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Energy Efficient Content Based Image Retrieval Recommender System in Mobile Cloud

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Data Science and Analytics (REDSET 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1230))

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Abstract

In current scenario, mobile devices is one of the primary sources of capturing images, due to advancement in sensors and ease of availability of digital cameras inbuilt in mobile devices. Due to high demand for content-based image retrieval applications, there is need to develop efficient methods to handle user image query, measure similarity, and response back with relevant images. But, storing large number of images in mobile device has constraints like huge memory consumption, limited computational capability, wastage of energy in storing, accessing and processing these data. In this paper, Mobile Cloud Computing based content image retrieval (MCC-CBIR) system is proposed, where images are offloaded from constrained mobile devices into resource-rich cloud server, using image compression mechanism. Recommender system is used to retrieve images based on intensity, color, and texture metrics from the cloud. The experimental results reveal less computation time, efficient image compression. Also, performance ratios like precision, relevancy, recall of the retrieved relevant images are also found to be excellent.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Jaypee Institute of Information Technology, Noida, 201307, India

    Rajalakshmi Krishnamurthi & Mukta Goyal

Authors
  1. Rajalakshmi Krishnamurthi
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  2. Mukta Goyal
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Corresponding author

Correspondence to Rajalakshmi Krishnamurthi .

Editor information

Editors and Affiliations

  1. GD Goenka University, Gurugram, India

    Usha Batra

  2. GD Goenka University, Sohna, Haryana, India

    Nihar Ranjan Roy

  3. University of Arkansas, Fayetteville, AR, USA

    Brajendra Panda

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Krishnamurthi, R., Goyal, M. (2020). Energy Efficient Content Based Image Retrieval Recommender System in Mobile Cloud. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1230. Springer, Singapore. https://doi.org/10.1007/978-981-15-5830-6_17

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  • DOI: https://doi.org/10.1007/978-981-15-5830-6_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5829-0

  • Online ISBN: 978-981-15-5830-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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