Scalable reduced dimension object segmentation based on wavelet

Scalable reduced dimension object segmentation (SRDOS) based on wavelet is presented in this paper. SRDOS algorithm is taken advantage of the characteristic of wavelet coefficients multiresolution in the same direction, which makes SRDOS be applied to detect the video object of a reduced dimension image with much lower complexity and more sufficient accuracy. It is also important that SRDOS may be a multiresolution object segmentation algorithm based on wavelet transform. So SRDOS is a fast and efficient object segmentation algorithm. The proposed algorithm has been successfully integrated with our video object based wavelet color image coding algorithm.

[1]  Narendra Ahuja,et al.  Gaussian mixture model for human skin color and its applications in image and video databases , 1998, Electronic Imaging.

[2]  Raphaël Féraud,et al.  A Fast and Accurate Face Detector Based on Neural Networks , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  A. Murat Tekalp,et al.  Semi-automatic video object segmentation in the presence of occlusion , 2000, IEEE Trans. Circuits Syst. Video Technol..

[4]  I. Daubechies,et al.  Factoring wavelet transforms into lifting steps , 1998 .

[5]  Lei Zheng,et al.  Object-based image segmentation using DWT/RDWT multiresolution Markov random field , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[6]  W. Pearlman,et al.  WAVELET CODING OF VIDEO OBJECT BY OBJECT-BASED SPECK ALGORITHM , 2002 .

[7]  M. Meribout Video Segmentation for Content-based Coding , 2004 .

[8]  Shigeru Akamatsu,et al.  Comparative performance of different skin chrominance models and chrominance spaces for the automatic detection of human faces in color images , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[9]  Francis Quek,et al.  Comparison of five color models in skin pixel classification , 1999, Proceedings International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. In Conjunction with ICCV'99 (Cat. No.PR00378).

[10]  Kuo-Chin Fan,et al.  Human face detection using geometric triangle relationship , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[11]  Narendra Ahuja,et al.  Detecting Faces in Images: A Survey , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  William A. Pearlman,et al.  Region-based Spiht Coding and Multiresolution Decoding of Image Sequences , 2002 .

[13]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[14]  Shipeng Li,et al.  MPEG-4 Texture Coding , 2000 .

[15]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[16]  Beatriz Marcotegui,et al.  A toolbox for interactive segmentation based on nested partitions , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[17]  Anil K. Jain,et al.  Face Detection in Color Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Sang Hwa Lee,et al.  13-1 MULTIPLE OBJECTS SEGMENTATION USING HIERARCHICAL STOCHASTIC DIFFUSION , 2001 .

[19]  Jong Beom Ra,et al.  Efficient Image Segmentation Preserving Semantic Object Shapes (Special Section of Papers Selected from ITC-CSCC '98) , 1999 .

[20]  Martin Rumpf,et al.  A Multilevel Segmentation Method , 2000, VMV.

[21]  Shigeru Akamatsu,et al.  Automatic detection of human faces in natural scene images by use of a skin color model and of invariant moments , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.