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Video summarization: methods, trends, applications

Ryan W

Introduction With the rapid development of the Internet, video has emerged as a vivid and expressive medium of information, becoming an indispensable part of everyday life. The widespread use of short video platforms has led to an enormous number of users and a massive volume of video content uploaded daily, which presents significant challenges in information selection. At the same time, the proliferation of surveillance equipment has accelerated the advancement of intelligent monitoring technologies, playing a crucial role in criminal investigations, urban management, and campus safety. Globally, a vast number of surveillance cameras generate massive amounts of data every day, creating significant storage pressure. Traditional data analysis methods are inefficient and struggle to rapidly extract key content, severely limiting the effective use of surveillance video. Video summarization techniques aim to extract key frames or segments to generate compact and information-rich summaries. In the context of short videos, summarization improves browsing efficiency, satisfies users’ demand for quick access to information, and contributes to increased platform engagement. In surveillance, summarization facilitates rapid identification of important events, reduces the cost and time of manual retrieval, and effectively alleviates storage burdens while improving playback efficiency. While traditional video editing heavily relies on time-consuming and labor-intensive manual effort, video summarization algorithms can automatically identify and extract important content to generate concise video clips, which are widely applied in scenarios such as social media short videos, news highlights, and movie trailers. In the domain of sports, video summarization also plays a critical role. With the global sports market growing rapidly—particularly football—video summarization provides valuable tools for tactical analysis and training reviews. It enables athletes and coaches to quickly revisit key moments and opponent strategies, thereby enhancing match preparation and understanding. For fans, summarization delivers an enhanced viewing experience by allowing them to enjoy the highlights—such as goals and turning points— without watching the entire match. This paper focuses on the development of video summarization algorithms. The following sections will introduce representative methods, datasets, and evaluation metrics in the field, and propose future directions for improvement.

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