JPEG2000-Compatible Scalable Scheme for Wavelet-Based Video Coding
EURASIP Journal on Image and Video Processing volume 2007, Article number: 030852 (2007)
We present a simple yet efficient scalable scheme for wavelet-based video coders, able to provide on-demand spatial, temporal, and SNR scalability, and fully compatible with the still-image coding standard JPEG2000. Whereas hybrid video coders must undergo significant changes in order to support scalability, our coder only requires a specific wavelet filter for temporal analysis, as well as an adapted bit allocation procedure based on models of rate-distortion curves. Our study shows that scalably encoded sequences have the same or almost the same quality than nonscalably encoded ones, without a significant increase in complexity. A full compatibility with Motion JPEG2000, which tends to be a serious candidate for the compression of high-definition video sequences, is ensured.
Sullivan GJ, Wiegand T: Video compression-from concepts to the H.264/AVC standard. Proceedings of the IEEE 2005,93(1):18-31.
Marpe D, Wiegand T, Sullivan GJ: The H.264/MPEG4 advanced video coding standard and its applications. IEEE Communications Magazine 2006,44(8):134-143.
Joint Committee Draft, JVT-C167, Joint Video Team of ISO/IEC MPEG and ITU-T VCEG, May 2002
Marpe D, George V, Cycon HL, Barthel KU: Performance evaluation of motion-JPEG2000 in comparison with H.264/AVC operated in pure intra coding mode. Wavelet Applications in Industrial Processing, October 2004, Providence, RI, USA, Proceedings of SPIE 5266: 129-137.
Information Technology—Coding of Audio Visual Objects—Part 2: Visual AMENDMENT 4: Streaming Video Profile, MPEG 2000/N3518, July 2000
Li W: Overview of fine granularity scalability in MPEG-4 video standard. IEEE Transactions on Circuits and Systems for Video Technology 2001,11(3):301-317. 10.1109/76.911157
Shapiro JM: Embedded image coding using zerotrees of wavelet coefficients. IEEE Transactions on Signal Processing 1993,41(12):3445-3462. 10.1109/78.258085
Said A, Pearlman WA: A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology 1996,6(3):243-250. 10.1109/76.499834
Taubman D: High performance scalable image compression with EBCOT. IEEE Transactions on Image Processing 2000,9(7):1158-1170. 10.1109/83.847830
André T, Cagnazzo M, Antonini M, Barlaud M, Božinović N, Konrad J: (N,0) motion-compensated lifting-based wavelet transform. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '04), May 2004, Montreal, Quebec, Canada 3: 121-124.
Cagnazzo M, André T, Antonini M, Barlaud M: A smoothly scalable and fully JPEG2000-compatible video coder. Proceedings of the 6th IEEE Workshop on Multimedia Signal Processing (MMSP '04), September 2004, Siena, Italy 91-94.
Cagnazzo M, André T, Antonini M, Barlaud M: A model-based motion compensated video coder with JPEG2000 compatibility. Proceedings of IEEE International Conference on Image Processing (ICIP '04), October 2004, Singapore 4: 2255-2258.
Sweldens W: The lifting scheme: a custom-design construction of biorthogonal wavelets. Applied and Computational Harmonic Analysis 1996,3(2):186-200. 10.1006/acha.1996.0015
Pesquet-Popescu B, Bottreau V: Three-dimensional lifting schemes for motion compensated video compression. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '01), May 2001, Salt Lake, Utah, USA 3: 1793-1796.
Secker A, Taubman D: Motion-compensated highly scalable video compression using an adaptive 3D wavelet transform based on lifting. Proceedings of IEEE International Conference on Image Processing (ICIP '01), October 2001, Thessaloniki, Greece 2: 1029-1032.
Secker A, Taubman D: Lifting-based invertible motion adaptive transform (LIMAT) framework for highly scalable video compression. IEEE Transactions on Image Processing 2003,12(12):1530-1542. 10.1109/TIP.2003.819433
Luo L, Li J, Li S, Zhuang Z, Zhang Y-Q: Motion compensated lifting wavelet and its application in video coding. Proceedings of IEEE International Conference on Multimedia and Expo (ICME '01), August 2001, Tokyo, Japan 365-368.
Reichel J, Schwarz H, Wien M: Scalable Video Coding—Working Draft 2. Joint Video Team (JVT), Busan (KR), April 2005, Doc. JVT-O201
Tabatabai A, Visharam Z, Suzuki T: Study of effect of update step in MCTF. Proceedings of the 17th Meeting of Joint Video Team (JVT '05), October 2005, Nice, France Doc. JVT-Q026
Turaga DS, van der Schaar M: Content-adaptive filtering in the UMCTF framework. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '03), April 2003, Hong Kong 3: 621-624.
Antonini M, Barlaud M, Mathieu P, Daubechies I: Image coding using wavelet transform. IEEE Transactions of Image Processing 1992,1(2):205-220. 10.1109/83.136597
Shoham Y, Gersho A: Efficient bit allocation for an arbitrary set of quantizers. IEEE Transactions on Acoustics, Speech, and Signal Processing 1988,36(9):1445-1453. 10.1109/29.90373
Ramchandran K, Vetterli M: Best wavelet packet bases in a rate-distortion sense. IEEE Transactions on Image Processing 1993,2(2):160-175. 10.1109/83.217221
Gersho A, Gray RM: Vector Quantization and Signal Compression. Kluwer Academic, Norwell, Mass, USA; 1988.
Usevitch B: Optimal bit allocation for biorthogonal wavelet coding. Proceedings of the Data Compression Conference (DCC '96), March-April 1996, Snowbird, Utah, USA 387-395.
Huang JY, Schultheiss PM: Block quantization of correlated Gaussian random variables. IEEE Transactions on Communications 1963,11(3):289-296. 10.1109/TCOM.1963.1088759
Parisot C, Antonini M, Barlaud M: 3D scan-based wavelet transform and quality control for video coding. EURASIP Journal on Applied Signal Processing 2003,2003(1):56-65. 10.1155/S1110865703210064
Schoenberg IJ: Contributions to the problem of approximation of equidistant data by analytic functions—part A: on the problem of smoothing or graduation. A first class of analytic approximation formulae. Quarterly of Applied Mathematics 1946,4(1):45-99.
Schoenberg IJ: Contributions to the problem of approximation of equidistant data by analytic functions—part B: on the problem of osculatory interpolation. A second class of analytic approximation formulae. Quarterly of Applied Mathematics 1946,4(2):112-141.
Unser M: Splines: a perfect fit for signal and image processing. IEEE Signal Processing Magazine 1999,16(6):22-38. 10.1109/79.799930
Reinsh CH: Smoothing by spline functions. Numerische Mathematik 1967,10(3):177-183. 10.1007/BF02162161
Unser M, Aldroubi A, Eden M: B-spline signal processing—part II: efficient design and applications. IEEE Transactions on Signal Processing 1993,41(2):834-848. 10.1109/78.193221
JM 11.0 H.264/AVC reference software, Joint Video Team (JVT). http://iphome.hhi.de/suehring/tml/
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André, T., Cagnazzo, M., Antonini, M. et al. JPEG2000-Compatible Scalable Scheme for Wavelet-Based Video Coding. J Image Video Proc 2007, 030852 (2007). https://doi.org/10.1155/2007/30852