Arbitrarily shaped video object coding by wavelet

Video object coding is one of the most important functionalities proposed by MPEG-4. In this paper, 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 im-plementation. 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 per-formance 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. ∗ This work was done while Dr. Guiwei Xing was an intern at Microsoft Research China

Arbitrarily Shaped Video Object Coding by Wavelet

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 for 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