Abstract | ||
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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 |
Year | DOI | Venue |
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2001 | 10.1109/76.954500 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
coding efficiency,coding algorithm,partial bitplane embedded coder,partial bit-plane embedded coder,shape adaptive wavelet transform,video-object coding,psnr,mpeg4,wavelet method,video-object wavelet,shaped object,noise,dwt,transformed object coefficients,video object wavelet coder,lifting implementation,vow decoded object,blocking artifacts,quantization,quantisation (signal),data compression,still object coding,arbitrarily shaped object,transform coding,blocking artifacts reduction,still-object coding,shape adaptive discrete wavelet transform,video coding,sa-dwt,texture encoding,new wavelet method,coding efficiency improvement,texture coding,image texture,entropy codes,entropy coding,object coefficient,discrete wavelet transforms,mpeg-4 still object coding,entropy encoding,video object coding,decoding,shape,wavelet transforms,video compression,entropy,graphics,wavelet transform,extrapolation | Computer vision,Pattern recognition,Coding tree unit,Computer science,Multiview Video Coding,Discrete wavelet transform,Artificial intelligence,Data compression,Stationary wavelet transform,Wavelet packet decomposition,Context-adaptive binary arithmetic coding,Wavelet transform | Journal |
Volume | Issue | ISSN |
11 | 10 | 1051-8215 |
ISBN | Citations | PageRank |
0-7803-5482-6 | 14 | 1.69 |
References | Authors | |
7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guiwei Xing | 1 | 14 | 1.69 |
Jin Li | 2 | 1880 | 138.73 |
Shipeng Li | 3 | 3902 | 252.94 |
Ya-Qin Zhang | 4 | 3684 | 320.41 |