Abstract
A non-predictive video coding is a new branch of emerging research area in video coding, where the motion estimation/compensation or prediction step in the temporal domain is omitted. One direction was to look for the exploitation of temporal decomposition of video frames. The proposed method consists on 3D to 2D transformation of the temporal frames that allows exploring the temporal redundancy of the video using 2D wavelet transforms and avoiding the computationally demanding motion compensation step. Although the many advantages presented by the proposed coder, some annoying artifacts still exist. In this paper, we will explore the performances of the proposed method and try to better show what it actually offers to users. The paper presents also the extensions chosen in order to reduce the perceived artifacts and increase the perceptual as well as objective (PSNR) decoded video quality, which is actually competitive with state-of-the-art video coder algorithms, especially when low computational demands of the proposed approach are taken into account.
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References
Molino, A., Vacca, F.: Low complexity video codec for mobile video conferencing. In: EUSIPCO, Vienna, Austria, pp. 665–668 (2004)
Gokturk, S.B., Aaron, A.M.: Applying 3d methods to video for compression. In: Digital Video Processing (EE392J) Projects Winter Quarter (2002)
Servais, M.P.: Video compression using the three dimensional discrete cosine transform. In: Proc. COMSIG, pp. 27–32 (1997)
Burg, R.A.: 3d-dct real-time video compression system for low complexity singlechip vlsi implementation. In: Mobile Multimedia Conf, MoMuC (2000)
Koivusaari, J.J., Takala, J.H.: Simplified three-dimensional discrete cosine transform based video codec. In: Proc. SPIE-IS&T EI Symposium, San Jose, CA (January 2005)
Ouni, T., Ayedi, W.: New low complexity DCT based video compression method. In: International Conference on Telecommunication, Morocco 2009 (2009)
Fryza, T.: Compression of Video Signals by 3D-DCT Transform. Diploma Thesis. Institute of Radio Electronics, FEKT Brno University of Technology, Czech Republic (2002)
Fryza, T.: Improving Quality of Video Signals Encoded by 3D DCT Transform. In: 48th International Symposium ELMAR 2006 focused on Multimedia Signal Processing and Communications, pp. 89–93 (elmar 2006)
Brunelli, R., Mich, O., Modena, C.M.: A survey on the automatic indexing of video data. Journal of Visual Communication and Image Representation 10(2), 78–112 (1999)
Idris, F., Panchanathan, S.: Review of image and video indexing techniques. Journal of Visual, Communication and Image Representation 8(2), 146–166 (1997)
Ahanger, G., Little, T.D.C.: A survey of technologies for parsing and indexing digital video. Journal of Visual Communication and Image Representation 7(1), 28–43 (1996)
Xing, Q., Yan, X.: Tiling artifact reduction for JPEG2000 image at low bit-rate. In: ICME 2004, Taipei, Taiwan (2004)
Marusic, B., Skocir, P.: Video post-processing with adaptive 3-D filters for wavelet ringing artifact removal. IEICE Transactions on Information and Systems 88(5), 1031–1040 (2005)
Liang, J., Tu, C.: Optimal block boundary pre/post-filtering for wavelet-based image and video compression. In: ICIP 2004, Singapore (2004)
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Ouni, T., Ayedi, W., Abid, M. (2010). New Non Predictive Wavelet Based Video Coder: Performances Analysis. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13772-3_35
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DOI: https://doi.org/10.1007/978-3-642-13772-3_35
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