Abstract
Video synopsis is a way to transform a recorded video into a temporal compact representation. Surveillance videos generally contain huge amount of recorded data as there are a lot of inherent spatio-temporal redundancies in the form of segments having no activities; browsing and retrieval of such huge data has always remained an inconvenient job. We present an approach to video synopsis for IR imagery in which considered video is mapped into a temporal compact and chronologically analogous way by removing these inherent spatio-temporal redundancies significantly. A group of frames of video sequence is taken to form a 3D data cuboid with X, Y and T axes, this cuboid is re-represented as stack of contiguous \(X-T\) slices. With the help of Canny’s edge detection and Hough transform-based line detection, contents of these slices are analysed and segments having spatio-temporal redundancy are eliminated. Hence, recorded video is dynamically summarized on the basis of its content.
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Acknowledgements
We take this opportunity to express our sincere gratitude to Dr. S.S. Negi, OS and Sc ‘H’, Director, IRDE, Dehradun for his encouragement. As good things cannot proceed without good company, we would like to thank Mrs Meenakshi Massey, Sc ‘C’ for not only bearing with us and our problems but also for her support in generating datasets.
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Kumar, N., Kumar, A., Kandpal, N. (2017). Video Synopsis for IR Imagery Considering Video as a 3D Data Cuboid. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_21
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DOI: https://doi.org/10.1007/978-981-10-2104-6_21
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