Skip to main content

Attention Information Based Spatial Adaptation Framework for Browsing Videos Via Mobile Devices

  • Conference paper
Advances in Multimedia Information Processing - PCM 2006 (PCM 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4261))

Included in the following conference series:

Abstract

The limited display size of the mobile devices has been imposing significant barriers for mobile device users to enjoy browsing high-resolution videos. In this paper, we present a novel video adaptation scheme based on attention area detection for users to enrich browsing experience on mobile devices. During video compression, the attention information which refers to as attention objects in frames will be detected and embedded into bitstreams using the supplement enhanced information (SEI) tool. In this research, we design a special SEI structure for embedding the attention information. Furthermore, we also develop a scheme to adjust adaptive quantization parameters in order to improve the quality on encoding the attention areas. When the high-resolution bitstream is transmitted to mobile users, a fast transcoding algorithm we developed earlier will be applied to generate a new bitstream for attention areas in frames. The new low-resolution bitstream containing mostly attention information, instead of the high-resolution one, will be sent to users for display on the mobile devices. Experimental results show that the proposed spatial adaptation scheme is able to improve both subjective and objective video qualities.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chang, S.-F., Vetro, A.: Video adaptation: Concepts, technologies, and open issues. Proc. IEEE 93(1), 148–158 (2005)

    Article  Google Scholar 

  2. Xin, J., Lin, C.–W., Sun, M.–T.: Digital Video Transcoding. Proceedings of the IEEE 93(1) (January 2005)

    Google Scholar 

  3. Vetro, A., Christopoulos, C., Sun, H.: An overview of video transcoding architectures and techniques. IEEE Signal Processing Magazine 20(2), 18–29 (2003)

    Article  Google Scholar 

  4. Wang, Y., Li, H.Q., Fan, X., Chen, C.W.: An attention based spatial adaptation scheme for H.264 videos over mobiles. IJPRAI special issue on Intelligent Mobile and Embedded Systems 20(4), 565–584 (2006)

    Google Scholar 

  5. Draft ITU-T recommendation and final draft international standard of joint video specification (ITU-T Rec. H.264/ISO/IEC 14496-10 AVC. In: Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG, JVT-GO50 (2003)

    Google Scholar 

  6. Chen, L.Q., Xie, X., Fan, X., Ma, W.Y., Zhang, H.J., Zhou, H.Q.: A visual attention model for adapting images on small displays. ACM Multimedia Systems Journal 9(4), 353–364 (2003)

    Article  Google Scholar 

  7. Fan, X., Xie, X., Zhou, H.-Q., Ma, W.-Y.: Looking into Video Frames on Small Displays. In: Proceedings of the eleventh ACM international conference on Multimedia, Berkeley, CA, USA, November 2003, pp. 247–250 (2003)

    Google Scholar 

  8. Ma, Y.-F., Zhang, H.-J.: Contrast-Based Image Attention Analysis by Using Fuzzy Growing. In: Proceedings of the eleventh ACM international conference on Multimedia, Berkeley, CA, USA, November 2003, pp. 374–381 (2003)

    Google Scholar 

  9. JVT reference software official version. Image Processing Homepage, http://bs.hhi.de/~suehring/tml/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, Y., Li, H., Liu, Z., Chen, C.W. (2006). Attention Information Based Spatial Adaptation Framework for Browsing Videos Via Mobile Devices. In: Zhuang, Y., Yang, SQ., Rui, Y., He, Q. (eds) Advances in Multimedia Information Processing - PCM 2006. PCM 2006. Lecture Notes in Computer Science, vol 4261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11922162_90

Download citation

  • DOI: https://doi.org/10.1007/11922162_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48766-1

  • Online ISBN: 978-3-540-48769-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics