10 April 2018 A novel sub-shot segmentation method for user-generated video
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061528 (2018) https://doi.org/10.1117/12.2302489
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
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.
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Zhuo Lei, Qian Zhang, Chi Zheng, Guoping Qiu, "A novel sub-shot segmentation method for user-generated video", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061528 (10 April 2018); doi: 10.1117/12.2302489; https://doi.org/10.1117/12.2302489
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