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

The Application of Fast and Effective Shot Boundary Detection Algorithm in Mechanical Engineering

2013 ◽  
Vol 681 ◽  
pp. 121-125 ◽  
Author(s):  
Xin Jun Li ◽  
Ping Chen
Keyword(s):  
Boundary Detection ◽  
Detection Algorithm ◽  
Shot Boundary Detection ◽  
Compressed Domain ◽  
Video Content ◽  
Video Content Analysis ◽  
Shot Boundary ◽  
On Line ◽  
Type Information ◽  
F Measure

In this paper, a novel shot boundary detection algorithm is proposed that operates completely in the compressed domain using macroblock type information. While the proposed algorithm can save a lot of computation cost, extensive experiments support that the proposed algorithm also achieves superior performances. Such technique will provide a range of useful applications for on-line video content analysis, processing, and management. Experimental results show that the proposed shot boundary detection algorithm achieve a high recall, precision and F measure.

scholarly journals Shot Boundary Detection Algorithm Based on Multi-Feature Fusion

2013 ◽  
Vol 347-350 ◽  
pp. 3866-3871
Author(s):  
Kai Jin ◽  
Hong Cai Feng ◽  
Qi Feng ◽  
Chi Zhang
Keyword(s):  
Feature Fusion ◽  
Texture Feature ◽  
Boundary Detection ◽  
Detection Algorithm ◽  
Shot Boundary Detection ◽  
Features Fusion ◽  
Orientation Histogram ◽  
Video Shot ◽  
Shot Boundary ◽  
The Ideal

To establish a general and robust shot boundary detection algorithm, according to characteristics of lens conversion and the ideal of multiple video features fusion, a shot boundary detection algorithm is proposed based on YUV histogram, texture feature and edge orientation histogram in the paper. Besides, global and self-adaptive threshold are combined to use so as to control the process of shot boundary detection and enhance the accuracy of threshold selection. The experiment results show that the algorithm can effectively realize video shot boundary detection and strengthen the robustness of the detection.

Fast Video Shot Boundary Detection Technique based on Stochastic Model

2016 ◽  
Vol 6 (2) ◽  
pp. 1-17
Author(s):  
Mohammad A. Al-Jarrah ◽  
Faruq A. Al-Omari
Keyword(s):  
Stochastic Model ◽  
Video Processing ◽  
High Performance ◽  
Boundary Detection ◽  
Video Stream ◽  
Detection Algorithm ◽  
Shot Boundary Detection ◽  
Different Types ◽  
Video Shot ◽  
Shot Boundary

A video is composed of set of shots, where shot is defined as a sequence of consecutive frames captured by one camera without interruption. In video shot transition could be a prompt (hard cut) or gradual (fade, dissolve, and wipe). Shot boundary detection is an essential component of video processing. These boundaries are utilized on many aspect of video processing such as video indexing, and video in demand. In this paper, the authors proposed a new shot boundary detection algorithm. The proposed algorithm detects all type of shot boundaries in a high accuracy. The algorithm is developed based on a global stochastic model for video stream. The proposed stochastic model utilizes the joined characteristic function and consequently the joined momentum to model the video stream. The proposed algorithm is implemented and tested against different types of categorized videos. The proposed algorithm detects cuts fades, dissolves, and wipes transitions. Experimental results show that the algorithm has high performance. The computed precision and recall rates validated its performance.

A compressed-domain approach for shot boundary detection on H.264/AVC bit streams

2008 ◽  
Vol 23 (7) ◽  
pp. 473-489 ◽  
Author(s):  
Sarah De Bruyne ◽  
Davy Van Deursen ◽  
Jan De Cock ◽  
Wesley De Neve ◽  
Peter Lambert ◽  
...  
Keyword(s):  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Compressed Domain ◽  
Shot Boundary
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