Abstract
In this paper, a video retrieval application for the Android mobile platform is described. The application utilises computer vision technologies that, given a photo of a landmark of interest, will automatically locate online videos about that landmark. Content-based video retrieval technologies are adopted to find the most relevant videos based on visual similarity of video content. The system has been evaluated using a custom test collection with human annotated ground truth. We show that our system is effective, both in terms of speed and accuracy. This application is proposed for demonstration at MMM2014 and we are sure that this application would benefit tourists either planning travel or while travelling in real-time.
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© 2014 Springer International Publishing Switzerland
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Zhang, Z., Yang, Y., Cui, R., Gurrin, C. (2014). Eolas: Video Retrieval Application for Helping Tourists. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8326. Springer, Cham. https://doi.org/10.1007/978-3-319-04117-9_44
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DOI: https://doi.org/10.1007/978-3-319-04117-9_44
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04116-2
Online ISBN: 978-3-319-04117-9
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