Effective security solutions for consumer applications require significant advances in the field of video surveillance. Video synopsis (VS) has been a crucial tool in streamlining consumer surveillance investigations, through rapid assessment of the video data and projecting multiple objects simultaneously. The framework of VS is significantly impacted by the operation of the optimization module. Techniques such as simulated annealing (SA) is utilized to achieve the minimization of the energy. However, the real-time implications lead to a prolonged convergence time. This work proposes an approach to integrating the arithmetic optimization algorithm (AOA) into the VS framework. Achieving a globally optimal solution along with a faster convergence rate. The effectiveness of the proposal is estimated through various experimental evaluations and analyses. Thus, intelligent and effective reviewing of any surveillance video would be possible through the implementation of the proposed approach.