It is next to impossible for a video summarization system to give perfect
summaries for all the users, for all the videos and that too all the time. To address these
deficiencies of any real world summarization system, we need to enhance the system by
providing them with tools that refine the generated summaries. Moreover, in today's
highly specialized world, a user might like to personalize the system for individual needs.
Personalization aims to build an adaptive summarization system that can change the
generated summaries in such a way that it is suitable for a particular person.