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Broadcast News Story Segmentation Using Conditional Random Fields and Multimodal Features
文献类型:期刊
作者:Wang, Xiaoxuan[1]  Xie, Lei[2]  Lu, Mimi[3]  Ma, Bin[4]  Chng, Eng Siong[5]  Li, Haizhou[6]  
机构:[1]Northwestern Polytech Univ, Sch Comp Sci, Xian, Peoples R China.;
[2]Northwestern Polytech Univ, Sch Comp Sci, Xian, Peoples R China.;
[3]Northwestern Polytech Univ, Sch Comp Sci, Xian, Peoples R China.;
[4]Inst Infocomm Res, Singapore, Singapore.;
[5]Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore.;
[6]Inst Infocomm Res, Singapore, Singapore.;
通讯作者:Wang, XX (reprint author), Northwestern Polytech Univ, Sch Comp Sci, Xian, Peoples R China.
年:2012
期刊名称:IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS影响因子和分区
卷:E95D
期:5
页码范围:1206-1215
增刊:正刊
学科:计算机科学
收录情况:SCI(E)(WOS:000304573100004)  EI(20121915006535)  SSCI(WOS:000304573100004)  
所属部门:计算机学院
被引频次:4
人气指数:1743
浏览次数:1719
关键词:story segmentation; conditional random fields
摘要:
In this paper, we propose integration of multimodal features using conditional random fields (CRFs) for the segmentation of broadcast news stories. We study story boundary cues from lexical, audio and video modalities, where lexical features consist of lexical similarity, chain strength and overall cohesiveness; acoustic features involve pause duration, pitch, speaker change and audio event type; and visual features contain shot boundaries, anchor faces and news title captions. These features ar ...More
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