Abstract
With enormous growth in video surveillance technology, the challenges in terms of data retrieval, monitoring, and browsing have been increased. A smarter solution for this is a video synopsis technique that represents prolonged video in a compact form based on the object trajectories rather than the key frame approach. It converts long video footage into shorter video form while preserving all the activities of the original video. The object trajectories are shifted in time domain as well as in spatial domain to offer the maximum compactness while maintaining the sequence of original source video. This paper gives the brief about the different approaches, evaluation parameters, and datasets used to assess the quality of synopsis video. The main objective is to investigate the query-based video synopsis useful for data retrieval through activity clustering steps in the synopsis framework that will also help to solve societal problems.
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Jagtap, S., Chopade, N.B. (2021). A Comprehensive Investigation About Video Synopsis Methodology and Research Challenges. In: Smys, S., Balas, V.E., Kamel, K.A., Lafata, P. (eds) Inventive Computation and Information Technologies. Lecture Notes in Networks and Systems, vol 173. Springer, Singapore. https://doi.org/10.1007/978-981-33-4305-4_66
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DOI: https://doi.org/10.1007/978-981-33-4305-4_66
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