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.
CITATION STYLE
Kumar, N., Kumar, A., & Kandpal, N. (2017). Video synopsis for IR imagery considering video as a 3D data cuboid. In Advances in Intelligent Systems and Computing (Vol. 459 AISC, pp. 227–237). Springer Verlag. https://doi.org/10.1007/978-981-10-2104-6_21
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