摘要 :
In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Some...
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In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Some attempts toward a more general motion model usually too complex to be practical in near future. In this paper, a new Block-Matching Translation and Zoom Motion-Compensated Prediction (BTZMP) is proposed to extend the pure translational model to a more general model with zooming in a practical way. It adopts the camera zooming and object motions that becomes zooming while projected on the video frames. The proposed BTZMP significantly improve motion compensated prediction. Experimental results show that BTZMP can give prediction gain up to 1.09dB compared to conventional sub-pixel block-matching MCP. In addition, BTZMP can be incorporated with Multiple Reference Frames (MRF) technique to give extra improvement, evidentially by the prediction gain ranging up to 2.08dB in the empirical simulations.
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摘要 :
In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Some...
展开
In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Some attempts toward a more general motion model usually too complex to be practical in near future. In this paper, a new Block-Matching Translation and Zoom Motion-Compensated Prediction (BTZMP) is proposed to extend the pure translational model to a more general model with zooming in a practical way. It adopts the camera zooming and object motions that becomes zooming while projected on the video frames. The proposed BTZMP significantly improve motion compensated prediction. Experimental results show that BTZMP can give prediction gain up to 1.09dB compared to conventional sub-pixel block-matching MCP. In addition, BTZMP can be incorporated with Multiple Reference Frames (MRF) technique to give extra improvement, evidentially by the prediction gain ranging up to 2.08dB in the empirical simulations.
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摘要 :
In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Some...
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In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Some attempts toward a more general motion model usually too complex to be practical in near future. In this paper, a new Block-Matching Translation and Zoom Motion-Compensated Prediction (BTZMP) is proposed to extend the pure translational model to a more general model with zooming in a practical way. It adopts the camera zooming and object motions that becomes zooming while projected on the video frames. The proposed BTZMP significantly improve motion compensated prediction. Experimental results show that BTZMP can give prediction gain up to 1.09dB compared to conventional sub-pixel block-matching MCP. In addition, BTZMP can be incorporated with Multiple Reference Frames (MRF) technique to give extra improvement, evidentially by the prediction gain ranging up to 2.08dB in the empirical simulations.
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摘要 :
Ballistic target translational motion compensation is beneficial to motion parameter extraction. Aiming at the problem of multiple scattering points translational motion compensation, an algorithm is proposed to extract the transl...
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Ballistic target translational motion compensation is beneficial to motion parameter extraction. Aiming at the problem of multiple scattering points translational motion compensation, an algorithm is proposed to extract the translational motion parameters of ballistic targets based on using the projection transform of the whole micro-frequency curve by Radon transform in this paper. First, establishing and analyzing the typical ballistic target model and the expressions of scattering points' micro-frequency are solved. Second, target signal is pre-compensated based on radar information and time-frequency transform. And Radon transform is applied to the parameter projection of time-frequency curve. Then translational motion parameters are estimated based on minimum entropy criteria and gauss fitting. Finally, translational motion is compensated by making use of the estimated motion parameters. Simulation results verify the validity of the proposed algorithm.
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This paper presents a rotational motion estimation and correction technique for digital image stabilization (DIS). An equivalent rotation model is derived so as to accommodate a combined rotational and translational motion. Based ...
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This paper presents a rotational motion estimation and correction technique for digital image stabilization (DIS). An equivalent rotation model is derived so as to accommodate a combined rotational and translational motion. Based on this model, the rotati
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摘要 :
This paper presents a rotational motion estimation and correction technique for digital image stabilization (DIS). An equivalent rotation model is derived so as to accommodate a combined rotational and translational motion. Based ...
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This paper presents a rotational motion estimation and correction technique for digital image stabilization (DIS). An equivalent rotation model is derived so as to accommodate a combined rotational and translational motion. Based on this model, the rotati
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摘要 :
This paper presents a rotational motion estimation and correction technique for digital image stabilization (DIS). An equivalent rotation model is derived so as to accommodate a combined rotational and translational motion. Based ...
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This paper presents a rotational motion estimation and correction technique for digital image stabilization (DIS). An equivalent rotation model is derived so as to accommodate a combined rotational and translational motion. Based on this model, the rotati
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摘要 :
In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Atte...
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In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Attempts toward a more general motion model are usually too complex to be practical in near future. In this paper, a new Block-Matching Translation and Zoom Motion-Compensated Prediction (BTZMP) is proposed to extend the pure translational model to a more general model with zooming. It adopts the camera zooming and object motions that becomes zooming while projected on video frames. Experimental results show that BTZMP can give prediction gain up to 2.25dB for various sequences compared to conventional block-matching MCP. BTZMP can also be incorporated with multiple reference frames technique to give extra improvement, evidentially by the prediction gain ranging from 2.03 to 3.68dB in the empirical simulations.
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摘要 :
This paper proposes an affine motion compensated prediction (AMCP) method to predict the complex changes between the successive frames in panoramic video coding. A panoramic video is an image-based rendering (IBR) technique [1] wh...
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This paper proposes an affine motion compensated prediction (AMCP) method to predict the complex changes between the successive frames in panoramic video coding. A panoramic video is an image-based rendering (IBR) technique [1] which provides users with a large field of view (e.g. 360 degree) on surrounding dynamic scenes. It includes not only the translational motions but also the non-translational motions, such as zooming and rotation etc. However, the traditional motion compensated prediction is a translational motion compensated prediction (TMCP) which cannot predict non-translational changes between panoramic images accurately. The AMCP can model the non-translational motion effects of panoramic video accurately by using six motion coefficients which are estimated by Gauss Newton iterative minimization algorithm [2]. Simulated results show that the gain of coding performance is up to about 1.3 dB when using AMCP compared with TMCP in panoramic video coding.
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摘要 :
This paper proposes an affine motion compensated prediction (AMCP) method to predict the complex changes between the successive frames in panoramic video coding. A panoramic video is an image-based rendering (IBR) technique [1] wh...
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This paper proposes an affine motion compensated prediction (AMCP) method to predict the complex changes between the successive frames in panoramic video coding. A panoramic video is an image-based rendering (IBR) technique [1] which provides users with a large field of view (e.g. 360 degree) on surrounding dynamic scenes. It includes not only the translational motions but also the non-translational motions, such as zooming and rotation etc. However, the traditional motion compensated prediction is a translational motion compensated prediction (TMCP) which cannot predict non-translational changes between panoramic images accurately. The AMCP can model the non-translational motion effects of panoramic video accurately by using six motion coefficients which are estimated by Gauss Newton iterative minimization algorithm [2]. Simulated results show that the gain of coding performance is up to about 1.3dB when using AMCP compared with TMCP in panoramic video coding.
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