The Experts below are selected from a list of 8196 Experts worldwide ranked by ideXlab platform
Yue Wenying - One of the best experts on this subject based on the ideXlab platform.
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ICME - Spatial Prediction Based Intra-Coding
2020Co-Authors: Yin Baocai, Kong Dehui, Yue WenyingAbstract:According to H.264 video coding standard, Spatial Prediction is used for intra block coding. The luma Prediction may be based on 4×4 block, for which there are nine Prediction modes, or 16×16 macroblock., for which four Prediction modes. For chroma Prediction, there are also four Prediction modes. In this paper, a new method is proposed for improving the intra Prediction algorithm, the first step in which is to apply direction to the results of the DC Prediction and the second step in which is to use simplified modes to reduce computational complexity.
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Spatial Prediction based intra-coding [video coding]
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004Co-Authors: Yin Baocai, Kong Dehui, Yue WenyingAbstract:According to the H.264 video coding standard, Spatial Prediction is used for intra block coding. The luma Prediction may be based on a 4/spl times/4 block, for which there are nine Prediction modes, or a 16/spl times/16 macroblock., for which there are four Prediction modes. For chroma Prediction, there are also four Prediction modes. In this paper, a new method is proposed for improving the intra Prediction algorithm, the first step is to apply direction to the results of the DC Prediction and the second step is to use simplified modes to reduce computational complexity.
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Spatial Prediction based intra coding
International Conference on Multimedia and Expo, 2004Co-Authors: Yin Baocai, Kong Dehui, Yue WenyingAbstract:According to H.264 video coding standard, Spatial Prediction is used for intra block coding. The luma Prediction may be based on 4×4 block, for which there are nine Prediction modes, or 16×16 macroblock., for which four Prediction modes. For chroma Prediction, there are also four Prediction modes. In this paper, a new method is proposed for improving the intra Prediction algorithm, the first step in which is to apply direction to the results of the DC Prediction and the second step in which is to use simplified modes to reduce computational complexity.
Christine Guillemot - One of the best experts on this subject based on the ideXlab platform.
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sparse representations for Spatial Prediction and texture refinement
Journal of Visual Communication and Image Representation, 2011Co-Authors: Aurelie Martin, Christine Guillemot, Jeanjacques Fuchs, Dominique ThoreauAbstract:In this work, we propose a novel approach for signal Prediction based on the use of sparse signal representations and Matching Pursuit (MP) techniques. The paper first focuses on Spatial texture Prediction in a conventional block-based hybrid coding scheme and secondly addresses inter-layer Prediction in a scalable video coding (SVC) framework. For Spatial Prediction the signal reconstruction of the block to predict is based on basis functions selected with the MP iterative algorithm, to best match a causal neighborhood. Inter-layer MP based Prediction employs base layer upsampled components additionally to the causal neighborhood in order to improve the representation of high frequencies. New solutions are proposed for efficiently deriving and exploiting the atoms dictionary through phase refinement and mono-dimensional basis functions. Experimental results indicate noticeable improvement of rate/distortion performance compared to the standard Prediction methods as specified in H.264/AVC and its extension SVC.
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MMSP - Spatial Prediction in distributed video coding using Wyner-Ziv DPCM
2008 IEEE 10th Workshop on Multimedia Signal Processing, 2008Co-Authors: Jayanth Nayak, Gagan Rath, Denis Kubasov, Christine GuillemotAbstract:This paper deals with Spatial Prediction in Wyner-Ziv video coding. Coding structures that extend DPCM to the distributed coding scenario are presented. Using a high resolution approximation, the optimal Prediction filters for these structures are derived. The resulting predictive coder is employed to compress the DC component of a transform based distributed video coding system. Preliminary results show rate-distortion gains compared to the case without Spatial Prediction.
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Spatial Prediction in distributed video coding using Wyner-Ziv DPCM
2008 IEEE 10th Workshop on Multimedia Signal Processing, 2008Co-Authors: Jayanth Nayak, Gagan Rath, Denis Kubasov, Christine GuillemotAbstract:This paper deals with Spatial Prediction in Wyner-Ziv video coding. Coding structures that extend DPCM to the distributed coding scenario are presented. Using a high resolution approximation, the optimal Prediction filters for these structures are derived. The resulting predictive coder is employed to compress the DC component of a transform based distributed video coding system. Preliminary results show rate-distortion gains compared to the case without Spatial Prediction.
Tay-shen Wang - One of the best experts on this subject based on the ideXlab platform.
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An efficient Spatial Prediction-based image compression scheme
IEEE Transactions on Circuits and Systems for Video Technology, 2002Co-Authors: Tzu-chuan Chou, Tay-shen WangAbstract:We have designed a Spatial Prediction-based image-compression scheme. The proposed scheme consists of two phases: the Prediction phase and the quantization phase. In the Prediction phase, a hierarchical structure among pixels in the image is built. Following the constructed hierarchical structure, the neighboring pixels are utilized to predict every central pixel. The Prediction scheme generates an image map which indicates the Prediction errors. The structure of the resulting image map is very similar to the result of a discrete wavelet transform. Thus, most quantization methods of wavelet or subband image-compression algorithms can be followed in our scheme directly to yield good compression performance. In the quantization phase, we design a multilevel threshold scheme to further enhance the result of SPIHT by taking the significance of the pixel values and the hierarchical levels into account. Furthermore, the proposed scheme can be realized by only a few integer additions and bit shifts. Simulation results indicate that the visual quality of the designed efficient Spatial Prediction-based image compression scheme is competitive with JPEG. All the above features make the designed image-compression scheme beneficial to the applications of real-time and wireless transmission in low-computational power environments.
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An efficient Spatial Prediction-based image compression scheme
2000 IEEE International Symposium on Circuits and Systems (ISCAS), 2000Co-Authors: Tzu-chuan Chou, Tay-shen WangAbstract:An efficient Spatial Prediction-based progressive image compression scheme is developed in this paper. The proposed scheme consists of two phases, namely, the Prediction phase and the quantization phase. In the Prediction phase, information of the nearest neighbor pixels is utilized to predict the center pixel. Next in-place processes are taken, i.e., the resulting Prediction error is stored in the same memory location as the predicted pixel. Thus, the temporary storage space required is significantly reduced in the encoding process as well as decoding process. The Prediction scheme generates Prediction error images with hierarchical structure, which can employ the result of many existing quantization schemes, such as EZW and SPIHT algorithms. As a result, a progressive coding feature is obtained in a straightforward manner. In the quantization phase, we extend the multilevel threshold scheme. Not only the pixel intensity value itself but also level significance is taken into account. In the experimental testing, we illustrate that the proposed scheme yields compression quality advantages. It outperforms several existing image compression schemes. Furthermore, the proposed scheme can be realized by only integer addition and shift operations. Tremendous amounts of computation-saving are achieved. The above features make the proposed image compression scheme beneficial to the areas of real-time applications and wireless transmission in limited bandwidth and low computation power environments.
Yin Baocai - One of the best experts on this subject based on the ideXlab platform.
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ICME - Spatial Prediction Based Intra-Coding
2020Co-Authors: Yin Baocai, Kong Dehui, Yue WenyingAbstract:According to H.264 video coding standard, Spatial Prediction is used for intra block coding. The luma Prediction may be based on 4×4 block, for which there are nine Prediction modes, or 16×16 macroblock., for which four Prediction modes. For chroma Prediction, there are also four Prediction modes. In this paper, a new method is proposed for improving the intra Prediction algorithm, the first step in which is to apply direction to the results of the DC Prediction and the second step in which is to use simplified modes to reduce computational complexity.
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Spatial Prediction based intra-coding [video coding]
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004Co-Authors: Yin Baocai, Kong Dehui, Yue WenyingAbstract:According to the H.264 video coding standard, Spatial Prediction is used for intra block coding. The luma Prediction may be based on a 4/spl times/4 block, for which there are nine Prediction modes, or a 16/spl times/16 macroblock., for which there are four Prediction modes. For chroma Prediction, there are also four Prediction modes. In this paper, a new method is proposed for improving the intra Prediction algorithm, the first step is to apply direction to the results of the DC Prediction and the second step is to use simplified modes to reduce computational complexity.
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Spatial Prediction based intra coding
International Conference on Multimedia and Expo, 2004Co-Authors: Yin Baocai, Kong Dehui, Yue WenyingAbstract:According to H.264 video coding standard, Spatial Prediction is used for intra block coding. The luma Prediction may be based on 4×4 block, for which there are nine Prediction modes, or 16×16 macroblock., for which four Prediction modes. For chroma Prediction, there are also four Prediction modes. In this paper, a new method is proposed for improving the intra Prediction algorithm, the first step in which is to apply direction to the results of the DC Prediction and the second step in which is to use simplified modes to reduce computational complexity.
Yan Lu - One of the best experts on this subject based on the ideXlab platform.
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A novel coefficient scanning scheme for directional Spatial Prediction-based image compression
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003Co-Authors: Yan LuAbstract:Spatial Prediction is a promising technique for image coding. For example, the coming AVC/H.264 standard adopts directional Spatial Prediction in the intra frame coding. Similar to the traditional DCT-based image coding schemes, it still scan the transform coefficients in a zigzag order, which is inefficient for coding the residual signals predicted from the different directions. To tackle this problem, a new scheme of scanning the transform coefficients by utilizing the Spatial Prediction information is proposed in this paper. The distribution of transform coefficients from each direction of Spatial Predictions is fully studied. According to the statistics, the adaptive scan table is derived for each type of Spatial Predictions, which is indicated by the Prediction mode. Experimental results demonstrate that the proposed scheme can always outperform the JVT codec using zigzag scanning. Moreover, it does not introduce any extra computing costs in software implementation.
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ICME - A novel coefficient scanning scheme for directional Spatial Prediction-based image compression
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003Co-Authors: Yan LuAbstract:Spatial Prediction is a promising technique for image coding. For example, the coming AVC/H.264 standard adopts directional Spatial Prediction in the intra frame coding. Similar to the traditional DCT-based image coding schemes, it still scan the transform coefficients in a zigzag order, which is inefficient for coding the residual signals predicted from the different directions. To tackle this problem, a new scheme of scanning the transform coefficients by utilizing the Spatial Prediction information is proposed in this paper. The distribution of transform coefficients from each direction of Spatial Predictions is fully studied. According to the statistics, the adaptive scan table is derived for each type of Spatial Predictions, which is indicated by the Prediction mode. Experimental results demonstrate that the proposed scheme can always outperform the JVT codec using zigzag scanning. Moreover, it does not introduce any extra computing costs in software implementation.
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Efficient background video coding with static sprite generation and arbitrary-shape Spatial Prediction techniques
IEEE Transactions on Circuits and Systems for Video Technology, 2003Co-Authors: Yan Lu, Feng WuAbstract:An efficient static sprite-generation and compression scheme is proposed for background video coding. First, considering both short- and long-term motion influences, a hybrid technique is proposed in the sprite generation to search the background motion relative to the generated sprite image. In order to prevent the sprite image from being blurred due to the inaccurate segmentation, a reliability-based blending technique is developed. Both the background video at every frame and the sprite image are categorized into reliable, unreliable, and undefined regions. Each region uses a unique strategy in blending. This makes the proposed technique work well even in the case of coarse segmentation. Second, an arbitrary-shape Spatial Prediction technique is proposed to efficiently compress the sprite image. Due to the property of the background video object, the sprite image often contains many flat and texture-correlation regions. Therefore, utilizing directional Spatial Prediction can significantly improve the efficiency of sprite coding. In general, the generated sprite is not a rectangular image. Since traditional Spatial-Prediction methods have difficulty in handling those contour blocks, a padding technique derived from rate-distortion optimization is proposed. Experimental results show that the proposed scheme can generate the background sprite image with better visual quality. Compared with the MPEG-4 sprite-coding scheme, it can also significantly improve the coding efficiency up to 3.0 dB at low bit rates.
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ICIP (1) - High efficient sprite coding with directional Spatial Prediction
Proceedings. International Conference on Image Processing, 2002Co-Authors: Yan Lu, Feng WuAbstract:Sprite is an efficient and concise method for the representation of a background video object, which is typically compressed with the MPEG-4 object-based coding technique. Due to the property of a background video object, a sprite image often comprises many flat and texture-correlation regions. In order to fully exploit Spatial redundancy, the paper proposes an idea of utilizing directional Spatial Prediction to improve sprite coding. In general, the generated sprite is not a rectangular image. Since traditional Spatial Prediction techniques have difficultly dealing with those contour blocks, a padding technique is first proposed to fill transparent regions in contour blocks by considering both the correlation of pixels within a block and the correlation among neighboring blocks. Then every block is encoded by the INTRA coding technique developed in H.26L. Experimental results show that the propose sprite coding scheme outperforms the MPEG-4 object-based coding by up to 3.0 dB at low bit rates. Furthermore, the proposed scheme essentially extends directional Spatial Prediction from frame-based coding to arbitrary shape object coding.
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High efficient sprite coding with directional Spatial Prediction
Proceedings. International Conference on Image Processing, 2002Co-Authors: Yan Lu, Feng WuAbstract:Sprite is an efficient and concise method for the representation of a background video object, which is typically compressed with the MPEG-4 object-based coding technique. Due to the property of a background video object, a sprite image often comprises many flat and texture-correlation regions. In order to fully exploit Spatial redundancy, the paper proposes an idea of utilizing directional Spatial Prediction to improve sprite coding. In general, the generated sprite is not a rectangular image. Since traditional Spatial Prediction techniques have difficultly dealing with those contour blocks, a padding technique is first proposed to fill transparent regions in contour blocks by considering both the correlation of pixels within a block and the correlation among neighboring blocks. Then every block is encoded by the INTRA coding technique developed in H.26L. Experimental results show that the propose sprite coding scheme outperforms the MPEG-4 object-based coding by up to 3.0 dB at low bit rates. Furthermore, the proposed scheme essentially extends directional Spatial Prediction from frame-based coding to arbitrary shape object coding.
