@inproceedings{c11c4eb08c3f44bc9d95df560b6f1cde,
title = "A novel sub-shot segmentation method for user-generated video",
abstract = "With the proliferation of the user-generated videos, temporal segmentation is becoming a challengeable problem. Traditional video temporal segmentation methods like shot detection are not able to work on unedited user-generated videos, since they often only contain one single long shot. We propose a novel temporal segmentation framework for user-generated video. It finds similar frames with a tree partitioning min-Hash technique, constructs sparse temporal constrained affinity sub-graphs, and finally divides the video into sub-shot-level segments with a dense-neighbor-based clustering method. Experimental results show that our approach outperforms all the other related works. Furthermore, it is indicated that the proposed approach is able to segment user-generated videos at an average human level.",
keywords = "Clustering, Min-Hash, User-Generated Video, Video Temporal Segmentation",
author = "Zhuo Lei and Qian Zhang and Chi Zheng and Guoping Qiu",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; 9th International Conference on Graphic and Image Processing, ICGIP 2017 ; Conference date: 14-10-2017 Through 16-10-2017",
year = "2018",
doi = "10.1117/12.2302489",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Hui Yu and Junyu Dong",
booktitle = "Ninth International Conference on Graphic and Image Processing, ICGIP 2017",
address = "United States",
}