Multimedia News Summarization in Search
Li, Zechao1; Tang, Jinhui1; Wang, Xueming1; Liu, Jing2; Lu, Hanqing2
2016-04-01
发表期刊ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
卷号7期号:3
文章类型Article
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.
关键词Design Algorithms Performance Human Factors News Summarization Topic Structure Multimodal Hierarchical Latent Dirichlet Allocation Maximum Spanning Tree
WOS标题词Science & Technology ; Technology
DOI10.1145/2822907
关键词[WOS]ENTROPY
收录类别SCI ; SSCI
语种英语
项目资助者973 Program(2014CB347600) ; National Natural Science Foundation of China(61522203 ; 61402228)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号WOS:000373911200008
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12202
专题模式识别国家重点实验室_图像与视频分析
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).
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Li Zechao_Multimedia(1304KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Zechao]的文章
[Tang, Jinhui]的文章
[Wang, Xueming]的文章
百度学术
百度学术中相似的文章
[Li, Zechao]的文章
[Tang, Jinhui]的文章
[Wang, Xueming]的文章
必应学术
必应学术中相似的文章
[Li, Zechao]的文章
[Tang, Jinhui]的文章
[Wang, Xueming]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Li Zechao_Multimedia News Summarization in Search.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。