ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2017, Vol. 54 ›› Issue (6): 1267-1280.doi: 10.7544/issn1000-1239.2017.20170004

Special Issue: 2017优青专题

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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

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

CLC Number: