A novel video shot boundary detection algorithm is presented based on the feature tracking.
针对视频镜头边界检测，提出了一种基于特征跟踪的新算法。
Video shot boundary detection is under global concern as the first step of all kinds of video processing.
视频镜头分割作为视频处理的第一步，一直受到学者的关注和重视，数十年来已提出了大量的算法。
Shot boundary detection is the first essential step in content-based video retrieval.
镜头边界检测是基于内容的视频检索首先要解决的问题。
Shot boundary detection is the first step of the video content analysis.
镜头边界检测是进行视频内容分析的首要步骤。
Shot boundary detection is the basis of video analysis.
镜头边界检测是视频分析的基础。
Shot boundary detection is an important step in video analysis.
镜头边界检测是视频分析的重要一步。
Shot boundary detection is an important step in video applications.
镜头边缘检测是视频处理应用的重要环节。
Shot boundary detection is the first step in video structure.
镜头切换检测是视频结构化的第一步。
Automatic video segmentation, which is based on SBD (shot boundary detection), is one necessary step in establishing video databases.
视频自动分割是实现视频数据库检索必不可少的一个过程，其基础是镜头边界检测。
Shot boundary detection is a key technology in content based video retrieval system.
镜头边界检测是基于内容视频检索中的关键技术。
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。
For video temporal segmentation, a so-called "robustness criterion" is proposed to evaluate shot boundary detection algorithms.
论文为视频切变检测算法提出了“鲁棒性”评价准则，指出好的算法应该有较强的推广能力。
For video temporal segmentation, a so-called "robustness criterion" is proposed to evaluate shot boundary detection algorithms.
论文为视频切变检测算法提出了“鲁棒性”评价准则，指出好的算法应该有较强的推广能力。
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