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检索条件"主题词=predictive coding"

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A fast progressive lossless image compression method for space and satellite images

A fast progressive lossless image compression method for spa...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jun Takada Shuji Senda Hiroki Hihara Masahiro Hamai Takeshi Oshima Shinji Hagino Makoto Suzuki Satoshi Ichikawa NEC Corporation Common Platform Software Research Laboratories Nara Japan NEC TOSHIBA Space Systems Ltd. Yokohama Japan Japan Aerospace Exploration Agency Sagamihara Japan Japan Aerospace Exploration Agency Tsukuba Japan

This paper presents a fast lossless image compression method for space and satellite images. The method, which we call HIREW, is based on hierarchical interpolating prediction and adaptive Golomb-Rice coding, and achieves 7-35 times faster compression than existing methods such as JPEG2000 and JPEG-LS, at similar compression ratios. Additionally, unlike JPEG-LS, it supports additional features such as progressive decompression using resolution scaling. An implementation of this codec will be used in the Japan Aerospace Exploration Agency (JAXA)'s Venus Climate Orbiter mission (PLANET-C).

关键词： Image coding Satellites Image resolution Pixel Transform coding National electric code Codecs predictive coding Laboratories Venus

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Performance study of frame replenishment transmission systems

Performance study of frame replenishment transmission system...

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IEEE International Conference on Communications (ICC)

作者： L. Zhang M. Goldberg S. Panchanathan Department of Electrical Engineering University of Ottawa ONT Canada

The authors compare the performances of three frame replenishment coding techniques over noiseless and noisy channels. For the noisy channel case, they present noise effects and error propagation effects for the three coding techniques. The three frame replenishment coding techniques are: basic frame replenishment coding (BFR), label replenishment coding using vector quantization (LRVQ), and codeword replenishment coding using vector quantization (CWRVQ). Simulation results demonstrate that, for a noiseless channel, the LRVQ and CWRVQ techniques provide superior coding performance, and tolerance to changes in the picture, compared to the BFR technique. However, in the presence of channel noise, LRVQ and CWRVQ exhibit serious error propagation and noise effects, resulting in poor performance.< >

关键词： Image coding Vector quantization Pulse modulation Image sequences Data compression Modulation coding Transform coding predictive coding Source coding Sun

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Comparison of objective speech quality measures for voiceband CODECs

Comparison of objective speech quality measures for voiceban...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： N. Kitawaki K. Itoh M. Honda K. Kakehi Musashino Electrical Communication Laboratory Nippon Telegraph and Telephone Public Corporation Musashino Tokyo Japan

This paper describes objective quality measures to evaluate speech quality for various kinds of voiceband CODECs in common. The voiceband CODECs studied were PCM, ADM, ADPCM, ATC (Adaptive Transform coding) and APC-AB (Adaptive predictive coding with Adaptive Bit Allocation). First, several objective quality measures in time and frequency domain were defined. They were SNR, Segmental SNR, Spectral Distortion, LPC Cepstrum Distance, COSH, Likelihood Ratio and Weighted Likelihood Ratio. Second, speech quality for voiceband CODECs were evaluated by subjective and objective quality measures. The subjective measures used were based on opinion test and articulation test. Finally, the relationship between objective measures and subjectively evaluated values was studied. It was concluded that the LPC Cepstrum Distance measure had best correspondence to Mean Opinion Score, among the objective measures studied. It was also concluded that the Wighted Likelihood Ratio measure had best correspondence to Articulation Score.

关键词： Speech codecs Distortion measurement Speech analysis Linear predictive coding Cepstrum Testing Phase change materials Transform coding predictive coding Bit rate

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Noise prediction for channel coding with side information at the transmitter

Noise prediction for channel coding with side information at...

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IEEE International Symposium on Information Theory

作者： U. Erez R. Zamir Department of EE-Systems Tel-Aviv University Tel-Aviv Israel

Simple expressions for the capacity and coding strategies for discrete additive noise channels with side information at the transmitter are derived.

关键词： Channel coding Transmitters Additive noise Memoryless systems Decoding Channel capacity Entropy Computational complexity Research and development predictive coding

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Edge flow: A framework of boundary detection and image segmentation

Edge flow: A framework of boundary detection and image segme...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： W.Y. Ma B.S. Manjunath Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

A novel boundary detection scheme based on "edge flow" is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and texture at each image location at a given scale, and constructs an edge flow vector. By iteratively propagating the edge flow, the boundaries can be detected at image locations which encounter two opposite directions of flow in the stable state. A user defined image scale is the only significant control parameter that is needed by the algorithm. The scheme facilitates integration of color and texture into a single framework for boundary detection.

关键词： Image edge detection Image segmentation predictive coding predictive models Object detection Detectors Filters Clustering algorithms Labeling World Wide Web

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A model of spatio-temporal coupling for scene analysis in the primate visual cortex

A model of spatio-temporal coupling for scene analysis in th...

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International Joint Conference on Neural Networks (IJCNN)

作者： P. Grandguillaume Institut des Neurosciences du C.N.R.S Université Pierr et Marie Curie-Paris Paris France

We propose a new model of information processing in the visual cortex for the analysis of motionless images. It uses lateral inhibition and temporally segregated activations between cortical neurons, resulting in predictive coding. It is in agreement with some characteristics of the architecture of the visual cortex of the monkey. The model is based on the segregation of the times of arrival in the visual cortex of signals originating from the retina and relayed in the lateral geniculate nucleus. This distribution of delays depends both on the type of ganglion cell, of its position on the retina, and of its modulation by the cortical network. Indeed the parallel channels into which the retinal image is decomposed are represented as delay lines; and the resulting spatially uniform and discrete distribution of delays is modulated by spatial factors determined by the geometry of the retina.

关键词： Brain modeling Image analysis Retina Information processing Image motion analysis Information analysis Motion analysis Neurons predictive coding Relays

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A efficient predictive wavelet transform for LiDAR point cloud attribute compression

A efficient predictive wavelet transform for LiDAR point clo...

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IEEE Visual Communications and Image Processing (VCIP)

作者： Yueru Chen Jing Wang Ge Li Peng Cheng Lab Shenzhen China Peking University Shenzhen Graduate School China

ISBN: (纸本)9781665475938

In this paper, a new predictive wavelet transform (PWT) is proposed to solve LiDAR point clouds attribute compression. Our method is a combination of predictive coding and Haar wavelet transform. Based on the spatial information, a hierarchical predictive transform tree is designed to represent 3D irregular data points efficiently. Each level node is classified as a predictive node (P-node) or a transform node (T-node) according to the distances to its adjacent nodes. Then in a top-down coding process, the Haar transform is applied to all T-node pairs, and predictive coding is processed on all P-nodes alternately. It is shown by experimental results that the proposed PWT method offers better R-D performances compared with state-of-the-art methods.

关键词： Wavelet transforms Point cloud compression Image coding Laser radar Three-dimensional displays Visual communication predictive coding

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An Effective Epipolar Geometry Assisted Motion Estimation Technique for Multi-View Image and Video coding

An Effective Epipolar Geometry Assisted Motion Estimation Te...

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IEEE International Conference on Image Processing

作者： Jiangbo Lu Hua Cai Jian-guang Lou Jiang Li Department of ESAT University of Leuven Multimedia Group Leuven Belgium Media Communication Group Microsoft Research Asia Beijing China

To efficiently encode data-intensive multi-view imaging content, conventional hybrid predictive coding methodologies choose to address the compression by exploiting temporal and inter-viewpoint redundancy. However, their key yet time-consuming component, motion estimation (ME), is usually not efficient in inter-viewpoint prediction because inter-viewpoint motion is quite different from temporal motion. In essence, inter-viewpoint correlation is subject to epipolar geometry, which provides constraints for multi-view image sequences. A fast inter-viewpoint ME technique is hence proposed in this paper to accelerate the encoding by employing epipolar geometry. Theoretical analysis and experimental results prove that the proposed ME algorithm can greatly reduce search region and effectively track large and irregular motion that is typical for convergent multi-view camera setups. As a result, compared with fast full search at large search size adopted in H.264, our proposed ME algorithm can obtain a similar coding efficiency while achieving a speedup ratio of 2.9.

关键词： Geometry Motion estimation Video coding predictive coding Image coding Image sequences Acceleration Encoding Image motion analysis Algorithm design and analysis

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Multiresolution image compression using Gaussian Markov random fields

Multiresolution image compression using Gaussian Markov rand...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： S. Lakshmanan Dongming Zhao A.-M. Gallagher Department of Electrical and Computer Engineering University of Michigan Dearborn Dearborn MI USA

This paper presents a new scheme for image compression that is based on a multiresolution Gaussian Markov random field (GMRF) model. Given an image, compression is achieved by using a resolution-invariant GMRF to parsimoniously capture the spatial correlation present in the image, and then supplementing this information by adding to it a coarse-resolution decomposition of the image. The given image is reconstructed from this information by expressly minimizing the expected mean-squared error (MSE). The algorithm used to obtain the minimum MSE reconstruction has several attractive features: (1) It is non-recursive, (2) It involves only linear operations, (3) It is exactly implementable, and (4) It can provide optimum reconstruction at multiple resolutions. The experimental results obtained by applying the scheme to a variety of images seem to indicate that this methodology of compressing images has potential, and it illustrates the usefulness of MRF models in compressing images.< >

关键词： Image resolution Image coding Markov random fields Spatial resolution Image reconstruction Image storage Couplings Image retrieval Transform coding predictive coding

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Localization Method of Abnormal Power Usage of Users Based on Artificial Intelligence Application

Localization Method of Abnormal Power Usage of Users Based o...

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Power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Yi Chen Zejian Yan College of Electrical Engineering Changsha University of Science and Technology Changsha China State Grid Zhuzhou Power Supply Company State Grid Hunan Electric Power Co Zhuzhou China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

The human inspection process used in classical power theft detection is expensive and ineffective in obtaining tagged data. With the development of smart grids that store rich user electricity use data, machine learning-based methods for detecting power theft are emerging quickly. However, the question of how to increase power theft detection accuracy without depending on labeled data remains a challenging one to answer. Therefore, In order to detect power theft, this research suggests a strategy based on contrast predictive coding support vector data description(SVDD). To do this, it first uses contrast predictive coding to extract long-term pattern characteristics from user data that most accurately reflect the user’s power consumption habits. And builds positive-negative sample pairs using gated recursive units for comparative learning. The SVDD classifier is then trained using the characteristics retrieved by contrast predictive coding to determine the center and radius of the related hypersphere. Finally, To determine who is stealing electricity, the relationship between the radius of the hypersphere and the distance between the center of the hypersphere and the electricity consumption data to be examined is employed. The algorithm is simulated using actual State Grid data, and the experimental findings demonstrate that, in comparison to the comparative approaches, the model presented in this study has a better classification performance and a reduced false alarm rate.

关键词： Power demand Electricity predictive coding Inspection Feature extraction Prediction algorithms Vectors

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