Shot clustering is an important aspect of video content analysis.
镜头聚类是视频内容分析的重要途径。
Shot clustering is an important issue in the field of video content analysis.
镜头聚类是视频内容分析的重要途径。
The basic task of shot clustering is to classify shots based on their low-level features.
镜头聚类是视频内容分析的重要途径。
Our experimental results demonstrate the performance of scene change detection based on shot is better than that of shot clustering based on multi-features.
实验表明，基于镜头的场景边界检测性能优于基于多特征的镜头聚类分析。
Based on the border in the shot clustering algorithm, we proposed the method of using the camera frame color image characteristics and the overall situation of movement to the scene segmentation.
在基于镜头边界的聚类算法基础上，提出了利用镜头帧图像的全局颜色特征和运动特征来分割场景的方法。
We propose a complete 3 step solution to construct video scenes based on shots, including: shot boundary detection, shot feature extraction, and shots clustering.
本文提出了一种基于镜头构造视频场景的思路，包括三个环节：镜头边界探测，镜头特征提取和镜头聚类。
The main topics include :1) This article proposes a improved clustering method for shot boundary detection .
文中提出了一种基于改进的聚类方法进行镜头切换检测。
The main topics include :1) This article proposes a improved clustering method for shot boundary detection .
文中提出了一种基于改进的聚类方法进行镜头切换检测。
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