CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
An incremental probabilistic model for temporal theme analysis of landmarks
Min, Weiqing; Bao, Bing-Kun; Xu, Changsheng
Source PublicationMULTIMEDIA SYSTEMS
2016-07-01
Volume22Issue:4Pages:465-477
SubtypeArticle
AbstractSocial media sites (e.g., Flickr) generate a huge amount of landmark photos with temporal information in the real-world, such as the photos describing the events happening near landmarks, and those showing different seasonal sceneries. Analyzing this temporal information of landmarks can benefit various applications, such as landmark timeline construction and tour recommendation. In this paper, we propose a novel Incremental Spatio-Temporal Theme Model (ISTTM), which can incrementally mine temporal themes that characterize the temporal information of landmarks, by differentiating them from the other three kinds of themes, i.e., general themes shared by most of all landmarks, local themes related to certain landmarks and the background theme including non-informative content. ISTTM works in an online way and is capable of selectively processing the updates of the distributions on different types of themes. Based on the proposed ISTTM, we present a framework, namely Temporal Theme Analysis for Landmarks (TTAL), which enables both periodic theme detection from discovered temporal themes and temporal theme visualization by selecting the relevant photos. We have conducted experiments on a large-scale landmark dataset from Flickr. Qualitative and quantitative evaluation results demonstrate the effectiveness of the ISTTM as well as the TTAL framework.
KeywordLandmark Temporal Themes Online Theme Model Periodic Themes
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00530-014-0431-8
WOS KeywordLATENT SEMANTIC ANALYSIS ; SEARCH
Indexed BySCI
Language英语
Funding OrganizationNational Program on Key Basic Research Project (973 Program)(2012CB316304) ; Beijing Natural Science Foundation(4131004) ; National Natural Science Foundation of China(61225009 ; 61201374 ; 61432019)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000378820500009
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11219
Collection模式识别国家重点实验室_多媒体计算与图形学
AffiliationChinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Min, Weiqing,Bao, Bing-Kun,Xu, Changsheng. An incremental probabilistic model for temporal theme analysis of landmarks[J]. MULTIMEDIA SYSTEMS,2016,22(4):465-477.
APA Min, Weiqing,Bao, Bing-Kun,&Xu, Changsheng.(2016).An incremental probabilistic model for temporal theme analysis of landmarks.MULTIMEDIA SYSTEMS,22(4),465-477.
MLA Min, Weiqing,et al."An incremental probabilistic model for temporal theme analysis of landmarks".MULTIMEDIA SYSTEMS 22.4(2016):465-477.
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