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Interactive transmission processing for large images in a resource-constraint mobile wireless network

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Abstract

In the state-of-the-art methods for (large) image transmission, no user interaction behaviors (e.g., user tapping) can be actively involved to affect the transmission performance (e.g., higher image transmission efficiency with relatively poor image quality). So, to effectively and efficiently reduce the large image transmission costs in resource-constraint mobile wireless networks (MWN), we design a content-based and bandwidth-aware Interactive large Image Transmission method in MWN, called the I it. To the best of our knowledge, this is the first study on the interactive image transmission. The whole transmission processing of the I it works as follows: before transmission, a preprocessing step computes the optimal and initial image block (IB) replicas based on the image content and the current network bandwidth at the sender node. During transmission, in case of unsatisfied transmission efficiency, the user’s anxiety to preview the image can be implicitly indicated by the frequency of tapping the screen. In response, the transmission resolutions of the candidate IB replicas can be dynamically adjusted based on the user anxiety degree (UAD). Finally, the candidate IB replicas are transmitted with different priorities to the receiver for reconstruction and display. The experimental results show that the performance of our approach is both efficient and effective, minimizing the response time by decreasing the network transmission cost while improving user experiences.

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Notes

  1. \( {T}_{\theta}^{Max} \) is a maximal transmission time which is defined in Eq.(10).

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Acknowledgments

The authors would like to thank the editors and anonymous reviewers for their helpful comments. This work is partially supported by the Program of National Natural Science Foundation of China under grant No. 61272188, 61379075, 61540064, 71571162; the project in National Science & Technology Pillar Program of the Ministry of Science and Technology under grant No. 2014BAK14B01; the Program of Natural Science Foundation of Zhejiang Province under grant No. LY13F020008; the Ministry of Education of Humanities and Social Sciences Project under grant No. 14YJCZH235; the “Qianjiang Talent” Project of Zhejiang Province under grant No. QJD1402017.

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Authors and Affiliations

  1. College of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou, People’s Republic of China

    Yi Zhuang

  2. Hangzhou First People’s Hospital, Hangzhou, People’s Republic of China

    Nan Jiang

  3. School of Computer, Hangzhou Dianzi University, Hangzhou, People’s Republic of China

    Hua Hu

  4. Faculty of Education, The University of Hong Kong, HKSAR, Hong Kong, People’s Republic of China

    Dickson K. W. Chiu

  5. Department of Computer Science, City University of Hong Kong, HKSAR, Hong Kong, People’s Republic of China

    Qing Li

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  1. Yi Zhuang
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  2. Nan Jiang
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  4. Dickson K. W. Chiu
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  5. Qing Li
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Correspondence to Yi Zhuang.

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Zhuang, Y., Jiang, N., Hu, H. et al. Interactive transmission processing for large images in a resource-constraint mobile wireless network. Multimed Tools Appl 76, 23539–23565 (2017). https://doi.org/10.1007/s11042-016-3965-2

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  • DOI: https://doi.org/10.1007/s11042-016-3965-2

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