Abstract
Our system supports a user's location-based recollection of past events with direct input such as in always ‘gazing’ video data, which allows the user to associate by simply looking at a viewpoint, and providing stable online and real-time video retrieval. We propose three functional methods: image retrieval with motion information, video scene segmentation, and real-time video retrieval. Our experimental results have shown that these functions are effective enough to perform wearable information playing.
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References
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© 2001 Springer-Verlag Berlin Heidelberg
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Kawamura, T., Kono, Y., Kidode, M. (2001). A Novel Video Retrieval Method to Support a User’s Recollection of Past Events Aiming for Wearable Information playing. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_4
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DOI: https://doi.org/10.1007/3-540-45453-5_4
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