Title :
Arbitrarily shaped video object coding by wavelet
Author :
Xing, Guiwei ; Li, Jin ; Li, Shipeng ; Zhang, Ya-gin
Author_Institution :
Inst. of Math. Sci., Beijing Univ., China
Abstract :
Video object coding is one of the most important functionalities proposed by MPEG4. In this paper, we propose a new wavelet method to encode the texture of an arbitrarily shaped object, both for the still and video object. The method uses the shape adaptive wavelet transform (SA-DWT) in MPEG4 still object coding, but with a computationally more efficient lifting implementation. The transformed object coefficients are then quantized and entropy encoded with a partial bitplane embedded coder, which greatly improves the coding efficiency. We denote the coding algorithm as a video object wavelet (VOW) coder. Experimental results show that VOW significantly outperforms MPEG4 in still object coding, and achieves a comparable performance in video object coding in terms of PSNR. Moreover, the VOW decoded object looks better subjectively, with less annoying blocking artifacts than that of MPEG4
Keywords :
data compression; discrete wavelet transforms; entropy codes; image texture; quantisation (signal); video coding; DWT; MPEG4; PSNR; arbitrarily shaped object; blocking artifacts reduction; coding efficiency improvement; entropy encoding; partial bitplane embedded coder; shape adaptive wavelet transform; still object coding; texture encoding; transformed object coefficients; video object coding; video object wavelet coder; wavelet method; Decoding; Discrete cosine transforms; Entropy; Extrapolation; Graphics; MPEG 4 Standard; PSNR; Shape; Video compression; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856115