Shot Boundary Detection Using Genetic Algorithm Optimization

2011 ◽  
Author(s):  
Calvin Chan ◽  
Alexander Wong
Keyword(s):  
Genetic Algorithm ◽  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Algorithm Optimization ◽  
Genetic Algorithm Optimization ◽  
Shot Boundary

scholarly journals A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Dalton Meitei Thounaojam ◽  
Thongam Khelchandra ◽  
Kh. Manglem Singh ◽  
Sudipta Roy
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Fuzzy System ◽  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Detection Approach ◽  
Video Shot ◽  
Shot Boundary ◽  
Fuzzy Logic Approach ◽  
Logic Approach

This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In this, the membership functions of the fuzzy system are calculated using Genetic Algorithm by taking preobserved actual values for shot boundaries. The classification of the types of shot transitions is done by the fuzzy system. Experimental results show that the accuracy of the shot boundary detection increases with the increase in iterations or generations of the GA optimization process. The proposed system is compared to latest techniques and yields better result in terms ofF1scoreparameter.

GIS-based genetic algorithm optimization tool for supporting land use and land management restructuring

2007 ◽  
Vol 13 (1s) ◽  
pp. 33-37
Author(s):  
V. Makarenko ◽  
◽  
G. Ruecker ◽  
R. Sommer ◽  
N. Djanibekov ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Land Use ◽  
Land Management ◽  
Algorithm Optimization ◽  
Genetic Algorithm Optimization

An Efficient Shot Boundary Detection Using Data-cube Searching Technique

2020 ◽  
Vol 13 (4) ◽  
pp. 798-807
Author(s):  
J. Kavitha ◽  
P. Arockia Jansi Rani ◽  
P. Mohamed Fathimal ◽  
Asha Paul
Keyword(s):  
Texture Features ◽  
Boundary Detection ◽  
Data Cube ◽  
Multimedia Data ◽  
Shot Boundary Detection ◽  
Gradual Transition ◽  
Detection Rates ◽  
Effective Manner ◽  
Shot Boundary ◽  
Shot Transitions

Background:: In the internet era, there is a prime need to access and manage the huge volume of multimedia data in an effective manner. Shot is a sequence of frames captured by a single camera in an uninterrupted space and time. Shot detection is suitable for various applications such that video browsing, video indexing, content based video retrieval and video summarization. Objective:: To detect the shot transitions in the video within a short duration. It compares the visual features of frames like correlation, histogram and texture features only in the candidate region frames instead of comparing the full frames in the video file. Methods: This paper analyses candidate frames by searching the values of frame features which matches with the abrupt detector followed by the correct cut transition frame with in the datacube recursively until it detects the correct transition frame. If they are matched with the gradual detector, then it will give the gradual transition ranges, otherwise the algorithm will compare the frames within the next datacube to detect shot transition. Results:: The total average detection rates of all transitions computed in the proposed Data-cube Search Based Shot Boundary Detection technique are 92.06 for precision, 96.92 for recall and 93.94 for f1 measure and the maximum accurate detection rate. Conclusion:: Proposed method for shot transitions uses correlation value for searching procedure with less computation time than the existing methods which compares every single frame and uses multi features such as color, edge, motion and texture features in wavelet domain.

Genetic algorithm optimization for storing arbitrary multimode transverse images in thermal atomic vapor

2021 ◽  
Vol 118 (23) ◽  
pp. 234001
Author(s):  
Yun Chen ◽  
Chengyuan Wang ◽  
Ya Yu ◽  
Zibin Jiang ◽  
Jinwen Wang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Atomic Vapor ◽  
Algorithm Optimization ◽  
Genetic Algorithm Optimization
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