caa a22 4500 445322179 CHVBK 20180317142707.0 cr unu---uuuuu 170323e20110201xx s 000 0 eng 10.1007/s00530-010-0204-y doi (NATIONALLICENCE)springer-10.1007/s00530-010-0204-y An enhanced content selection mechanism for personalization of video news programmes [Elektronische Daten] [Marcelo Manzato, Danilo Coimbra, Rudinei Goularte] 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. Springer-Verlag, 2010 Manzato Marcelo Mathematics and Computing Institute, University of São Paulo, Av. Trabalhador Sancarlense, 400, PO Box 668, 13560-970, São Carlos, SP, Brazil aut Coimbra Danilo Mathematics and Computing Institute, University of São Paulo, Av. Trabalhador Sancarlense, 400, PO Box 668, 13560-970, São Carlos, SP, Brazil aut Goularte Rudinei Mathematics and Computing Institute, University of São Paulo, Av. Trabalhador Sancarlense, 400, PO Box 668, 13560-970, São Carlos, SP, Brazil aut Multimedia Systems Springer-Verlag 17/1(2011-02-01), 19-34 0942-4962 17:1<19 2011 17 530 https://doi.org/10.1007/s00530-010-0204-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00530-010-0204-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Manzato Marcelo Mathematics and Computing Institute, University of São Paulo, Av. Trabalhador Sancarlense, 400, PO Box 668, 13560-970, São Carlos, SP, Brazil aut NATIONALLICENCE 700 1- Coimbra Danilo Mathematics and Computing Institute, University of São Paulo, Av. Trabalhador Sancarlense, 400, PO Box 668, 13560-970, São Carlos, SP, Brazil aut NATIONALLICENCE 700 1- Goularte Rudinei Mathematics and Computing Institute, University of São Paulo, Av. Trabalhador Sancarlense, 400, PO Box 668, 13560-970, São Carlos, SP, Brazil aut NATIONALLICENCE 773 0- Multimedia Systems Springer-Verlag 17/1(2011-02-01), 19-34 0942-4962 17:1<19 2011 17 530 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer