Title :
Fuzzy video summarization using key frame extraction
Author :
Kapoor, Ajay ; Biswas, Kanad K. ; Hanmandlu, M.
Author_Institution :
Amar Nath & Shashi Khosla Sch. of Inf. Technol., Indian Inst. of Technol. Delhi, New Delhi, India
Abstract :
In this paper we propose to summarize videos based on key frames. We improve upon the histogram and pixel difference based approach with fuzzy rule based approach and also give a new approach which reduces the computation of framewise differences. We test our methods using fidelity ratio and compression ratio on videos of sports from YouTube and UCF sports dataset, videos of commercials and sitcoms. The results of our methods are seen to be comparable to other state of the art approaches.
Keywords :
data compression; feature extraction; fuzzy set theory; statistical analysis; video signal processing; UCF sports dataset; YouTube; commercials; compression ratio; fidelity ratio; framewise differences; fuzzy rule based approach; fuzzy video summarization; histogram; key frame extraction; pixel difference; sitcoms; Europe; High definition video; Histograms; Image segmentation; Irrigation; Redundancy; Videos;
Conference_Titel :
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
Conference_Location :
Jodhpur
Print_ISBN :
978-1-4799-1586-6
DOI :
10.1109/NCVPRIPG.2013.6776235
