An incremental probabilistic model for temporal theme analysis of landmarks

doi:10.1007/s00530-014-0431-8

	An incremental probabilistic model for temporal theme analysis of landmarks
	Min, Weiqing; Bao, Bing-Kun; Xu, Changsheng
发表期刊	MULTIMEDIA SYSTEMS
	2016-07-01
卷号	22 期号:4 页码:465-477
文章类型	Article
摘要	Social 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.
关键词	Landmark Temporal Themes Online Theme Model Periodic Themes
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s00530-014-0431-8
关键词[WOS]	LATENT SEMANTIC ANALYSIS ; SEARCH
收录类别	SCI
语种	英语
项目资助者	National Program on Key Basic Research Project (973 Program)(2012CB316304) ; Beijing Natural Science Foundation(4131004) ; National Natural Science Foundation of China(61225009 ; 61201374 ; 61432019)
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号	WOS:000378820500009
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11219
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 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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文件名称/大小	文献类型	版本类型	开放类型	使用许可
An incremental proba（1874KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载