On application-unbiased benchmarking of web videos from a social network perspective

doi:10.1007/s11042-014-2245-2

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	On application-unbiased benchmarking of web videos from a social network perspective
	Cao, Juan 1; Zhang, Yongdong 1; Ji, Rongrong 1; Li, Xin 2
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2016-02-01
卷号	75 期号:3 页码:1543-1556
关键词	Web video benchmark Social network Sampling bias MCG-WEBV 2.0
ISSN号	1380-7501
DOI	10.1007/s11042-014-2245-2
英文摘要	Along with the emerging focus of community-contributed videos on the web, there is a strong demand of a well-designed web video benchmark for the research of social network based video content analysis. The existing video datasets are challenged in two aspects: (1) as the data resource, most of them are narrowed for a specific task, either focusing on one content analysis task with limited scales, or focusing on the pure social network analysis without downloading video content. (2) as the evaluation platform, few of them pay attention to the potential bias introduced by the sampling criteria, therefore cannot fairly measure the task performance. In this paper, we release a large-scale web video benchmark named MCG-WEBV 2.0, which crawls 248,887 YouTube videos and their corresponding social network structure with 123,063 video contributors. MCG-WEBV 2.0 can be used to explore the fusion between content and network for several web video analysis tasks. Based on MCG-WEBV 2.0, we further explore the sampling bias lies in web video benchmark construction. While sampling a completely unbiased video benchmark from million-scale collection is unpractical, we propose a task-dependent measurement of such bias, which minimizes the correlation between the potential video sampling bias and the corresponding content analysis task, if such bias is unavoidable. Following this principle, we have shown several exemplar application scenarios in MCG-WEBV 2.0.
资助项目	National High Technology Research and Development Program of China[2014AA015202] ; National Nature Science Foundation of China[61172153] ; National Nature Science Foundation of China[61100087] ; National Key Technology Research and Development Program of China[2012BAH39B02] ; Beijing New Star Project on Science Technology[2007B071]
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000371309600012
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/8613]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Yongdong
作者单位	1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing, Peoples R China 2.Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
推荐引用方式 GB/T 7714	Cao, Juan,Zhang, Yongdong,Ji, Rongrong,et al. On application-unbiased benchmarking of web videos from a social network perspective[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2016,75(3):1543-1556.
APA	Cao, Juan,Zhang, Yongdong,Ji, Rongrong,&Li, Xin.(2016).On application-unbiased benchmarking of web videos from a social network perspective.MULTIMEDIA TOOLS AND APPLICATIONS,75(3),1543-1556.
MLA	Cao, Juan,et al."On application-unbiased benchmarking of web videos from a social network perspective".MULTIMEDIA TOOLS AND APPLICATIONS 75.3(2016):1543-1556.