Title :
A novel video summarization algorithm
Author :
Yang, Xue ; Wei, Zhicheng
Author_Institution :
Coll. of Phys. Sci. & Inf. Eng., Hebei Normal Univ., Shijiazhuang, China
Abstract :
This paper presents a new genetic algorithm based method for video summarization. We pick out the least similar images from original video by measuring the differences with the technique of color histograms. Based on this reduced set, fitness function is defined for genetic algorithm to search the optimized frames. Experimental results show that the proposed method can capture more information than the traditional method and avoid redundancy. Moreover this algorithm has a distinct advantage in terms of time.
Keywords :
genetic algorithms; image colour analysis; multimedia computing; video signal processing; color histograms; genetic algorithm; multimedia technology; video summarization algorithm; Biological cells; Encoding; Genetic algorithms; Histograms; Image color analysis; Redundancy; Streaming media; fitness function; genetic algorithm; keyframe; video summarization;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6003029
