Title :
Arbitrarily shaped video-object coding by wavelet
Author :
Xing, Guiwei ; Li, Jin ; Li, Shipeng ; Zhang, Ya-Qin
Author_Institution :
Inst. of Math. Sci., Peking Univ., Beijing, China
fDate :
10/1/2001 12:00:00 AM
Abstract :
Video-object coding is one of the most important functionalities proposed by MPEG-4. We propose a new wavelet method to encode the texture of an arbitrarily shaped object, both for the still and for the video-object. The method uses the shape adaptive wavelet transform (SA-DWT) in MPEG-4 still object coding, but with a computationally more efficient lifting implementation. The transformed object coefficients are then quantized and entropy encoded with a partial bit-plane embedded coder, which greatly improves the coding efficiency. We denote the coding algorithm as the video-object wavelet (VOW) coder. Experimental results show that VOW significantly outperforms MPEG-4 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 MPEG-4
Keywords :
discrete wavelet transforms; entropy codes; image texture; noise; quantisation (signal); transform coding; video coding; MPEG-4 still object coding; PSNR; SA-DWT; blocking artifacts; coding algorithm; coding efficiency; entropy coding; lifting implementation; partial bit-plane embedded coder; quantization; shape adaptive discrete wavelet transform; texture coding; transformed object coefficients; video object wavelet coder; video-object coding; wavelet method; Decoding; Discrete cosine transforms; Entropy; Graphics; MPEG 4 Standard; PSNR; Shape; Video coding; Video compression; Wavelet transforms;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on