基于深度卷积神经网络的视频目录关键帧提取算法研究

Yibei Chen, Ling Zhang, Xinghua Zhang, Yu Zhao, Yao-Min Feng, Yiyong Lin
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引用次数: 0

摘要

随着航天发射场图像通信系统建设的逐步完善,可视化指挥对视频图像检索的要求越来越高。现有的关键词检索方法已不能满足新一代航天任务网络通信的要求,需要发展基于内容的检索方法。针对视频信息非结构化、无法快速预览的问题,本文对视频关键帧提取算法进行了研究,提出了一种基于卷积神经网络的视频关键帧提取算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on key frame extraction algorithm based on deep convolutional neural network in video catalogue
With the gradual improvement of space launch sites image communication system construction, Visual command is increasingly demanding video image retrieval. The previous keyword retrieval method can not meet the requirements of new generation space mission network communication, content-based retrieval need to be developed. In view of the problem that video information is unstructured and cannot be quickly previewed, this paper studies the video key frame extraction algorithm and propose a video key frame extraction algorithm based on convolutional neural network.
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