Description: 本源码是基于视频检索的镜头边界检测，能有效的检测渐变与突变。对于初涉该领域的人应该会有很大的帮助！-the source video retrieval is based on the shot boundary detection, the effective evolution and mutation detection. For a fledgling in the field should be of great help! Platform: |
Size: 146518 |
Author:张小军 |
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Description: 本源码是基于视频检索的镜头边界检测，能有效的检测渐变与突变。对于初涉该领域的人应该会有很大的帮助！-the source video retrieval is based on the shot boundary detection, the effective evolution and mutation detection. For a fledgling in the field should be of great help! Platform: |
Size: 422912 |
Author:张小军 |
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Description: 这是一种关于镜头边界检测的程序，是在基于信息熵的基础上完成的！-This is a shot boundary detection on the procedure is based on information entropy based on the completed! Platform: |
Size: 4157440 |
Author:jiangwei |
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Description: 基于mpeg2视频留的实时的镜头边界检测算法描述-Mpeg2 to stay based on the real-time video shot boundary detection algorithm described in Platform: |
Size: 904192 |
Author:zhangnan |
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Description: Shot boundary detection code version one, detects number of shots by using histogram differencing and using local and global thresholds
-Shot boundary detection code version one, detects number of shots by using histogram differencing and using local and global thresholds
Input:name of video
Output: Number of Shots detected Platform: |
Size: 1024 |
Author:roger |
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Description: Shot boundary detection is always an important topic in
digital video processing. It is the first important task of
content-based video retrieval and indexing. In this paper, a
new shot boundary detection algorithm is proposed, based on
Particle Swarm Optimization Classifier. This method firstly
takes the difference curves of U-component histograms as the
characteristics of the differences between video frames, and
then utilizes a Slide-Window Mean Filter to filter difference
curves and a KNN Classifier applying PSO to detect and
classify the shot transitions. This method has three advantages
that it is more sensitive to gradual transitions each curve
graphic with remarkable characteristics corresponds to a shot
transition Cuts and Gradual transitions could be detected in a
same step. As experiments shown, the performance of this
method is superior to the traditional shot boundary detection
methods, and this method can achieve high recall and
precision rate.-Shot boundary detection is always an important topic in
digital video processing. It is the first important task of
content-based video retrieval and indexing. In this paper, a
new shot boundary detection algorithm is proposed, based on
Particle Swarm Optimization Classifier. This method firstly
takes the difference curves of U-component histograms as the
characteristics of the differences between video frames, and
then utilizes a Slide-Window Mean Filter to filter difference
curves and a KNN Classifier applying PSO to detect and
classify the shot transitions. This method has three advantages
that it is more sensitive to gradual transitions each curve
graphic with remarkable characteristics corresponds to a shot
transition Cuts and Gradual transitions could be detected in a
same step. As experiments shown, the performance of this
method is superior to the traditional shot boundary detection
methods, and this method can achieve high recall and
precision rate. Platform: |
Size: 395264 |
Author:saeed |
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Description: 本文主要是对镜头边界检测和关键帧提取这两个关键技术还有基于内容的片段检索这三方面进行的研究
-This Paper focuses on the research of three as Peets,which include shot boundary detection, key frame extraction and segment retri based on the content.
Platform: |
Size: 4298752 |
Author:孔令昌 |
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Search - shot boundary detection