitation with affective adaptation [Internet]. Multimedia Tools and Applications. 2022 ; 01-16.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-022-12600-0
Artigo de periodico
A video indexing and retrieval computational prototype based on transcribed speech (2021)
Spolaôr, Newton ; Lee, Huei Diana ; Takaki, Weber Shoity Resende ; Ensina, Leandro Augusto; Parmezan, Antonio Rafael Sabino ; Oliva, Jefferson Tales ; Coy, Claudio Saddy Rodrigues ; Wu, Feng Chung
Fonte: Multimedia Tools and Applications. Unidade: ICMC
Assuntos: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE VOZ, PROCESSAMENTO DE LINGUAGEM NATURAL, VÍDEO
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ABNT
SPOLAÔR, Newton et al. A video indexing and retrieval computational prototype based on transcribed speech. Multimedia Tools and Applications, v. 80, n. 5, p. 33971-34017, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11042-021-11401-1. Acesso em: 07 out. 2025.
APA
Spolaôr, N., Lee, H. D., Takaki, W. S. R., Ensina, L. A., Parmezan, A. R. S., Oliva, J. T., et al. (2021). A video indexing and retrieval computational prototype based on transcribed speech. Multimedia Tools and Applications, 80( 5), 33971-34017. doi:10.1007/s11042-021-11401-1
NLM
Spolaôr N, Lee HD, Takaki WSR, Ensina LA, Parmezan ARS, Oliva JT, Coy CSR, Wu FC. A video indexing and retrieval computational prototype based on transcribed speech [Internet]. Multimedia Tools and Applications. 2021 ; 80( 5): 33971-34017.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-021-11401-1
Vancouver
Spolaôr N, Lee HD, Takaki WSR, Ensina LA, Parmezan ARS, Oliva JT, Coy CSR, Wu FC. A video indexing and retrieval computational prototype based on transcribed speech [Internet]. Multimedia Tools and Applications. 2021 ; 80( 5): 33971-34017.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-021-11401-1
Artigo de periodico
Temporal video scene segmentation using deep-learning (2021)
Trojahn, Tiago Henrique ; Goularte, Rudinei
Fonte: Multimedia Tools and Applications. Unidade: ICMC
Assuntos: RECONHECIMENTO DE IMAGEM, VÍDEO, MULTIMÍDIA INTERATIVA, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
TROJAHN, Tiago Henrique e GOULARTE, Rudinei. Temporal video scene segmentation using deep-learning. Multimedia Tools and Applications, v. 80, n. 12, p. 17487-17513, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11042-020-10450-2. Acesso em: 07 out. 2025.
APA
Trojahn, T. H., & Goularte, R. (2021). Temporal video scene segmentation using deep-learning. Multimedia Tools and Applications, 80( 12), 17487-17513. doi:10.1007/s11042-020-10450-2
NLM
Trojahn TH, Goularte R. Temporal video scene segmentation using deep-learning [Internet]. Multimedia Tools and Applications. 2021 ; 80( 12): 17487-17513.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-020-10450-2
Vancouver
Trojahn TH, Goularte R. Temporal video scene segmentation using deep-learning [Internet]. Multimedia Tools and Applications. 2021 ; 80( 12): 17487-17513.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-020-10450-2
Artigo de periodico
Facial expression synthesis based on similar faces (2021)
Testa, Rafael Luiz ; Lima, Ariane Machado ; Marques, Fátima de Lourdes dos Santos Nunes
Fonte: Multimedia Tools and Applications. Unidade: EACH
Assuntos: FACE, RECONHECIMENTO DE PADRÕES, APRENDIZADO COMPUTACIONAL, FOTOGRAFIA
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ABNT
TESTA, Rafael Luiz e LIMA, Ariane Machado e MARQUES, Fátima de Lourdes dos Santos Nunes. Facial expression synthesis based on similar faces. Multimedia Tools and Applications, v. 80, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11042-021-11525-4. Acesso em: 07 out. 2025.
APA
Testa, R. L., Lima, A. M., & Marques, F. de L. dos S. N. (2021). Facial expression synthesis based on similar faces. Multimedia Tools and Applications, 80, Se 2021. doi:10.1007/s11042-021-11525-4
NLM
Testa RL, Lima AM, Marques F de L dos SN. Facial expression synthesis based on similar faces [Internet]. Multimedia Tools and Applications. 2021 ; 80 Se 2021.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-021-11525-4
Vancouver
Testa RL, Lima AM, Marques F de L dos SN. Facial expression synthesis based on similar faces [Internet]. Multimedia Tools and Applications. 2021 ; 80 Se 2021.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-021-11525-4
Artigo de periodico
A comparison among keyframe extraction techniques for CNN classification based on video periocular images (2021)
Ferraz, Carolina Toledo ; Barcellos, William; Pereira Junior, Osmando ; Borges, Tamiris Trevisan Negri ; Manzato, Marcelo Garcia ; Gonzaga, Adilson ; Saito, Jose Hiroki
Fonte: Multimedia Tools and Applications. Unidades: ICMC, EESC
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, OLHO
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ABNT
FERRAZ, Carolina Toledo et al. A comparison among keyframe extraction techniques for CNN classification based on video periocular images. Multimedia Tools and Applications, v. 80, n. 8, p. 12843-12856, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11042-020-10384-9. Acesso em: 07 out. 2025.
APA
Ferraz, C. T., Barcellos, W., Pereira Junior, O., Borges, T. T. N., Manzato, M. G., Gonzaga, A., & Saito, J. H. (2021). A comparison among keyframe extraction techniques for CNN classification based on video periocular images. Multimedia Tools and Applications, 80( 8), 12843-12856. doi:10.1007/s11042-020-10384-9
NLM
Ferraz CT, Barcellos W, Pereira Junior O, Borges TTN, Manzato MG, Gonzaga A, Saito JH. A comparison among keyframe extraction techniques for CNN classification based on video periocular images [Internet]. Multimedia Tools and Applications. 2021 ; 80( 8): 12843-12856.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-020-10384-9
Vancouver
Ferraz CT, Barcellos W, Pereira Junior O, Borges TTN, Manzato MG, Gonzaga A, Saito JH. A comparison among keyframe extraction techniques for CNN classification based on video periocular images [Internet]. Multimedia Tools and Applications. 2021 ; 80( 8): 12843-12856.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-020-10384-9
Artigo de periodico
Correlation based feature fusion for the temporal video scene segmentation task (2019)
Kishi, Rodrigo Mitsuo; Trojahn, Tiago Henrique; Goularte, Rudinei
Fonte: Multimedia Tools and Applications. Unidade: ICMC
Assuntos: MULTIMÍDIA INTERATIVA, RECUPERAÇÃO DA INFORMAÇÃO, VÍDEO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KISHI, Rodrigo Mitsuo e TROJAHN, Tiago Henrique e GOULARTE, Rudinei. Correlation based feature fusion for the temporal video scene segmentation task. Multimedia Tools and Applications, v. 78, n. 11, p. 15623-15646, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11042-018-6959-4. Acesso em: 07 out. 2025.
APA
Kishi, R. M., Trojahn, T. H., & Goularte, R. (2019). Correlation based feature fusion for the temporal video scene segmentation task. Multimedia Tools and Applications, 78( 11), 15623-15646. doi:10.1007/s11042-018-6959-4
NLM
Kishi RM, Trojahn TH, Goularte R. Correlation based feature fusion for the temporal video scene segmentation task [Internet]. Multimedia Tools and Applications. 2019 ; 78( 11): 15623-15646.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-018-6959-4
Vancouver
Kishi RM, Trojahn TH, Goularte R. Correlation based feature fusion for the temporal video scene segmentation task [Internet]. Multimedia Tools and Applications. 2019 ; 78( 11): 15623-15646.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-018-6959-4
Artigo de periodico
PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms (2019)
Sanches, Silvio Ricardo Rodrigues ; Sementille, Antonio Carlos ; Tori, Romero ; Nakamura, Ricardo ; Silva, Valdinei Freire da
Fonte: Multimedia Tools and Applications. Unidades: EP, EACH
Assuntos: ALGORITMOS, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANCHES, Silvio Ricardo Rodrigues et al. PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms. Multimedia Tools and Applications, v. no 2019, n. 22, p. 32393-32417, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11042-019-07958-7. Acesso em: 07 out. 2025.
APA
Sanches, S. R. R., Sementille, A. C., Tori, R., Nakamura, R., & Silva, V. F. da. (2019). PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms. Multimedia Tools and Applications, no 2019( 22), 32393-32417. doi:10.1007/s11042-019-07958-7
NLM
Sanches SRR, Sementille AC, Tori R, Nakamura R, Silva VF da. PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms [Internet]. Multimedia Tools and Applications. 2019 ; no 2019( 22): 32393-32417.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-019-07958-7
Vancouver
Sanches SRR, Sementille AC, Tori R, Nakamura R, Silva VF da. PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms [Internet]. Multimedia Tools and Applications. 2019 ; no 2019( 22): 32393-32417.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-019-07958-7
Artigo de periodico
Human iris feature extraction under pupil size variation using local texture descriptors (2019)
Souza, Jones Mendonça de; Gonzaga, Adilson
Fonte: Multimedia Tools and Applications. Unidade: EESC
Assuntos: ÍRIS, BIOMETRIA, PUPILA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Jones Mendonça de e GONZAGA, Adilson. Human iris feature extraction under pupil size variation using local texture descriptors. Multimedia Tools and Applications, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11042-019-7371-4. Acesso em: 07 out. 2025.
APA
Souza, J. M. de, & Gonzaga, A. (2019). Human iris feature extraction under pupil size variation using local texture descriptors. Multimedia Tools and Applications. doi:10.1007/s11042-019-7371-4
NLM
Souza JM de, Gonzaga A. Human iris feature extraction under pupil size variation using local texture descriptors [Internet]. Multimedia Tools and Applications. 2019 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-019-7371-4
Vancouver
Souza JM de, Gonzaga A. Human iris feature extraction under pupil size variation using local texture descriptors [Internet]. Multimedia Tools and Applications. 2019 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-019-7371-4
Artigo de periodico
Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor (2018)
Vieira, Raissa Tavares; Negri, Tamiris Trevisan; Gonzaga, Adilson
Fonte: Multimedia Tools and Applications. Unidade: EESC
Assuntos: RECONHECIMENTO DE IMAGEM, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares e NEGRI, Tamiris Trevisan e GONZAGA, Adilson. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11042-018-6204-1. Acesso em: 07 out. 2025.
APA
Vieira, R. T., Negri, T. T., & Gonzaga, A. (2018). Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications. doi:10.1007/s11042-018-6204-1
NLM
Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
Vancouver
Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
Artigo de periodico
Object classification using a local texture descriptor and a support vector machine (2017)
Ferraz, Carolina Toledo ; Gonzaga, Adilson
Fonte: Multimedia Tools and Applications. Unidade: EESC
Assuntos: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE OBJETOS, RECONHECIMENTO DE PADRÕES, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Carolina Toledo e GONZAGA, Adilson. Object classification using a local texture descriptor and a support vector machine. Multimedia Tools and Applications, v. 76, p. 20609–20641, 2017Tradução . . Disponível em: http://dx.doi.org/10.1007/s11042-016-4003-0. Acesso em: 07 out. 2025.
APA
Ferraz, C. T., & Gonzaga, A. (2017). Object classification using a local texture descriptor and a support vector machine. Multimedia Tools and Applications, 76, 20609–20641. doi:10.1007/s11042-016-4003-0
NLM
Ferraz CT, Gonzaga A. Object classification using a local texture descriptor and a support vector machine [Internet]. Multimedia Tools and Applications. 2017 ; 76 20609–20641.[citado 2025 out. 07 ] Available from: http://dx.doi.org/10.1007/s11042-016-4003-0
Vancouver
Ferraz CT, Gonzaga A. Object classification using a local texture descriptor and a support vector machine [Internet]. Multimedia Tools and Applications. 2017 ; 76 20609–20641.[citado 2025 out. 07 ] Available from: http://dx.doi.org/10.1007/s11042-016-4003-0

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