Abstract
With the advent of wearable cameras attached with wearable computers, we can record our daily lives as a large amount of video data. As a consequence, automatic creation of indexes on such video data is becoming important to support query retrieval or digest creation on them. This is because it is unrealistic to create indexes on long-sustained video data by hand. To cope with this problem, we propose a method to automatically create index on such video data on the basis of geographic objects. In this scheme, users wear a wearable computer, a GPS receiver, and a wearable video camera with gyroscope to record various kinds of context information as well as video data. The system then makes analysis of those data, and automatically creates indexes of the video data. To this end, we propose two kinds of weighting schemes for geographic objects, namely, distance- and direction-based weights.We introduce some variations of distance-based weighting functions, and a method to adaptively decide reasonable indexing area with respect to the position of the user and geographic objects.
This work is partially supported by the Ministry of Education, Culture, Sports, Science and Technology, Japan under grant 13780236, and by Core Research for Evolutional Science and Technology (CREST) Program “Advanced Media Technology for Everyday Living” of Japan Science and Technology Corporation (JST).
Presently with KDDI Corporation, Japan
Presently with Information Technology Center, Nagoya University, Japan
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References
Billinghurst, M., Bee, S., Bowskill, J., Kato, H.: Asymmetries in collaborative wearable interfaces. In: Proc. of Int’l Symposium on Wearable Computers (ISWC). (1999) 133–140
Rhodes, B.J., Minar, N., Weaver, J.:Wearable computing meets ubiquitous computing: Reaping the best of both worlds. In: Proc. of Int’l Symposium onWearable Computers (ISWC). (1999) 141–149
Mayol, W., Tordoff, B., Murray, D.: Wearable visual robots. In: Proc. of Int’l Symposium on Wearable Computers (ISWC). (2000) 95–102
Ueda, T., Amagasa, T., Yoshikawa, M., Uemura, S.: Digest creation of video data recorded by wearable cameras using locational and geographical information. In: Proc of 1st Int’lWorkshop on Wireless Information Systems (WIS-2002). (2002) 94–105
WorldWideWeb Consortium (W3C): Synchronized Multimedia Integration Language (SMIL 2.0). (http://www.w3.org/TR/smil20/)
Nakamura, Y., Ohde, J., Ohta, Y.: Structuring personal experiences-analyzing views from a head-mounted camera. In: Proc. of Int’l Conference on Multimedea and Exposition (ICME). (2000) TP10-5
Healey, J., Picard, R.: Startlecam: A cybernetic wearable camera. In: Proc. of Int’l Symposium on Wearable Computers (ISWC). (1998)
Aizawa, K., Ishijima, K., Shiina, M.: Automatic summarization of wearable video-indexing subjective interest. In: Proc. of IEEE Paci.c Rim Conference on Multimedia. (2001) 16–23
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Ueda, T., Amagasa, T., Yoshikawa, M., Uemura, S. (2002). A System for Retrieval and Digest Creation of Video Data Based on Geographic Objects. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_76
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DOI: https://doi.org/10.1007/3-540-46146-9_76
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