Abstract: Automatic video summarization is absolutely necessary for fast browsing speed and effective management of large video libraries. Recent advancement in the technology have seen tremendous increase in the usage of multimedia information. Among all these multimedia information Video is most challenging one as it combines all other forms of multimedia information. As we know there is exponential increase of web videos and it’s become time-consuming to get a query result from the huge data. So it requires efficient and effective video management system. If we search for particular video in any search engine for ex. Google server it will give lakhs of results within few seconds which are may not be of our interest. Extracting a small number of keyframes that can compact the whole content of video is very important for efficient browsing and retrieval system. The number of key frames required to abstract a shot will depend on visual content complexity within the shot.
Keywords: Keyframe extraction, Shot, Scene, Entropy, Color histogram, augmented 3-D keyframe extraction, Triangle model of perceived energy, RPCA-KFE.
Title: Analysis of Various Keyframe Extraction Methods
Author: Priyanka U. Patil, Dr. Krishna K. Warhade
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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