Knowledge Commons of Institute of Automation,CAS
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. |
条目包含的文件 | ||||||
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 |
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