User Adaptive Video Summarization

Video Summarization shortens a video content by extracting the most significant part from it and presenting the extracted contents in a summarized form that maybe a collection of keyframes or key shots in temporal sequence. In the recent past, various techniques have been suggested for automatic summarization of videos. It has been observed that summarization of videos is a subjective task and the traditional approaches of summarization though, are capable of generating generic summaries but are often incapable of generating the most appropriate and customized summary as desired by the user. A user intuitive and adaptive approach enables to summarize the video as per the preference of the user. In this paper, we discuss various frameworks for generating a user preference-based summary from a video. We explore the possible approaches and techniques available for generating a user adaptive video summary and present a comparative analysis of the techniques to provide an insight to the researchers working in this area.