视频关键数据提取技术

针对视频数据量大、存储难、人工检索慢等问题，本团队提出了一种高效的视频关键数据提取算法。该算法首先识别并跟踪视频中的运动目标，并进行属性提取。在此基础上，该算法可以将不同时间的目标浓缩在很小的一段时间内，并支持属性、时间点等形式的高级筛选。而且，该算法模型还提供了一套操作界面，用户能方便快捷的实现定制化的检索，大幅度提高检索效率。

To address the issues of large volume, difficult storage, and slow manual retrieval of video data, our team proposes an efficient video key data extraction algorithm. The algorithm first identifies and tracks moving objects in videos and extracts their attributes. On this basis, it can condense objects from different time periods into a very short timeframe, and supports advanced filtering in forms such as attributes and timestamps. Moreover, the algorithm model provides a complete operation interface, enabling users to conveniently and quickly implement customized retrieval, which greatly improves retrieval efficiency.

搜集汇总

背景与挑战

背景概述

该数据集提供了一种高效视频关键数据提取算法，通过运动目标识别跟踪和属性提取，实现时间浓缩与高级筛选，并配备操作界面提升检索效率。