Video Shot Boundary Detection and Key Frame Extraction for Video Retrieval

2018 ◽  
pp. 557-567 ◽  
Author(s):  
G. S. Naveen Kumar ◽  
V. S. K. Reddy ◽  
S. Srinivas Kumar
Keyword(s):  
Video Retrieval ◽  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Key Frame Extraction ◽  
Key Frame ◽  
Video Shot ◽  
Shot Boundary

scholarly journals Key Feature Extraction for Video Shot Boundary Detection using CNN

2020 ◽  
Vol 8 (5) ◽  
pp. 4763-4769
Keyword(s):  
Feature Extraction ◽  
Video Retrieval ◽  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Gradual Transition ◽  
Novel Approach ◽  
The Matrix ◽  
Video Shot ◽  
Shot Boundary ◽  
Fully Connected

Now days as the progress of digital image technology, video files raise fast, there is a great demand for automatic video semantic study in many scenes, such as video semantic understanding, content-based analysis, video retrieval. Shot boundary detection is an elementary step for video analysis. However, recent methods are time consuming and perform badly in the gradual transition detection. In this paper we have projected a novel approach for video shot boundary detection using CNN which is based on feature extraction. We designed couple of steps to implement this method for automatic video shot boundary detection (VSBD). Primarily features are extracted using H, V&S parameters based on mean log difference along with implementation of histogram distribution function. This feature is given as an input to CNN algorithm which detects shots which is based on probability function. CNN is implemented using convolution and rectifier linear unit activation matrix which is followed after filter application and zero padding. After downsizing the matrix it is given as a input to fully connected layer which indicates shot boundaries comparing the proposed method with CNN method based on GPU the results are encouraging with substantially high values of precision Recall & F1 measures. CNN methods perform moderately better for animated videos while it excels for complex video which is observed in the results.

Color-Based Video Shot Boundary Detection

2006 ◽  
pp. 525-548
Author(s):  
Nikos Nikolaidis ◽  
Costas Cotsaces ◽  
Zuzana Cernekova ◽  
Ioannis Pitas
Keyword(s):  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Video Shot ◽  
Shot Boundary
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