Skip to main content

Reflectance Reference for Intra-Frame Coding of Surveillance Video

  • Conference paper
  • First Online:
Advances in Multimedia Information Processing – PCM 2018 (PCM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11164))

Included in the following conference series:

Abstract

Surveillance videos have the feature of static background, which has been exploited in surveillance video coding by the background reference techniques. However, in long surveillance videos that last for several hours to several days, the appearance of background is varying due to the change of illumination, which incurs inefficiency of the background reference techniques. Moreover, intra frames in video coding cannot make use of the background reference and thus incur bit-rate burst. To solve this problem, we propose to separate illuminance out of appearance, and introduce a new kind of references known as reflectance reference (RefRef). RefRef consists of the reflectance component of the background in surveillance videos. The RefRef is invariant to illumination change, and thus can be put always in memory when encoding/decoding the surveillance videos of a specific camera. Especially, RefRef can be used for intra frames, together with the encoding/decoding of the illuminance component. Since the illuminance is usually more smooth than the appearance, RefRef provides higher compression efficiency for intra frames. Experimental results show that the RefRef method leads to more than 50% BD-rate reduction, compared to the High Efficiency Video Coding (HEVC) anchor, on typical surveillance videos under all-intra configuration.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bossen, F.: Common test conditions and software reference configurations. JCTVC-H1100, presented at the 8th meeting of Joint Collaborative Team on Video Coding (JCT-VC), San Jose, CA, USA, February 2012

    Google Scholar 

  2. Chen, F., Li, H., Li, L., Liu, D., Wu, F.: Block-composed background reference for high efficiency video coding. IEEE Trans. Circuits Syst. Video Technol. 27(12), 2639–2651 (2017)

    Article  Google Scholar 

  3. Gorur, P., Amrutur, B.: Skip decision and reference frame selection for low-complexity H.264/AVC surveillance video coding. IEEE Trans. Circuits Syst. Video Technol. 24(7), 1156–1169 (2014)

    Article  Google Scholar 

  4. Hauagge, D., Wehrwein, S., Bala, K., Snavely, N.: Photometric ambient occlusion for intrinsic image decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 38(4), 639–651 (2016)

    Article  Google Scholar 

  5. Hong, R., Hu, Z., Wang, R., Wang, M., Tao, D.: Multi-view object retrieval via multi-scale topic models. IEEE Trans. Image Process. 25(12), 5814–5827 (2016)

    Article  MathSciNet  Google Scholar 

  6. Hong, R., Zhang, L., Tao, D.: Unified photo enhancement by discovering aesthetic communities from Flickr. IEEE Trans. Image Process. 25(3), 1124–1135 (2016)

    Article  MathSciNet  Google Scholar 

  7. Hong, R., Zhang, L., Zhang, C., Zimmermann, R.: Flickr circles: aesthetic tendency discovery by multi-view regularized topic modeling. IEEE Trans. Multimed. 18(8), 1555–1567 (2016)

    Article  Google Scholar 

  8. Li, B., Xu, J., Zhang, D., Li, H.: QP refinement according to Lagrange multiplier for high efficiency video coding. In: IEEE International Symposium on Circuits and Systems (ISCAS), pp. 477–480. IEEE (2013)

    Google Scholar 

  9. Paul, M., Lin, W., Lau, C.T., Lee, B.S.: A long-term reference frame for hierarchical B-picture-based video coding. IEEE Trans. Circuits Syst. Video Technol. 24(10), 1729–1742 (2014)

    Article  Google Scholar 

  10. Richardson, I.E.: H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia. Wiley, New York (2004)

    Google Scholar 

  11. Sullivan, G.J., Ohm, J., Han, W.J., Wiegand, T.: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649–1668 (2012)

    Article  Google Scholar 

  12. Zhang, X., Tian, Y., Huang, T., Dong, S., Gao, W.: Optimizing the hierarchical prediction and coding in HEVC for surveillance and conference videos with background modeling. IEEE Trans. Image Process. 23(10), 4511–4526 (2014)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgment

This work was supported by the National Key Research and Development Plan under Grant 2016YFC0801001, the Natural Science Foundation of China under Grants 61772483, 61390512, and 61331017.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dong Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, D., Zhang, Z., Chen, F., Li, H., Wu, F. (2018). Reflectance Reference for Intra-Frame Coding of Surveillance Video. In: Hong, R., Cheng, WH., Yamasaki, T., Wang, M., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2018. PCM 2018. Lecture Notes in Computer Science(), vol 11164. Springer, Cham. https://doi.org/10.1007/978-3-030-00776-8_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00776-8_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00775-1

  • Online ISBN: 978-3-030-00776-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics