（复旦大学，中国 上海 200433）
Short Video Content Analysis Technology
XUE Xiangyang, LI Bin
（Fudan University, Shanghai 200433, China）
Abstract: The number of short videos has increased explosively, and has led to more technical requirements, such as editing, searching, recommendation, sourcing, censoring, and monitoring of short videos. The main features of short video data and the challenges faced by the short video content analysis technology are introduced. The research progress of short video content analysis technologies such as object detection, tracking, and re-identification is comprehensively analyzed. It is considered that only by building a system that integrates multiple algorithms, can the analysis problems be solved more accurately and robustly, and the short video content analysis task can be completed systematically.
Keywords: short video; content analysis technology; video object detection; multi-object tracking; person re-identification