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ROI and FOI Algorithms for Wavelet-Based Video Compression

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Advances in Multimedia Information Processing - PCM 2004 (PCM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3333))

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Abstract

Many techniques make great contributions to video compression with removal of spatial and temporal redundancy in and between frames. However, compressed video is still rather large for applications such as surveillance system. In order to compress more, in video compression techniques, region-of-interest (ROI) and frames-of-interest (FOI) codings could be addressed to set high priority to ROI or FOI by allocating more bits than others. Normally, locations of related coefficients for the reconstruction of the ROI are calculated according to the filter lenghth. However, it is not efficient. In this paper a novel wavelet-based ROI and FOI scheme is proposed. Simulation results show excellent performance.

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References

  1. Lin, C.W., Chang, Y.J., Chen, Y.C.: Low-Complexity Face-Assisted Video Coding. In: Proc. ICIP 2000, vol. 2, pp. 207–210 (2000)

    Google Scholar 

  2. Morimoto, M., Matsumura, K., Fujii, K.: A hierarchical video compression method using object coding”, World Automation Congress, 2002. In: Proceedings of the 5th Biannual, vol. 13, pp. 345–350 (2002)

    Google Scholar 

  3. Eleftheriadis, A., Jacquin, A.J.: Automatic face location detection and tracking for model-assisted coding of video teleconferencing sequences at low bit-rate. Signal Processing: Image Communication 7(4-6), 231–248 (1995)

    Article  Google Scholar 

  4. Fung, K., Law, N., Siu, W.: Region-based object tracking for multipoint video conferencing using wavelet transform. In: 2001 ICCE International Conference Consumer electronics, June 2001, pp. 268–269 (2001)

    Google Scholar 

  5. Strom, J., Cosman, P.C.: Medical image compression with lossless regions of interest. Signal Processing 59(2), 155–171 (1997)

    Article  Google Scholar 

  6. Askelof, J., Christopoulos, C., Larsson Carlander, M., Oijer, F.: Wireless image application and next-generation imaging. Ericsson Review 2, 54–61 (2001), Available http://www.ericsson.com/review/2001_02/

  7. Santa-Cruz, D., Ebrahimi, T., Larsson, M., Askelof, J., Christopoulos, C.: Region of interest coding in JPEG2000 for interactive client/server applications. In: Proc. IEEE 3rd Workshop on Multimedia Signal Processing, September 1999, pp. 389–394 (1999)

    Google Scholar 

  8. Nister, D., Christopoulos, C.: Lossless Region of Interest with Embedded Wavelet Image Coding. Signal Processing 78(1), 1–17 (1999)

    Article  MATH  Google Scholar 

  9. Wang, Z., Bovik, A.C.: Bitplane-by-Bitplane Shift (BbBShift)—A Suggestion for JPEG2000 Region of Interest Image Coding. IEEE Signal Processing Letters 9(5) (May 2002)

    Google Scholar 

  10. Christopouls, C., Skodras, A.N., Ebrahimi, T.: JPEG 2000 still image coding system: An overview. IEEE Trans. Consumer Electronics 46, 1103–1127 (2000)

    Article  Google Scholar 

  11. Xia, T., Jiang, Q.: Optimal multifilter banks: design, related symmetricextension and application to image compression. IEEE Transactions on Signal Processing 47(7), 1878–1889 (1999)

    Article  MATH  Google Scholar 

  12. Shapiro, J.M.: Embedded image coding using zerotree of wavelet coefficients. IEEE Trans. Signal Processing 41, 3445–3462 (1993)

    Article  MATH  Google Scholar 

  13. Atsumi, E., Farvardin, N.: Lossy/lossless region-of-interest image coding based on set partitioning in hierarchical trees. In: Proc. IEEE Int. Conf. Image Processing, Chicago, IL, October 1998, pp. 87–91 (1998)

    Google Scholar 

  14. Christopoulos, C.A., Askelof, J., Larsson, M.: Efficient methods for encoding regions of interest in the upcoming JPEG2000 still image coding standard. IEEE Signal Processing Lett. 7, 247–249 (2000)

    Article  Google Scholar 

  15. Christopoulos, C.A., Askelof, J., Larsson, M.: Efficient encoding and reconstruction of regions of interest in JPEG 2000. In: Proc. X European Signal Processing Conf., Tampere, Finland, September 2000, pp. 1133–1136 (2000)

    Google Scholar 

  16. Christopoulos, C.A., Askelof, J., Larsson, M.: Efficient region of interest encoding techniques in the upcoming JPEG 2000 still image coding stadard. In: Proc. IEEE Int. Conf. Image Processing, Vancouver, Canada, September 2000, vol. II, pp. 41–44 (2000)

    Google Scholar 

  17. Li, D.: Moving objects detection by block comparison. In: The 7th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2000), December 2000, vol. 1, pp. 341–344 (2000)

    Google Scholar 

  18. Zaibi, R., Cetin, A.E., Yardimci, Y.: Small moving object detection in video sequences. In: Proceedings of 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), June 2000, vol. 6, pp. 2071–2074 (2000)

    Google Scholar 

  19. Liu, C., Xia, T., Li, H.: Time Oriented Video Summarization. IEEE Trans. On Circuits and Systems for Video Technology, under review

    Google Scholar 

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Author information

Authors and Affiliations

  1. Temasek Laboratories, Approximation and Information Processing, National University of Singapore,  

    Chaoqiang Liu & Hui Li

  2. Centre for Wavelets, Approximation and Information Processing, National University of Singapore,  

    Chaoqiang Liu, Tao Xia & Hui Li

Authors
  1. Chaoqiang Liu
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  2. Tao Xia
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  3. Hui Li
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Tokyo, Japan

    Kiyoharu Aizawa

  2. Tokyo Research Laboratory, IBM Research, 1623-14 Shimo-tsuruma, Yamato, 242-0001, Kanagawa, Japan

    Yuichi Nakamura

  3. National Institute of Informatics, Tokyo, Japan

    Shin’ichi Satoh

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© 2004 Springer-Verlag Berlin Heidelberg

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Liu, C., Xia, T., Li, H. (2004). ROI and FOI Algorithms for Wavelet-Based Video Compression. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30543-9_31

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  • DOI: https://doi.org/10.1007/978-3-540-30543-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23985-7

  • Online ISBN: 978-3-540-30543-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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