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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Video Synopsis for IR Imagery Considering Video as a 3D Data Cuboid
verfasst von : Nikhil Kumar, Ashish Kumar, Neeta Kandpal
Erschienen in: Proceedings of International Conference on Computer Vision and Image Processing
Verlag: Springer Singapore
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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.