A Shot Boundary Detection Method for News Video Based on Rough Sets and Fuzzy Clustering

2005 ◽  
pp. 231-238 ◽  
Author(s):  
Xin-bo Gao ◽  
Bing Han ◽  
Hong-bing Ji
Keyword(s):  
Fuzzy Clustering ◽  
Rough Sets ◽  
Detection Method ◽  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Shot Boundary ◽  
News Video

Shot Boundary Detection Method for News Video

2013 ◽  
Vol 8 (12) ◽  
Author(s):  
Ming Jiang ◽  
Jingcheng Huang ◽  
Xingqi Wang ◽  
Jingfan Tang ◽  
Chunming Wu
Keyword(s):  
Detection Method ◽  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Shot Boundary ◽  
News Video

Rapid Shot Boundary Detection Algorithm Based on Rough Sets in Video Compressed Domain

2009 ◽  
Vol 1 (2) ◽  
pp. 70-78 ◽  
Author(s):  
L. Xiang-Wei ◽  
L. Zhan-Ming ◽  
Z. Ming-Xin ◽  
Z. Ya-lLn ◽  
W. Wei-Yi
Keyword(s):  
Rough Sets ◽  
Boundary Detection ◽  
Detection Algorithm ◽  
Shot Boundary Detection ◽  
Compressed Domain ◽  
Shot Boundary

A unified scheme of shot boundary detection and anchor shot detection in news video story parsing

2010 ◽  
Vol 51 (3) ◽  
pp. 1127-1145 ◽  
Author(s):  
Hansung Lee ◽  
Jaehak Yu ◽  
Younghee Im ◽  
Joon-Min Gil ◽  
Daihee Park
Keyword(s):  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Shot Detection ◽  
Shot Boundary ◽  
News Video

scholarly journals Shot Boundary Detection Method Based on a New Extensive Dataset and Mixed Features

2021 ◽  
Author(s):  
Alexander Gushchin ◽  
Anastasia Antsiferova ◽  
Dmitriy Vatolin
Keyword(s):  
Detection Method ◽  
Boundary Detection ◽  
Video Data ◽  
Video Codec ◽  
Shot Boundary Detection ◽  
Test Results ◽  
Scene Change Detection ◽  
Mixed Features ◽  
Color Histograms ◽  
Shot Boundary

Shot boundary detection in video is one of the key stages of video data processing. A new method for shot boundary detection based on several video features, such as color histograms and object boundaries, has been proposed. The developed algorithm was tested on the open BBC Planet Earth [1] and RAI [2] datasets, and the MSU CC datasets, based on videos used in the video codec comparison conducted at MSU, as well as videos from the IBM set, were also plotted. The total dataset for algorithm development and testing exceeded the known TRECVID datasets. Based on the test results, the proposed algorithm for scene change detection outperformed its counterparts with a final F-score of 0.9794.

Research for Algorithm of Shot Boundary Detection Robustness Based on Fuzzy Clustering

2012 ◽  
Vol 182-183 ◽  
pp. 1698-1702
Author(s):  
Hong Cai Feng ◽  
Wei Gang Hu ◽  
Yong Gong
Keyword(s):  
Fuzzy Clustering ◽  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Frame Difference ◽  
Shot Detection ◽  
Strong Robustness ◽  
Feature Weight ◽  
Shot Boundary

In order to reduce the effects caused by flash, subtitles, camera movement and other factors on shot detection, the method of segmenting images using histogram is improved. The frame difference between blocks are used as characters, and the weight of the blocks are used as feature weight to do fuzzy clustering . The images are pretreated according to the characteristics such as video mutation and gradually changing border. The effect that the factors of flash, subtitles, camera movement etc have on the shot boundary detection is excluded, finally the shot boundary detection is realized. The experiment shows that , whatever the video is ,the method has relatively strong robustness.

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