On application-unbiased benchmarking of web videos from a social network perspective
文献类型：期刊论文
| 作者 | Cao, Juan1; Zhang, Yongdong1; Ji, Rongrong1; Li, Xin2 |
| 刊名 | MULTIMEDIA TOOLS AND APPLICATIONS
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000371309600012 |
| 出版者 | SPRINGER |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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