Abstract
We introduce an anime blog system that enable users to create blogs containing animation by searching for and selecting animations or images from a database by using simple words. This system collects animation or image data using consumer-generated databases, in the manner of Web 2.0. If users cannot find appropriate data, they can easily upload new data that they have created. Our animation database, Animebase, correlates natural language with three-dimensional animation data. When an animation is uploaded, the system applies motion data of this model to other models and generates new anima-tions, which are then stored in Animebase. Our basic concept is that the animation data corresponding to natural language is useful for enabling novice users to create content. We discuss the difficulty of this approach to collecting animations and mention future work.
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Sumi, K. (2007). Anime Blog for Collecting Animation Data. In: Cavazza, M., Donikian, S. (eds) Virtual Storytelling. Using Virtual Reality Technologies for Storytelling. ICVS 2007. Lecture Notes in Computer Science, vol 4871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77039-8_12
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DOI: https://doi.org/10.1007/978-3-540-77039-8_12
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