Abstract
This paper proposes the use of wavelet image transformation and polyphase downsampling in scalable video coding. A wavelet-based inter-frame coding solution using the syntax and framework of both MPEG-4 H.264/AVC and it is scalable extension, SVC. In the former codec, redundant slices are employed for coding the high frequency subbands of wavelet transformed imaged. While in the latter codec, the wavelet subbands are arranged into separate Coarse Grain Scalability (CGS) layers. Additionally, the paper proposes the use of a modified polyphase downsampling in applications of scalability and error resiliency. It is shown that the coding efficiency of the proposed solutions is comparable to single layer coding.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Hsiang, S.-T.: Intra-frame spatial scalability coding based on a subband/wavelet framework for MPEG-4 AVC/H.264 scalable video coding. In: ICIP 2007, San Antonio, Texas (September 2007)
Schwarz, H., Marpe, D., Wiegand, T.: Overview of the Scalable Video Coding Extension of the H.264/AVC Standard. IEEE Transactions on Circuits and Systems for Video Technology 17(9), 1103–1120 (2007)
Wiegand, T., Sullivan, G., Bjontegaard, G., Luthra, A.: Overview of the H.264/AVC video coding standard. IEEE Transactions on Circuits and Systems for Video Technology 13(7), 560–576 (2003)
Ohm, J.-R., Schaarb, M., Woods, J.: Interframe wavelet coding—motion picture representation for universal scalability. Signal Processing: Image Communication 19(9), 877–908 (2004)
Andreopoulos, Y., Schaar, M., Munteanu, A., Barbarien, J., Schelkens, P., Cornelis, J.: Fully scalable wavelet video coding using in-band motion-compensated temporal filtering. In: Proc. ICASSP 2003, Hong kong (April 2003)
Park, H.-W., Kim, H.-S.: Motion Estimation Using Low-Band-Shift Method for Wavelet-Based Moving Picture Coding. IEEE Trans. Image Processing 9(4), 577–587 (2000)
Andreopoulos, Y., Munteanu, A., Auwera, G., Schelkens, P., Cornelis, J.: A new method for complete-to-overcomplete discrete wavelet transforms. In: Proc. of 14th International Conference on Digital Signal Processing, vol. 2, pp. 501–504 (2002)
Li, X.: New results of phase shifting in the wavelet space. IEEE Signal Processing Letters 10(7), 193–195 (2003)
Caramma, M., Fumagalli, M., Lancini, R.: Polyphase down sampling Multiple Description Coding for IP Transmission. In: Proc. SPIE, vol. 4310, pp. 545–552 (December 2000)
Franchi, N., Fumagalli, M., Lancini, R., Tubaro, S.: A space domain approach for multiple description video coding. In: Proc. ICIP 2003, Barcelona, Spain (September 2003)
Gallant, M., Shiranit, S., Kossentiniq, F.: Standard-compliant multiple description video coding. In: ICIP 2001, Thessaloniki, Greece, vol. 1, pp. 946–949 (2001)
Bernardini, R., Durigon, M., Rinaldo, R., Celetto, L., Vitali, A.: Polyphase spatial sub-sampling multiple description coding of video streams with H264. In: Proc. ICIP 2004, Singapore, October, vol. 2, pp. 3213–3216 (2004)
JM reference software for H.264/MPEG-4 AVC is a video coding standard, HHI institute, http://iphome.hhi.de/suehring/tml/
JSVM reference software for the Scalable Video Coding (SVC), HHI institute, http://www.hhi.fraunhofer.de/fields-of-competence/image-processing/research-groups/image-video-coding/svc-extension-of-h264avc/jsvm-reference-software.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Shanableh, T. (2014). Scalable Video Coding Using Hybrid DCT/Wavelets Architectures. In: Loo, C.K., Yap, K.S., Wong, K.W., Beng Jin, A.T., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8836. Springer, Cham. https://doi.org/10.1007/978-3-319-12643-2_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-12643-2_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12642-5
Online ISBN: 978-3-319-12643-2
eBook Packages: Computer ScienceComputer Science (R0)