A comprehensive survey and mathematical insights towards video summarization |
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| Affiliation: | 1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China;2. Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong;3. School of Computer Science, The University of Sydney, NSW 2006, Australia;1. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China;3. College of Computer Science, Zhejiang University, Hangzhou, China;4. National University of Singapore, Singapore |
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| Abstract: | Video Summarization is a technique to reduce the original raw video into a short video summary. Video summarization automates the task of acquiring key frames/segments from the video and combining them to generate a video summary. This paper provides a framework for summarization based on different criteria and also compares different literature work related to video summarization. The framework deals with formulating model for video summarization based on different criteria. Based on target audience/ viewership, number of videos, type of output intended, type of video summary and summarization factor; a model generating video summarization framework is proposed. The paper examines significant research works in the area of video summarization to present a comprehensive review against the framework. Different techniques, perspectives and modalities are considered to preserve the diversity of survey. This paper examines important mathematical formulations to provide meaningful insights for video summarization model creation. |
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| Keywords: | Video Summarization Video Abstraction Video Segmentation Prior Knowledge Dynamic Video Summary Personalized Video Summary |
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