Abstract
The discrete wavelet transforms (DWTs) applied temporally under motion compensation (i.e. Motion Compensation Temporal Filtering (MCTF)) has recently become a very powerful tool in scalable video compression, especially when implemented through lifting. The major bottleneck for speed of the encoder is the computational complexity of the bidirectional motion estimation in MCTF. This paper proposes a novel predictive technique to reduce the computational complexity of MCTF. In the proposed technique the temporal filtering is done without motion compensation. The resultant high frequency frames are used to predict the blocks under motion. Motion estimation is carried out only for the predicted blocks under motion. This significantly reduces the number of blocks that undergoes motion estimation and hence the computationally complexity of MCTF is reduced by 44% to 92% over variety of standard test sequences without compromising the quality of the decoded video. The proposed algorithm is implemented in MC-EZBC, a 3D-subband scalable video coding system.
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References
Taubman, D., Zakhor, A.: Multirate 3-D subband coding of video. IEEE Trans. Image Process. 3, 572–588 (1994)
Wang, A., Xiong, Z., Chou, P., Mehrotra, S.: Three-dimensional wavelet coding of video with global motion compensation. In: Proc. Data Compression Conference, pp. 404–413 (March 1999)
Ohm, J.: Three-dimensional subband coding with motion compensation. IEEE Trans. Image Process. 3, 559–571 (1994)
Choi, S., Woods, J.: Motion compensated 3d subband coding of video. IEEE Trans. Image Proc. 8, 155–167 (1999)
Pesquet-Popescu, B., Bottreau, V.: Three dimensional lifting schemes for motion compensated video compression. In: IEEE Int. Conf. Accoust. Speech and Signal Proc., pp. 1793–1796 (2001)
Bottreau, V., Benetiere, M., Felts, B., Pesquet-Popescu, B.: A fully SCalable 3d subband video codec. In: IEEE Int. Conf. Image Proc., pp. 1017–1020 (2001)
Luo, L., Li, J., Li, S., Zhuang, Z., Zhang, Y.-Q.: Motion compensated lifting wavelet and its application in video coding. In: IEEE, Int. Conf. on Multimedia and Expo, pp. 481–484 (2001)
Secker, A., Taubman, D.: Motion-compensated highly scalable video compression using an adaptive 3d wavelet transform based on lifting. In: IEEE Int. conf. Image Proc., pp. 1029–1032 (2001)
Secker, A., Taubman, D.: Highly scalable video compression using a lifting-based 3d wavelet transform with deformable mesh motion compensation. In: IEEE Int. conf. Image Proc., pp. 749–752 (2002)
Secker, A., Taubman, D.: Lifting based invertible motion adaptive transform (LIMAT) framework for highly scalable video compression. IEEE Trans. Image Proc. 12, 1530–1542 (2003)
Secker, A., Taubman, D.: Motion-compensated highly scalable video compression using an adaptive 3d wavelet transform based on lifting. In: IEEE Int. conf. Image Proc., pp. 1029–1032 (2001)
Secker, A., Taubman, D.: Highly scalable video compression using a lifting-based 3d wavelet transform with deformable mesh motion compensation. In: IEEE Int. conf. Image Proc., pp. 749–752 (2002)
Woods, et al.: Bi-Directional MC-EZBC with lifting implementation. IEEE Transaction of Circuits, Systems and Video Technology 14(10) (October 2004)
Choi, S., Woods, J.W.: Motion-compensated 3-D subband coding of video. IEEE Trans. Image Processing 8, 155–167 (1999)
Antonini, M., Barlaud, M., Mathieu, P., Daubechies, I.: Image coding using wavelet transform. IEEE Trans. Image Processing 1, 205–220 (1992)
Woods, et al.: Embedded image coding using zeroblocks of subband/wavelet coefficients and context modeling. Presented at the MPEG-4 Workshop and Exhibition at ISCAS 2000, Geneva, Switzerland (May 2000)
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Karunakar, A.K., Pai, M.M.M. (2007). Computationally Efficient MCTF for MC-EZBC Scalable Video Coding Framework. In: Ghosh, A., De, R.K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2007. Lecture Notes in Computer Science, vol 4815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77046-6_82
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DOI: https://doi.org/10.1007/978-3-540-77046-6_82
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