Abstract
This paper presents GENA, a case-based reasoning system capable of generating audio-visual narratives by drawing from previously annotated content. Broadcast networks spend a large amount of resources in covering many events and many different types of audiences. However, it is not reasonable for them to cover smaller events or audiences, for which the cost would be greater than the potential benefits. For that reason, it is interesting to design systems that could automatically generate summaries, or personalized news shows for these smaller events or audiences. GENA was designed in collaboration with Televisió de Catalunya (the public Catalan broadcaster) precisely to address this problem. This paper describes GENA, and the techniques that were designed to address the complexities of the problem of generating audio-visual narrative. We also present an experimental evaluation in the domain of sports.
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Ontañón, S. et al. (2012). GENA: A Case-Based Approach to the Generation of Audio-Visual Narratives. In: Agudo, B.D., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2012. Lecture Notes in Computer Science(), vol 7466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32986-9_23
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DOI: https://doi.org/10.1007/978-3-642-32986-9_23
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