Most current video summarization techniques focus on converting long videos into short summary clips by detecting semantically important parts of the original video. However, many summarization applications, such as personal summaries of weddings, travel videos, movie trailers, or short summaries for search, require summaries that include the entire content of the original video, not just the important parts. This paper proposes a technique for generating summary videos by combining highlight scenes representing important parts of the video with story-conveying scenes capturing the overall flow of the video. To achieve this objective, we introduce the concept of 'diversity contribution,' which numerically quantifies how much each individual scene contributes to creating a diverse scene composition in the summary video. The higher the proportion of scenes with high diversity contribution values, the more comprehensively the summary video incorporates the entire content of the original video. In this study, we developed an algorithm to create a summary video by adjusting the diversity contribution and importance of scenes in proportion, and verified its operation by implementing an actual summary application system. Furthermore, we confirmed through experiments that the accuracy of the summary technique presented in this paper was over 90%.
목차
Abstract 1. Introduction 2. Related Works 3. Proposed Approach 3.1 Overview 3.2 Step1: Calculating the importance score for each segment 3.3 Step2: Calculating the fitness score of each segment 3.4 Step3: Segment resizing for uninterrupted voice 4. Evaluation 4.1 Overview 4.2 Evaluation Result 4.3 Discussions and future works 5. Conclusion Acknowledgement References
키워드
Video SummarizationVideo HighlightVideo Story
저자
Eunbi Kim [ Undergraduate Student, School of Computer Engineering, Hansung University, Korea ]
Ahrin Jun [ Undergraduate Student, School of Computer Engineering, Hansung University, Korea ]
Danbi Yoon [ Undergraduate Student, School of Computer Engineering, Hansung University, Korea ]
Kitae Hwang [ Professor, School of Computer Engineering, Hansung University, Korea ]
Corresponding Author