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

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 Compressed-Domain Shot Boundary Detection for H.264/AVC Using Intra Partitioning Maps

2011 ◽  
pp. 29-39 ◽  
Author(s):  
Sarah De Bruyne ◽  
Jan De Cock ◽  
Chris Poppe ◽  
Charles-Frederik Hollemeersch ◽  
Peter Lambert ◽  
...  
Keyword(s):  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Compressed Domain ◽  
Shot Boundary

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.

RELIABLE TRANSITION DETECTION IN VIDEOS: A SURVEY AND PRACTITIONER'S GUIDE

2001 ◽  
Vol 01 (03) ◽  
pp. 469-486 ◽  
Author(s):  
RAINER LIENHART
Keyword(s):  
Video Processing ◽  
Boundary Detection ◽  
Shot Boundary Detection ◽  
Detection Techniques ◽  
Core Concepts ◽  
Reliable Performance ◽  
Shot Boundary ◽  
Transition Effects ◽  
Detection Schemes

A large number of shot boundary detection, or equivalently, transition detection techniques have been developed in recent years. They all can be classified based on a few core concepts underlying the different detection schemes. This survey emphasizes those different core concepts underlying the different detection schemes for the three most widely used video transition effects: hard cuts, fades and dissolves. Representative of each concept one or a few very sound and thoroughly tested approaches are present in detail, while others are just listed. Whenever reliable performance numbers could be found in the literature, they are mentioned. Guidelines for practitioners in video processing are also given.

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