Recomendações de obras de arte baseadas em conteúdo

• Autor(a) principal: Ribani, Ricardo
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do Mackenzie
• Texto Completo: http://dspace.mackenzie.br/handle/10899/24372
• topic: sistemas de recomendações; visão computacional; recuperação de imagens; bag of keypoints; pontos de interesse; inteligência artificial; recommender systems; computer vision; image retrieval; bag of keypoints; feature points; artificial intelligence; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA

With the growing amount of multimedia information, the recommender systems have become more present in digital systems. Together with the growth of the internet, more and more people have access to large multimedia collections and consequently the user is often in doubt situations when making a choice. In order to help the user to make their own choices, this research presents a study around the content-based recommender systems applied to art paintings. Here are included approaches on image retrieval algorithms, computer vision and artificial intelligence concepts such as techniques for pattern recognition. One of the goals of this research was the creation of a software for mobile phones, applied to an art paintings database. The application uses an interface developed for mobile phones, where the user can point the phone s camera to a painting and based on this painting the system generates a recommendation of another painting in the same database, considering some parameters such as style, genre or color.