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Arbitrarily shaped video-object coding by wavelet

机译:小波任意形状的视频对象编码

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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
机译:视频对象编码是MPEG-4提出的最重要的功能之一。我们提出了一种新的小波方法来对静止对象和视频对象的任意形状对象的纹理进行编码。该方法在MPEG-4静态对象编码中使用形状自适应小波变换(SA-DWT),但计算效率更高。然后,对变换后的对象系数进行量化,并使用部分位平面嵌入式编码器进行熵编码,从而大大提高了编码效率。我们将编码算法称为视频对象小波(VOW)编码器。实验结果表明,在静止对象编码中,VOW明显优于MPEG-4,在PSNR方面,视频对象编码具有可比的性能。而且,与MPEG-4相比,VOW解码的对象在主观上看起来更好,具有更少的令人讨厌的阻塞伪像

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