Integrating semantic analysis and scalable video coding for efficient content-based adaptation |
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Authors: | Luis Herranz |
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Affiliation: | (1) Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain |
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Abstract: | Scalable video coding has become a key technology to deploy systems where the adaptation of content to diverse constrained
usage environments (such as PDAs, mobile phones and networks) is carried out in a simple and efficient way. Content-based
adaptation and summarization are fields that aim for providing improved adaptation to the user, trying to optimize the semantic
coverage in the adapted/summarized version. This paper proposes the integration of content analysis with scalable video adaptation
paradigm. They must be fitted in such a way that the efficiency of scalable adaptation is not damaged. An integrated framework
is proposed for semantic video adaptation, as well as an adaptive skimming scheme that can use the results of semantic analysis.
They are described using the MPEG-21 DIA tools to provide the adaptation in a standard framework. Particularly, the case of
activity analysis is described to illustrate the integration of semantic analysis in the framework, and its use for online
content summarization and adaptation. Overall efficiency is achieved by means of computing activity using compressed domain
analysis with several metrics evaluated as measures of activity.
Work supported by the Ministerio de Ciencia y Tecnología of the Spanish Government under project TIN2004-07860 (MEDUSA) and
by the Comunidad de Madrid under project S-0505-TIC-0223 (PROMULTIDIS). |
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Keywords: | MPEG-21 Digital item adaptation Scalable video Video summarization Semantic video adaptation |
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