Low Bit-Rate Video Coding with 3D Lower Trees (3D-LTW)

The 3D-DWT is a mathematical tool of increasing importance in those applications that require an efficient processing of volumetric info However, the huge memory requirement of the algorithms that compute it is one of the main drawbacks in practical implementations In this paper, we introduce a fast frame-based 3D-DWT video encoder with low memory usage, based on lower-trees In this scheme, there is no need to divide the input video sequence into group of pictures (GOP), and it can be applied in a continuous manner, so that no boundary effects between GOPs appear.

[1]  Zixiang Xiong,et al.  Low bit-rate scalable video coding with 3-D set partitioning in hierarchical trees (3-D SPIHT) , 2000, IEEE Trans. Circuits Syst. Video Technol..

[2]  Giovanni Poggi,et al.  Compression of multispectral images by three-dimensional SPIHT algorithm , 2000, IEEE Trans. Geosci. Remote. Sens..

[3]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[4]  Antonio Ortega,et al.  Line-based, reduced memory, wavelet image compression , 2000, IEEE Trans. Image Process..

[5]  Xiaohui Wang,et al.  Volumetric medical image compression with three-dimensional wavelet transform and octave zerotree coding , 1996, Other Conferences.

[6]  Alessandro Neri,et al.  Video watermarking in the 3D-DWT domain using perceptual masking , 2005, IEEE International Conference on Image Processing 2005.

[7]  Zixiang Xiong,et al.  Very low bit-rate embedded video coding with 3-D set partitioning in hierarchical trees , 2000 .

[8]  Peter Schelkens,et al.  Wavelet Coding of Volumetric Medical Datasets , 2003, IEEE Trans. Medical Imaging.

[9]  Manuel P. Malumbres,et al.  A General Frame-by-Frame Wavelet Transform Algorithm for a Three-Dimensional Analysis with Reduced Memory Usage , 2007, 2007 IEEE International Conference on Image Processing.

[10]  William A. Pearlman,et al.  Three-dimensional subband coding of video using the zero-tree method , 1996, Other Conferences.

[11]  Narciso García,et al.  Progressive Lower Trees of Wavelet Coefficients: Efficient Spatial and SNR Scalable Coding of 3D Models , 2005, PCM.

[12]  David S. Taubman,et al.  Motion-compensated highly scalable video compression using an adaptive 3D wavelet transform based on lifting , 2001, ICIP.

[13]  Zixiang Xiong,et al.  Very Low Bit-Rate Embedded Video Coding with 3D Set Partitioning in Hierarchical Trees (3D SPIHT) , 1997 .

[14]  Yo-Sung Ho,et al.  Advances in Multimedia Information Processing - PCM 2005, 6th Pacific-Rim Conference on Multimedia, Jeju Island, Korea, November 13-16, 2005, Proceedings, Part I , 2005, PCM.

[15]  Manuel P. Malumbres,et al.  Low-Complexity Multiresolution Image Compression Using Wavelet Lower Trees , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Manuel P. Malumbres,et al.  M-LTW: A fast and efficient intra video codec , 2008, Signal Process. Image Commun..

[17]  John W. Woods,et al.  Bidirectional MC-EZBC with lifting implementation , 2004, IEEE Transactions on Circuits and Systems for Video Technology.