Video summarization using human behaviour analysis

Abstract

In this fast evolving era the amount of multimedia data available is accumulating in an exponential way Learning a new technology through a video provide great pedagogical benefits So to facilitate the selection of the appropriate video requires accurate summarization This Video Summarization VS concept is flourishing in different aspect in recent years Through this research work we propose an efficacious way of video summarization VS is one of the recent and attractive research studies of video content in news sports videos TV reality shows and movie reviews etc Based on the task in digital video technology An automatic recognition of facial expressions is the necessary task in VS which is used in behavioral science and in clinical practice The reliable recognition of facial expression by a machine is critical compared to that by a human The non uniqueness and the deformations in the human face require the toleration in human action recognition system This research work proposes an effective toleration of facial variations themselves and addresses the problems in facial expression and video summarization and focuses the Multi user Facial Expressions for Video Summarization MFE VS newline