Abstract
We designed the architecture of the observation system to support capturing of high resolution videos. An intuitive design is to transmit videos to the storage site directly. There is, however, a risk of data lost caused by network instability and possibly electrical blackout. A set of hardware components is devised as the first tier processing and buffering device which stores videos temporarily while the video transmission process is waiting for a network channel. Higher bitrates, e.g., 5 mbps, are also tested in order to provide a clearer and more reliable data source for further video analysis. With the buffering space we are able to overcome network bandwidth limitations and transmit higher resolution videos in an effective way.
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References
Chou, H. (2013). Video and rdf store. Technical report, Fish4Knowledge Deliverable D4.1.
Chou, H., Y. Shiau, S. Lo, S. Lin, and F. Lin. 2009. A real-time ecological observation video streaming system based on grid architecture. In Proceedings HPC Asia (KaoShiung, Taiwan)
Englander, I. (2009). The architecture of computer hardware, systems software, and networking: An information technology approach. Hoboken: Wiley.
Patterson, D., G.A. Gibson, and R. Katz. 1988. A case for redundant arrays of inexpensive disks (raid). In Proceedings SIGMOD, 109–116.
Shiau, Y.H., Y.H. Chen, K.T. Tseng, and J.S. Cheng. 2010. A real-time high-resolution underwater ecological observation streaming system. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, vol. XXXVIII. Part 8.
Warford, J.S. (2009). Computer systems. Sudbury: Jones and Bartlett.
Wilson, J.R. (2012). Seven databases in seven weeks: A guide to modern database and the NoSQL movement. Pragmatic Bookshelf.
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© 2016 Springer International Publishing Switzerland
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Lin, SI., Lin, FP., Chou, HM. (2016). Marine Video Data Capture and Storage. In: Fisher, R., Chen-Burger, YH., Giordano, D., Hardman, L., Lin, FP. (eds) Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data. Intelligent Systems Reference Library, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-319-30208-9_4
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DOI: https://doi.org/10.1007/978-3-319-30208-9_4
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