[1]张 菁,沈兰荪,David Dagan FENG.图像搜索中人机交互技术的新进展[J].智能系统学报,2007,2(04):14-20.
 ZHANG Jing,SHEN Lan-sun,David Dagan FENG.computer interaction technology in image searches: a survey[J].CAAI Transactions on Intelligent Systems,2007,2(04):14-20.
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图像搜索中人机交互技术的新进展(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第2卷
期数:
2007年04期
页码:
14-20
栏目:
出版日期:
2007-08-25

文章信息/Info

Title:
computer interaction technology  in image searches: a survey
文章编号:
1673-4785(2007)04-0014-07
作者:
张 菁1沈兰荪1David Dagan FENG23
1.北京工业大学信号与信息处理研究室,北京100022;
2.悉尼大学信息学院,悉尼2006;
3.香港理工大学电子与资讯工程学系,香港中国
Author(s):
ZHANG Jing1SHEN Lan-sun1David Dagan FENG23
1. Signal & Information Processing Lab., Beijing University of Technology, Bei jing 100022, China; 2. School of Information Technologies, the University of Syd ney, NSW 2006, Australia; 3. Department of Electronic & Information Engineering, Hong Kong Polytechnic University, Hong Kong, China
关键词:
人机交互图像搜索相关反馈语义鸿沟
Keywords:
humancomputer interaction image search relevance feedback semant ic gap
分类号:
TP391
文献标志码:
A
摘要:
人机交互在图像搜索中起着重要的作用.研究下一代人机交互接口以更好地表达用户搜索意图,具有广大的应用前景.如何充分利用人类的感觉器官,提供拟人化的交互方式已经成为信息科学的一个研究热点.除了提供自然友好的人机交互,还需要研究如何采用相关反馈技术获取用户的真实需求,以弥补图像底层特征和高层语义之间的鸿沟,优化查询结果,实现个性化搜索.首先对图像搜索的发展概况做了简要介绍,在对人机交互、相关反馈和个性化搜索的研究进展进行讨论后,描述了人眼跟踪、语音和触摸导航在图像检索中的应用 .最后指出了图像搜索中人机交互技术进一步的发展前景.
Abstract:
Humancomputer interaction plays an important role in image searches. Next generation humancomputer interactions which can identify users’ search i n tentions are a promising research field. Ways to do this by fully utilizing huma n sense organs and providing humanlike interaction have become a lively topic i n informatics. Based on a natural and friendly humancomputer interaction, rele v ance feedback is used to determine a user’s requirements and narrow the gap bet ween lowlevel image features and highlevel semantic concepts in order to opt im ize query results and perform a personalized search. Developments in the area of image searches are briefly addressed. The current state of humancomputer inte r action, relevance feedback, and personalized search are discussed. Applications for image retrieval using eyetracking, speech, and haptical navigation are als o described. Finally current challenges and future trends are outlined.

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备注/Memo

备注/Memo:
收稿日期:2007-01-12.
基金项目:
国家自然科学基金资助项目(60472036,60431020,60402036);
教育部博士点基金资助项目(2004 0005015);
北京市自然科学基金资助项目(3052005);
the PolyU/UGC grants (B-Q698)
作者简介: 
张  菁,女,1975年生,讲师,博士研究生,主要研究方向为多媒体信息检索,发表学术论文10余篇. E-mail:zhj@biut.edu.cn.
沈兰荪,男,1938年生,教授,博士生导师,主要研究方向为图像/视频信号处理、传输、压缩与应用.发表学术论文300余篇,撰写著作多部.
 David Dagan FENG,男,1950年生,悉尼大学教授、香港理工大学教授,ACS、 ATSE、 H KIE、 IEE和IEEE会员,主要研究方向为生物医学和多媒体信息处理、功能图像、模拟与仿真、快速算法与数据压缩等,发表学术论文300余篇.
更新日期/Last Update: 2009-05-07