Nagita Mehrseresht

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Motion-compensated temporal wavelet decomposition is a useful framework for fully scalable video compression schemes. In this paper we propose a new approach to reduce the ghosting arti-facts in low-pass temporal subbands; we adaptively weight the update steps according to the energy in the high-pass temporal sub-bands at the corresponding location.(More)
We investigate the implications of the conventional "t+2-D" motion-compensated (MC) three-dimensional (3-D) discrete wavelet/subband transform structure for spatial scalability and propose a novel flexible structure for fully scalable video compression. In this structure, any number of levels of "pretemporal" spatial wavelet decomposition are performed on(More)
We propose a novel, content adaptive method for motion-compensated three-dimensional wavelet transformation (MC 3-D DWT) of video. The proposed method overcomes problems of ghosting and nonaligned aliasing artifacts which can arise in regions of motion model failure, when the video is reconstructed at reduced temporal or spatial resolutions. Previous MC 3-D(More)
In this paper we propose a novel, adaptive method for motion compensated 3D wavelet transformation (MC 3D-DWT) of video. The proposed method overcomes problems of ghosting and non-aligned aliasing artifacts which can arise in regions of motion model failure, when the video is reconstructed at reduced temporal or spatial resolutions. Previous MC 3D-DWT(More)
We investigate the implications of the conventional " t+2D " MC 3D-DWT structure for spatial scalability, and propose a more exible " 2D+t+2D " structure. An initial S levels of spatial wavelet decomposition are followed by W levels of motion compensated temporal decomposition, applied separately to each spatial resolution level. A further V ¡ S levels of(More)
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