And Key Frame Extraction 和关键帧提取
This paper proposes a key frame extraction algorithm based on Rough Set(RS) in compressed domain.
提出一种基于粗糙集(RS)的压缩域关键帧提取算法。
参考来源 - 基于粗糙集的压缩域关键帧提取算法The major contributions of the dissertation are summarized as follows:1. Two content analysis methods based on motion characteristics are proposed, i. e. , a new multi-metric scene cut detection method and a key frame extraction method based on acceleration.
论文的主要研究成果有:1.提出了适用于视频编码的视频场景分析方法,包括一种实时多测度突变场景检测算法和一种基于运动加速度的关键帧提取算法。
参考来源 - 结合应用层抗误码工具的无线视频传输技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Firstly, we do video segmentation and key frame extraction.
首先，进行视频分割和提取关键帧。
Finally, we do some discussion in key frame extraction and shot cluster.
最后，对关键帧提取和镜头聚类等方面做了一定的探讨。
During key frame extraction, the concept of image entropy is used after shot being segmented into sub-shots.
在关键帧提取阶段，将镜头分割为子镜头后，引入图像熵的概念提取关键帧。
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