USING DEEP LEARNING TO SUMMARIZE VIDEOS!
As the quantity of videos on the internet has increased even the search engine like google returns a huge number of videos reducing the user experience.
Video summarization(VS) can help to reduce the time consumed in going through all the outputs and retrieving most relevant videos. Static video summarization(VS) extracts a set of keyframes which summarizes the entire video.
Dynamic video summarization(VS) is a collection of few shots which are chosen on the basis of similarity and domain specific relationship among video shots.
There are various video summarization(VS) techniques. For example, Feature based VS summarizes the video on the basis of colour, motion,voice etc. VS based using clustering, Tag localization and key-shot identification approach, Bag of importance model are the other techniques for video summarization.