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Advanced Image Retrieval Technology in Future Mobile Teaching and Learning

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Handbook of Mobile Teaching and Learning

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Abstract

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.

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Computer Science, University of Wollongong, Wollongong, NSW, Australia

    Lei Wang

  2. WEMOSOFT, Wollongong, NSW, Australia

    Yu (Aimee) Zhang

Authors
  1. Lei Wang
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  2. Yu (Aimee) Zhang
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Corresponding author

Correspondence to Lei Wang .

Editor information

Editors and Affiliations

  1. CEO, WEMOSOFT, Wollongong, NSW, Australia

    Yu (Aimee) Zhang

  2. Teaching and Learning, The Ohio State University, Upper Arlington, OH, USA

    Dean Cristol

Section Editor information

  1. Faculty of Education, Mahatma Jyotiba Phule Rohilkhand University, Bareilly, Uttar Pradesh, India

    Kshama Pandey

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Wang, L., Zhang, Y.(. (2019). Advanced Image Retrieval Technology in Future Mobile Teaching and Learning. In: Zhang, Y., Cristol, D. (eds) Handbook of Mobile Teaching and Learning. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41981-2_53-2

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  • DOI: https://doi.org/10.1007/978-3-642-41981-2_53-2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41981-2

  • Online ISBN: 978-3-642-41981-2

  • eBook Packages: Springer Reference Social SciencesReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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Chapter history

  1. Latest

    Advanced Image Retrieval Technology in Future Mobile Teaching and Learning
    Published:
    13 October 2018

    DOI: https://doi.org/10.1007/978-3-642-41981-2_53-2

  2. Original

    Advanced Image Retrieval Technology in Future Mobile Teaching and Learning
    Published:
    18 April 2015

    DOI: https://doi.org/10.1007/978-3-642-41981-2_53-1

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