Abstract
Video summarization is an important task in the field of computer vision, with applications in many areas, such as video surveillance, video indexing, and video recommendation. It aims to generate a concise and informative summary of a video by selecting the most important frames or segments.Web-based applications for video summarization offer a number of advantages over traditional desktop-based applications. First, they are more accessible, as they can be used from any device with a web browser. Second, they are more scalable, as they can be deployed on cloud servers to handle large volumes of video data. Third, they are more collaborative, as they can be used to share and discuss video summaries with others. Keywords: Text summarization, model, video.
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