Visual Attention Based Keyframes Extraction and Video Summarization
Recent developments in digital video and drastic increase of internet use have increased the amount of people searching and watching videos online. In order to make the search of the videos easy, Summary of the video may be provided along with each video. The video summary provided thus should be effective so that the user would come to know the content of the video without having to watch it fully. The summary produced should consists of the key frames that effectively express the content and context of the video. This paper suggests a method to extract key frames which express most of the information in the video. This is achieved by quantifying Visual attention each frame commands.