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Vehicle Driving Video Sharing and Search Framework Based on GPS Data

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Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 238))

Abstract

The driving dispute is a critical problem for drivers when the car accident is happened. The drivers usually install the car video recorder in their car to recode their driving images for many years ago. If a car accident is happened, the driver can provide a driving video file as an evidence to claim that they did not do any dangerous driving, and protect themself. However, in some situations, drivers may not in the car accident when driving the car, but they have the same requirement for a video record, because they want to use those video files to find out the crime in hit-and-run accident. Due to an evolution of social network, many people were post the required messages to find the driving videos recorded in some specific times and locations. In fact, such kind of messages can be beneficial for many people to solve the hit-and-run accident by using social networks and driving videos. The goal of this paper is to develop a framework which can provide a platform for users to upload their driving videos, and allow other users can search video by a given specific time, date and location from the frameworks’ database. This framework can also provide the application on mobile devices for user to recorder their driving videos, and this application can upload their driving video into the frameworks’ database automatically.

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© 2014 Springer International Publishing Switzerland

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Chiang, CY., Yuan, SM., Yang, SB., Luo, GH., Chen, YL. (2014). Vehicle Driving Video Sharing and Search Framework Based on GPS Data. In: Pan, JS., Krömer, P., Snášel, V. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 238. Springer, Cham. https://doi.org/10.1007/978-3-319-01796-9_42

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  • DOI: https://doi.org/10.1007/978-3-319-01796-9_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01795-2

  • Online ISBN: 978-3-319-01796-9

  • eBook Packages: EngineeringEngineering (R0)

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