Key Frame Extractions and Methodologies Essay

Key Frame Extractions and Methodologies Essay

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Moving object detection finds lot of application surveillance and traffic monitoring. There are many methods for object detection. Object detection generally involves Key-Frame extraction and Background Subtraction. Key frame extraction summarizes video by eliminating transitional frames, thus reducing computational load. Frame difference, local binary differential, wavelet based and histogram based methods are some of the methodologies used to obtain key frames.
The frames which contain all the important information of a video shot are called the key frames of that video shot. Current day, Video sequences that have high frame rate and high resolution. A video of frame rate 25fps and 1920X1080 grayscale image produces approximately 6MB of data every second. The amount of data to be processed can be reduced by choosing only the key frames from video shot. Key frames are set of frames that summarize a video shot. Applying image processing algorithms only on key frames reduces computational load with little loss in generality. A video sequence containing moving object has many transitional frames that have very minimum displacement when compared to its position in the previous frame.Key Frame Extraction techniques drop frames that do not show significant changes with respect to previous frames while maintain the essential information required for human eye to judge the direction and apparent change in motion of the object. Such techniques find application in video compression, content based video retrieval and video classification.
Most algorithms for key frame extraction involve finding inter frame distance and comparing it with threshold. Wavelet Transformation, local binary pattern (texture b...

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...e Hui, "An improved canny edge detection algorithm based on predisposal method for image corrupted by gaussian noise," World Automation Congress (WAC), 2010 , vol., no., pp.113,116, 19-23 Sept. 2010.
Caixia Deng; Weifeng Ma; Yin Yin, "An edge detection approach of image fusion based on improved Sobel operator," Image and Signal Processing (CISP), 2011 4th International Congress on , vol.3, no., pp.1189,1193, 15-17 Oct. 2011.
Fan Zhang; Lei Yang; Guangwen Zhang, "Adaptive fast Gaussian background subtraction algorithm," Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on , vol., no., pp.766,771, 29-31 Dec. 2012
Xiaochun Zou; Xinbo Zhao; Zheru Chi, "A robust background subtraction approach with a moving camera," Computing and Convergence Technology (ICCCT), 2012 7th International Conference on , vol., no., pp.1026,1029, 3-5 Dec. 2012

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