Abstract
This paper proposes a video summarization support system by interactive evolutionary computation. The system evaluates a solution on the basis of qualitative (user preference) and quantitative (redundancy and inappropriateness of video length) criteria. The system works well without depending on video category because of avoiding the use of features depending on the category.