Video surveillance is one of the most demanding technology to combat security threats. With the huge amount of video data, the traditional surveillance solutions fail to review volumes of video data quickly. Hence, to mitigate this problem, video synopsis is an ultimate choice to make the video surveillance smart, automated and intelligent. It serves as a powerful tool to assess hours of video in a shorter retro of time by projecting multiple objects concurrently. The present article provides a comprehensive, categorical review based on single-camera surveillance video synopsis methodologies with a focus to develop an insight into the current research trends. This review concentrates on the frameworks for off-line/on-line, event/cluster-based, quality enhancement point of view, query-based, and tube rearrangement/placement problem. A comparative analysis is also carried out in terms of the methodology used and potential application. In conclusion, different open research issues related to Video Synopsis Technology are compared and projected in several ways for future research.