CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Automatic group activity annotation for mobile videos
Zhao, Chaoyang1; Wang, Jinqiao1; Li, Jianqiang2; Lu, Hanqing1
Source PublicationMULTIMEDIA SYSTEMS
2017-11-01
Volume23Issue:6Pages:667-677
SubtypeArticle
AbstractDue to the rapid growth of modern mobile devices, users can capture a variety of videos at anytime and anywhere. The explosive growth of mobile videos brings about the difficulty and challenge on categorization and management. In this paper, we propose a novel approach to annotate group activities for mobile videos, which helps tag each person with an activity label, thus helping users efficiently manage the uploaded videos. To extract rich context information, we jointly model three co-existing cues including the activity duration time, individual action feature and the context information shared between person interactions. Then these appearances and context cues are modeled with a structure learning framework, which can be solved by inference with a greedy forward search. Moreover, we can infer group activity labels of all the persons together with their activity durations, especially for the situation with multiple group activities co-existing. Experimental results on mobile video dataset show that the proposed approach achieves outstanding results for group activity classification and annotation.
KeywordActivity Annotation Group Activity Context Learning
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00530-016-0514-9
WOS KeywordRECOGNITION ; CONTEXT ; MODELS
Indexed BySCI
Language英语
Funding Organization863 Program(2014AA015104) ; National Natural Science Foundation of China(61273034 ; 61332016)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000415313700003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20112
Collection模式识别国家重点实验室_图像与视频分析
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
2.Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Chaoyang,Wang, Jinqiao,Li, Jianqiang,et al. Automatic group activity annotation for mobile videos[J]. MULTIMEDIA SYSTEMS,2017,23(6):667-677.
APA Zhao, Chaoyang,Wang, Jinqiao,Li, Jianqiang,&Lu, Hanqing.(2017).Automatic group activity annotation for mobile videos.MULTIMEDIA SYSTEMS,23(6),667-677.
MLA Zhao, Chaoyang,et al."Automatic group activity annotation for mobile videos".MULTIMEDIA SYSTEMS 23.6(2017):667-677.
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