OPT OpenIR  > 光学影像学习与分析中心
Key Frame Extraction in the Summary Space
Li, Xuelong1; Zhao, Bin2; Lu, Xiaoqiang1; Lu, XQ (reprint author), Chinese Acad Sci, Ctr Opt Imagery Anal & Learning, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
作者部门光学影像学习与分析中心
2018-06
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
卷号48期号:6页码:1923-1934
产权排序1
摘要

Key frame extraction is an efficient way to create the video summary which helps users obtain a quick comprehension of the video content. Generally, the key frames should be representative of the video content, meanwhile, diverse to reduce the redundancy. Based on the assumption that the video data are near a subspace of a high-dimensional space, a new approach, named as key frame extraction in the summary space, is proposed for key frame extraction in this paper. The proposed approach aims to find the representative frames of the video and filter out similar frames from the representative frame set. First of all, the video data are mapped to a high-dimensional space, named as summary space. Then, a new representation is learned for each frame by analyzing the intrinsic structure of the summary space. Specifically, the learned representation can reflect the representativeness of the frame, and is utilized to select representative frames. Next, the perceptual hash algorithm is employed to measure the similarity of representative frames. As a result, the key frame set is obtained after filtering out similar frames from the representative frame set. Finally, the video summary is constructed by assigning the key frames in temporal order. Additionally, the ground truth, created by filtering out similar frames from human-created summaries, is utilized to evaluate the quality of the video summary. Compared with several traditional approaches, the experimental results on 80 videos from two datasets indicate the superior performance of our approach.

关键词Diverse Key Frame Representative Summary Space
学科领域Automation & Control Systems
DOI10.1109/TCYB.2017.2718579
收录类别SCI
语种英语
WOS研究方向Automation & Control Systems ; Computer Science
WOS记录号WOS:000435342400020
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30402
专题光学影像学习与分析中心
通讯作者Lu, XQ (reprint author), Chinese Acad Sci, Ctr Opt Imagery Anal & Learning, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
作者单位1.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
2.Northwestern Polytech Univ, Ctr Opt Imagery Anal & Learning, Xian 710072, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Li, Xuelong,Zhao, Bin,Lu, Xiaoqiang,et al. Key Frame Extraction in the Summary Space[J]. IEEE TRANSACTIONS ON CYBERNETICS,2018,48(6):1923-1934.
APA Li, Xuelong,Zhao, Bin,Lu, Xiaoqiang,&Lu, XQ .(2018).Key Frame Extraction in the Summary Space.IEEE TRANSACTIONS ON CYBERNETICS,48(6),1923-1934.
MLA Li, Xuelong,et al."Key Frame Extraction in the Summary Space".IEEE TRANSACTIONS ON CYBERNETICS 48.6(2018):1923-1934.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Key Frame Extraction(2123KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Xuelong]的文章
[Zhao, Bin]的文章
[Lu, Xiaoqiang]的文章
百度学术
百度学术中相似的文章
[Li, Xuelong]的文章
[Zhao, Bin]的文章
[Lu, Xiaoqiang]的文章
必应学术
必应学术中相似的文章
[Li, Xuelong]的文章
[Zhao, Bin]的文章
[Lu, Xiaoqiang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Key Frame Extraction in the Summary Space.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。