It disturbs the precision of many shot detection algorithms.
光照变化严重干扰了许多镜头检测的精度。
Shot detection is the basis of content-based video retrieval.
镜头检测是基于内容的视频检索的重要基础。
The X2 histogram match and grads method is used for shot detection.
首先用X2直方图匹配法检测镜头切换，梯度法检测镜头淡入淡出；
Shot detection is the first step in video content structured analysis.
镜头探测是视频内容结构化分析的第一步，也是非常关键的一步。
Anchorperson shot detection is an effective way of news video structuring.
播音员镜头探测是实现新闻视频结构化分析的有效途径。
In this paper, a shot detection method based on decompression is presented.
提出了一种基于解压的镜头探测方法。
Then a causal shot detection method is applied to news video shot detection.
最后，利用因果的镜头边界检测方法进行新闻镜头检测。
An algorithm for automatic shot detection is presented, using two-dimensional pattern matching.
为此，提出了一种基于二维模式匹配的镜头自动检测算法。
As a fundamental unit in video analysis, automatic shot detection and classification plays a significant role.
镜头是视频的基本组成单元，其自动检测与分类是视频分析的重要任务。
The experimental results show that the method is more accurate and effective in shot detection than other algorithms.
实验结果表明，该算法的分割效果明显优于其他几种算法，具有更高的探准率。
For video sequences, we introduce such techniques as shot detection, representation of shot content, semantic scene description.
对于视频序列，则介绍了镜头检测、镜头内容表示、场景的语义描述等技术。
Video segmentation is an important technology for video structuring and retrieval, with most research work now focused on shot detection.
视频分割是视频结构化和检索的重要技术，目前主要通过镜头分割得到。
Some of those proposed shot detection methods are realized and applied to content-based video retrieval system; experiments prove that they are effective.
把镜头探测算法实现应用到了基于内容视频检索系统中，做了大量的实验，取得了良好的效果。
To overcome the problem in RGB color model used to deal with video shot detection, proposes a method based HSV-color space model of scene cutting in video abstraction.
针对RGB彩色空间模型下统计直方图用于切分场景时，存在对内容变化不敏感、计算量大等问题，提出了一种基于HSV空间模型的视频场景切分方法。
Experimental results show that our algorithm not only detect direct shot change and gradual shot detection, but also eliminate the effect of flashlight and moving cameras.
实验证明本算法在压缩视频镜头检测方面取得了较好的检测结果。
Various shot detection methods in decompressed domain are studied. We realize shot detection based on two methods, such as color histogram difference and pixel-based domain.
研究了解压域镜头探测技术，实现了利用直方图差值探测镜头和基于像素域探测镜头两种方法。
Then we realize anchorperson shot detection and video news indexing based on semantic faces, which shows video object's important usage in analysis of video semantic contents.
然后基于语义人脸实现了主持人镜头检测和视频新闻结构化算法，体现了视频对象正视频内容分析中的基础作用。
Video shot detection is very crucial for content-based video analysis. Considering the importance of video shots, we propose a MPEG video shot detection based on decision tree.
压缩视频镜头的分割是视频内容分析中的一个难点，由于镜头在组织和索引视频中起关键性的作用，提出了一种基于决策树的MPEG视频镜头分割算法。
This paper present a simple shot detection method, video brightness information is used to detect abrupt shot and the combination of brightness and chroma information is used to detection.
本文提出了一种简单的镜头检测方法，该方法首先使用视频亮度信息检测突变镜头，然后使用亮度和色度信息检测渐变镜头。
The pixel-matching two-difference algorithm and two histogram comparison are used for shot detection, a method of extraction shot key frame based on distance of adjacent frame is presented.
首先使用改进了的像素匹配二次差分法结合双阈值法进行镜头突变和渐变的检测，然后对镜头内的帧间距离进行判断来提取关键帧；
Shot detection method often USES difference between frames to compute boundary detection threshold. In this paper, a quadratic difference based method for abrupt shot detection is presented.
通常的镜头检测方法都是利用帧间差来计算镜头边界的检测阈值，该文提出了一种基于二次帧差的突变镜头检测方法。
The FL-19 has six single-shot missile tubes with an integral electro-optical (EO) target detection and tracking unit, all mounted on the rear section of an armoured light truck.
FL-19有六根导弹发射管、一套集成的光电目标探测与追踪单元，都装在轻型装甲卡车的后部。
Shot cut detection is one of the challenging problems in video auto-index and retrieval.
如何在压缩域进行镜头的切变检测一直是视频自动索引和检索中的难点。
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。
The study on shot transition detection is an active research field in video analysis and retrieval.
镜头检测算法的研究是视频分析与检索中较为活跃的研究领域之一。
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。
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 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。
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