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Link to original content: https://doi.org/10.1007/978-3-319-13563-2_65
An Approach for Real-Time Frame Size Adaptation in M-JPEG Streams | SpringerLink
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An Approach for Real-Time Frame Size Adaptation in M-JPEG Streams

  • Conference paper
Simulated Evolution and Learning (SEAL 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8886))

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Abstract

The growth of the video traffic proliferates quickly over the internet as well as wireless networks. With that growth, different video compression standards have been introduced over the years. Among them, Motion Joint Photographic Expects Group (M-JPEG) has advantages of avoiding frame-to-frame error propagation and achieving low coding/decoding latency. Due to these advantages, M-JPEG is widely adopted in video-capture devices, wireless IP cameras and industrial real-time applications. On the other hand, due to its nature of dynamic frame sizes, its stream’s bit-rate is generally varying and different solutions have been proposed to regulate the bit-rate. As these solutions still persist drawbacks such as having high regulating error, this paper aims to propose an improved approach which can regulate individual frame size of M-JPEG stream in real-time. Experiments indicate that the proposed approach has a straight forward implementation and yet, outperforming in regulating frame size of M-JPEG compared to existing solutions.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Faulty of Engineering, National University of Singapore, 21 Lower Kent Ridge Road, 119077, Singapore

    Kyaw Ko-Ko-Htet & Tan Kok-Kiong

Authors
  1. Kyaw Ko-Ko-Htet
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  2. Tan Kok-Kiong
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Editor information

Editors and Affiliations

  1. Otago University, Dunedin, New Zealand

    Grant Dick

  2. Victoria University of Welling, New Zealand

    Will N. Browne

  3. University of Otago, Dunedin, New Zealand

    Peter Whigham

  4. Unitec Institute of Technology, Victoria University of Wellington, New Zealand

    Mengjie Zhang

  5. Le Quy Don Technical University, Hanoi, Vietnam

    Lam Thu Bui

  6. Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Naka-ku, 599-8531, Sakai, Osaka, Japan

    Hisao Ishibuchi

  7. Department of Computing, University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Yaochu Jin

  8. RMIT University, Melbourne, Australia

    Xiaodong Li

  9. Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  10. Indian Institute of Information Technology and Management, Gwalior, India

    Pramod Singh

  11. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117576, Singapore, Singapore

    Kay Chen Tan

  12. USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, 230027, Hefei, China

    Ke Tang

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© 2014 Springer International Publishing Switzerland

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Ko-Ko-Htet, K., Kok-Kiong, T. (2014). An Approach for Real-Time Frame Size Adaptation in M-JPEG Streams. In: Dick, G., et al. Simulated Evolution and Learning. SEAL 2014. Lecture Notes in Computer Science, vol 8886. Springer, Cham. https://doi.org/10.1007/978-3-319-13563-2_65

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  • DOI: https://doi.org/10.1007/978-3-319-13563-2_65

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13562-5

  • Online ISBN: 978-3-319-13563-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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