Content-Based Coding of Volume Data Using Finite Mixture Model,Octree and Shape-Adaptive DCT

[1]  Boon-Lock Yeo,et al.  Volume Rendering of DCT-Based Compressed 3D Scalar Data , 1995, IEEE Trans. Vis. Comput. Graph..

[2]  Hannan Samet,et al.  Region representation: Quadtrees from binary arrays , 1980 .

[3]  Marc Levoy,et al.  Display of surfaces from volume data , 1988, IEEE Computer Graphics and Applications.

[4]  Eiji Kawaguchi,et al.  On a Method of Binary-Picture Representation and Its Application to Data Compression , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[6]  R. Redner,et al.  Mixture densities, maximum likelihood, and the EM algorithm , 1984 .

[7]  Shigeru Muraki,et al.  Volume data and wavelet transforms , 1993, IEEE Computer Graphics and Applications.

[8]  Jeremy MG Taylor,et al.  Robust Statistical Modeling Using the t Distribution , 1989 .

[9]  Paul Ning,et al.  Fast volume rendering of compressed data , 1993, Proceedings Visualization '93.

[10]  Thomas Sikora,et al.  Shape-adaptive DCT for generic coding of video , 1995, IEEE Trans. Circuits Syst. Video Technol..

[11]  M. Kunt,et al.  Second-generation image-coding techniques , 1985, Proceedings of the IEEE.

[12]  Naoyuki Ichimura,et al.  Volume data coding based on region segmentation using finite mixture model , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[13]  Thomas S. Huang,et al.  A survey of construction and manipulation of octrees , 1988, Comput. Vis. Graph. Image Process..

[14]  Naoyuki Ichimura,et al.  Region Based Coding of Volume Data using Finite Mixture Model , 1996, BMVC.