Abstract
The descriptions of audiovisual documents used in the interrogation process should not be limited to the identification of some keywords selected from signal, or from the forms presented in the image. They should be however, extracted basically from the content whilst exploiting the knowledge conveyed in the document. In this context, the topic and thematic description represents important information from the content. This importance result from the effective presence of the documents’ content. Consequently, we concentrate efforts to propose a method that describe the theme and the topic of movies document based on the adaptation of the Latent Dirichlet Allocation (LDA) model by combining the textual and visual modalities from the pre-production movie document (Script) and from the superposed text in the image. The experiments results confirmed the interesting performance through two databases, namely, “Choi’s dataset” and our own created database from the Internet Movie Database Imdb (http://www.imdb.com/years2012/2013).
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Fourati, M., Jedidi, A., Gargouri, F. (2015). Topic and Thematic Description for Movies Documents. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9492. Springer, Cham. https://doi.org/10.1007/978-3-319-26561-2_54
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DOI: https://doi.org/10.1007/978-3-319-26561-2_54
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