Abstract
This paper presents a semi-automatic indexing method for “QUEVICO” — A QA model for video-based interactive media. We first provide an overview of QUEVICO, and then discuss which indices are acquired from the scenario and which must be acquired by manual or automated processing. To obtain these indices, we implemented a prototype system whose processes include human behavior recognition, object tracking, and speech recognition. Through some experiments applying the prototype system to actual indexing of QUEVICO video data, the strong potential of our framework are demonstrated.
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Ozeki, M., Itoh, M., Izuno, H., Nakamura, Y., Ohta, Y. (2003). Object Tracking and Task Recognition for Producing Interactive Video Content — Semi-automatic Indexing for QUEVICO. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_143
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DOI: https://doi.org/10.1007/978-3-540-45226-3_143
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40804-8
Online ISBN: 978-3-540-45226-3
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