An enhanced content selection mechanism for personalization of video news programmes


Autoria(s): MANZATO, Marcelo G.; COIMBRA, Danilo B.; GOULARTE, Rudinei
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2011

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

http://dx.doi.org/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