An enhanced content selection mechanism for personalization of video news programmes
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2011
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Resumo |
In this paper, we propose a content selection framework that improves the users` experience when they are enriching or authoring pieces of news. This framework combines a variety of techniques to retrieve semantically related videos, based on a set of criteria which are specified automatically depending on the media`s constraints. The combination of different content selection mechanisms can improve the quality of the retrieved scenes, because each technique`s limitations are minimized by other techniques` strengths. We present an evaluation based on a number of experiments, which show that the retrieved results are better when all criteria are used at time. |
Identificador |
MULTIMEDIA SYSTEMS, v.17, n.1, p.19-34, 2011 0942-4962 http://producao.usp.br/handle/BDPI/28742 10.1007/s00530-010-0204-y |
Idioma(s) |
eng |
Publicador |
SPRINGER |
Relação |
Multimedia Systems |
Direitos |
restrictedAccess Copyright SPRINGER |
Palavras-Chave | #IMAGE RETRIEVAL #MULTIMEDIA CONTENT #CLASSIFICATION #Computer Science, Information Systems #Computer Science, Theory & Methods |
Tipo |
article proceedings paper publishedVersion |