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An Analysis-Oriented ROI Based Coding Approach on Surveillance Video Data

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Advances in Multimedia Information Processing - PCM 2016 (PCM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9917))

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Abstract

Driven by the growing amount of surveillance video data, intelligent video analysis has been applied to manipulate the stored videos automatically. As the most important method of video storage, the conventional coding method with high compression ratio severely degrades the video quality, which restrict the performance of intelligent analysis. In this paper, we propose an analysis-oriented region of interest (ROI) based coding approach to relieve this problem. We qualitatively analyze the effect of video compression on the performance of video analysis, such as feature similarity and object detection. Based on the analysis, we generate the ROI by the prior knowledge of interest objects rather than considering the characteristics of Human Visual System (HVS). Then, a weight-based rate control scheme is proposed to protect the quality of ROI by assigning more bits to encode it. Experimental results show that the proposed approach can reach 5.52% and 4.39% gains average over HEVC on the performance of feature similarity and object detection respectively under the same bitrate.

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Acknowledgements

This work was partly supported by the National Natural Science Foundation of China (61231015, 61502348), the National High Technology Research and Development Program of China (2015AA016306), the EU FP7 QUICK project under Grant Agreement (PIRSES-GA-2013-612652).

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Authors and Affiliations

  1. State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China

    Liang Liao & Ruimin Hu

  2. Computer School, National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China

    Liang Liao, Ruimin Hu, Jing Xiao, Gen Zhan, Yu Chen & Jun Xiao

  3. Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China

    Ruimin Hu & Jing Xiao

  4. Research Institute of Wuhan University in Shenzhen, Shenzhen, China

    Jing Xiao

Authors
  1. Liang Liao
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  2. Ruimin Hu
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  3. Jing Xiao
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  4. Gen Zhan
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  5. Yu Chen
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  6. Jun Xiao
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Corresponding author

Correspondence to Ruimin Hu .

Editor information

Editors and Affiliations

  1. Zhengzhou University, Zhengzhou, China

    Enqing Chen

  2. Jiaotong University, Xi’an, China

    Yihong Gong

  3. Zhengzhou University, Zhengzhou, China

    Yun Tie

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Liao, L., Hu, R., Xiao, J., Zhan, G., Chen, Y., Xiao, J. (2016). An Analysis-Oriented ROI Based Coding Approach on Surveillance Video Data. In: Chen, E., Gong, Y., Tie, Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science(), vol 9917. Springer, Cham. https://doi.org/10.1007/978-3-319-48896-7_42

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  • DOI: https://doi.org/10.1007/978-3-319-48896-7_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48895-0

  • Online ISBN: 978-3-319-48896-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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