Advanced Image Retrieval Technology in Future Mobile Teaching and Learning

  • Lei WangEmail author
  • Yu (Aimee) Zhang
Living reference work entry

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Advanced image retrieval technology has been widely adopted in many academic and industrial institutions. Mobile technology has been adopted in teaching and learning in various disciplines. Image retrieval technology can improve learning efficiency, enhance memory by providing similar learning content, and engage students in learning. However, mobile technology presents a number of software and hardware barriers, such as computing capability, screen size, and the quality of wireless connections (see “Characteristics of Mobile Teaching and Learning”). It is believed the adoption of the advanced image retrieval technology will enhance the capability of visual content search and the teaching and learning experience of educators and students. The advanced image retrieval technology will play an important role in future mobile teaching and learning and higher education.


Image retrieval technology Mobile teaching Mobile learning Image search Future technology 


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Engineering and Computer ScienceUniversity of WollongongWollongongAustralia
  2. 2.WEMOSOFTWollongongAustralia

Section editors and affiliations

  • Kshama Pandey
    • 1
  1. 1.Faculty of EducationMahatma Jyotiba Phule Rohilkhand UniversityBareillyIndia

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