@inproceedings{8cf02394351c4614af69dfb2184c985c,
title = "Key object-based static video summarization",
abstract = "In this paper, we present a system for object-based video summarization facilitated by an efficient video object segmentation system. We eliminate the redundancy not only from spatial and temporal domain, but also from content domain. First, we detect shot boundaries and extract video objects by a 3D graph-based algorithm. Once the objects are obtained, the shape of the objects need to be represented. The key objects are extracted in a global manner by K-means clustering of shapes. Experimental results on the proposed object-based scheme combined with efficient video object segmentation show desirable summarization.",
keywords = "Graph cuts, Key actions, Video object segmentation, Video object summarization",
author = "Zhiqiang Tian and Jianru Xue and Xuguang Lan and Ce Li and Nanning Zheng",
year = "2011",
doi = "10.1145/2072298.2071999",
language = "英语",
isbn = "9781450306164",
series = "MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops",
pages = "1301--1304",
booktitle = "MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops",
note = "19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11 ; Conference date: 28-11-2011 Through 01-12-2011",
}