Multimedia News Summarization in Search

doi:10.1145/2822907

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 图像与视频分析团队

	Multimedia News Summarization in Search
	Li, Zechao 1; Tang, Jinhui 1; Wang, Xueming 1; Liu, Jing2 ; Lu, Hanqing2
刊名	ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
	2016-04-01
卷号	7 期号:3
关键词	Design Algorithms Performance Human Factors News Summarization Topic Structure Multimodal Hierarchical Latent Dirichlet Allocation Maximum Spanning Tree
DOI	10.1145/2822907
文献子类	Article
英文摘要	It is a necessary but challenging task to relieve users from the proliferative news information and allow them to quickly and comprehensively master the information of the whats and hows that are happening in the world every day. In this article, we develop a novel approach of multimedia news summarization for searching results on the Internet, which uncovers the underlying topics among query-related news information and threads the news events within each topic to generate a query-related brief overview. First, the hierarchical latent Dirichlet allocation (hLDA) model is introduced to discover the hierarchical topic structure from query-related news documents, and a new approach based on the weighted aggregation and max pooling is proposed to identify one representative news article for each topic. One representative image is also selected to visualize each topic as a complement to the text information. Given the representative documents selected for each topic, a time-bias maximum spanning tree (MST) algorithm is proposed to thread them into a coherent and compact summary of their parent topic. Finally, we design a friendly interface to present users with the hierarchical summarization of their required news information. Extensive experiments conducted on a large-scale news dataset collected from multiple news Web sites demonstrate the encouraging performance of the proposed solution for news summarization in news retrieval.
WOS关键词	ENTROPY
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000373911200008
资助机构	973 Program(2014CB347600) ; National Natural Science Foundation of China(61522203 ; 61402228)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/12202]
专题	自动化研究所_模式识别国家重点实验室_图像与视频分析团队
作者单位	1.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Zechao,Tang, Jinhui,Wang, Xueming,et al. Multimedia News Summarization in Search[J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,2016,7(3).
APA	Li, Zechao,Tang, Jinhui,Wang, Xueming,Liu, Jing,&Lu, Hanqing.(2016).Multimedia News Summarization in Search.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,7(3).
MLA	Li, Zechao,et al."Multimedia News Summarization in Search".ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 7.3(2016).