ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2017, Vol. 54 ›› Issue (6): 1267-1280.doi: 10.7544/issn1000-1239.2017.20170004

所属专题: 2017优青专题

• 综述 • 上一篇    下一篇

多媒体信息检索中的查询与反馈技术

查正军1,郑晓菊1,2   

  1. 1(中国科学技术大学信息科学技术学院 合肥 230027); 2(中国科学院合肥物质科学研究院 合肥 230031) (zhazj@ustc.edu.cn)
  • 出版日期: 2017-06-01
  • 基金资助: 
    国家自然科学基金面上项目(61472392);国家自然科学基金优秀青年科学基金项目(61622211);国家自然科学基金重点国际合作项目(61620106009)

Query and Feedback Technologies in Multimedia Information Retrieval

Zha Zhengjun1, Zheng Xiaoju1,2   

  1. 1(School of Information Science and Technology, University of Science and Technology of China, Hefei 230027); 2(Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031)
  • Online: 2017-06-01

摘要: 历经几十年的发展,多媒体检索取得了长足的进步,然而检索性能的提升依然受到“意图鸿沟”与“语义鸿沟”的制约.针对此问题,学术界提出了一系列查询技术帮助用户清楚地表达检索意图以及反馈技术帮助系统准确地理解用户意图与媒体数据,有效提升了检索性能.对多媒体检索中的查询与反馈技术进行了分析与讨论.分析了查询方式的演变与反馈技术的发展,综述了面向PC机、移动智能终端、触屏设备的查询技术,介绍了不同时期的反馈技术,探讨了探索式搜索中的交互问题,最后分析了该领域的未来研究趋势.

关键词: 多媒体信息检索, 检索意图, 内容理解, 查询, 反馈

Abstract: In spite of the remarkable progress made in the past decades, multimedia information retrieval still suffers from the “intention gap” and “semantic gap”. To address this issue, researchers have proposed a wealth of query technologies to help user express search intent clearly as well as feedback technologies to help retrieval system understand user intent and multimedia data accurately, leading to significant improvements of retrieval performance. This paper presents a survey of the query and feedback technologies in multimedia information retrieval. We summarize the evolution of query styles and the development of feedback approaches. We elaborate the query approaches for retrieval on PC, mobile intelligent devices and touch-screen devices etc. We introduce the feedback approaches proposed in different periods and discuss the interaction issue in exploratory multimedia retrieval. Finally, we discuss future research directions in this field.

Key words: multimedia information retrieval, retrieval intent, content understanding, query, feedback

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