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检索条件"主题词=predictive coding"

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3D Scene Modeling for Distributed Video coding

3D Scene Modeling for Distributed Video Coding

引用

IEEE International Conference on Image Processing

作者： Matthieu Maitre Christine Guillemot Luce Morin Beckman Institute University of Illinois Urbana-Champaign Champaign USA IRISA Rennes France

The compression efficiency of distributed video-coding (DVC) suffers from the necessity of transmitting a large number of key-frames which are intra-coded. This paper describes a new 3D model-based DVC approach which reduces the key- frame frequency. The decoder first recovers a 3D model from the key-frames. It then predicts the intermediate frames by projecting it onto 2D image planes and applying image-based rendering techniques. This paper also introduces a new quasi-DVC method relying on a limited point tracking at the encoder. It greatly improves the prediction PSNR, while only slightly increasing the encoder complexity. It also allows the encoder to adaptively select the key-frames based on the video motion-content.

关键词： Layout Video coding Decoding Cameras Video compression Frequency Rendering (computer graphics) PSNR predictive coding Parameter estimation

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A New Steganographic Method Using Quantization Index Modulation

A New Steganographic Method Using Quantization Index Modulat...

引用

International Conference on Computer and Automation Engineering, ICCAE

作者： Hamid Izadinia Fereshteh Sadeghi Mohammad Rahmati Computer Engineering and Information Technology Department Amirkabir University of Technology슠 Tehran Iran

Steganography is the art and science of hiding secret data to provide a safe communication between two parties and it is a prominent branch in the information hiding research area. This paper presents a new steganographic method based on predictive coding and embeds secret message in quantized error values via quantization index modulation (QIM). The proposed method is superior to previous methods in that it can make a satisfying balance among the most concerned criteria in steganography which are imperceptibility, hiding capacity, compression ratio and robustness against attacks. The performance of the proposed method is evaluated by several experiments on gray-level images with different textural properties. The new method is also compared with two renowned steganographic methods namely Jsteg and steganography based on predictive coding (SBPC). The results obtained from the experiments show that the proposed method has high visual quality and less histogram distortion while it has satisfactory compression ratio and embedding size.

关键词： Steganography Image coding Discrete cosine transforms Watermarking Quantization Transform coding predictive coding Histograms Data engineering Modulation coding

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Lossless compression of EEG data using neural network predictors

Lossless compression of EEG data using neural network predic...

引用

International Conference on Neural Information Processing

作者： N. Sriraam R. Kannan C. Eswaran Faculty of information Technology Multimedia University Cyberjaya Malaysia

Lossless compression of electroencephalograph (EEG) data is of great interest to the biomedical research community. Lossless compression through neural network is achieved by using the net as a predictor and coding the prediction error in a lossless manner. The predictive neural network uses a certain number of past samples to predict the present one and in most cases, the differences between the actual and predicted values are zero or close to zero. Entropy coding techniques such as Huffman and arithmetic coding are used in the second stage to achieve a high degree of compression. predictive coding schemes based on single- layer and multi-layer perceptron networks and recurrent network models are investigated in this paper. Compression results are reported for EEG's recorded under various clinical conditions. These results are compared with those obtained by using linear predictors such as FIR and lattice filters.

关键词： Electroencephalography Neural networks Finite impulse response filter Entropy coding Arithmetic predictive coding Multilayer perceptrons Brain modeling predictive models Lattices

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Exponential Decay of Transmission Distortion in H.264

Exponential Decay of Transmission Distortion in H.264

引用

IEEE Workshop on Multimedia Signal Processing

作者： Sunday Nyamweno Ramdas Satyan Fabrice Labeau Department of Electrical and Computer Engineering McGill University Montreal Canada

ISBN: (纸本)9781424412730

In this paper we investigate the impact of transmission errors in H.264. Transmission errors propagate into subsequent frames due to motion prediction and result in degraded video quality. Our simulations show that H.264 exhibits non-fading behaviour. We propose a method that introduces a fading characteristic and can eliminate the error propagation after a few frames. We provide a detailed analysis of our results based on a comparison with MPEG-4 and the residual energy per frame.

关键词： Video compression Decoding Computer errors MPEG 4 Standard Source coding predictive coding Transform coding Transmitters Recursive estimation Degradation

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On Design of Linear Minimum-Entropy Predictor

On Design of Linear Minimum-Entropy Predictor

引用

IEEE Workshop on Multimedia Signal Processing

作者： Xiaohan Wang Xiaolin Wu Department of Electrical and Computer Engineering McMaster University Hamilton ONT Canada

ISBN: (纸本)9781424412730;1424412730;1424412749

Linear predictors for lossless data compression should ideally minimize the entropy of prediction errors. But in current practice predictors of least-square type are used instead. In this paper, we formulate and solve the linear minimum-entropy predictor design problem as one of convex or quasiconvex programming. The proposed minimum-entropy design algorithms are derived from the well-known fact that prediction errors of most signals obey generalized Gaussian distribution. Empirical results and analysis are presented to demonstrate the superior performance of the linear minimum-entropy predictor over the traditional least-square counterpart for lossless coding.

关键词： Entropy Signal design Discrete wavelet transforms predictive coding Image coding Karhunen-Loeve transforms Shape Data compression Computer errors Algorithm design and analysis

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Non-linear short-term prediction in speech coding

Non-linear short-term prediction in speech coding

引用

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

作者： J. Thyssen H. Nielsen S.D. Hansen Tele Denmark Research Horsholm Denmark Electronics Institute Technical University of Denmark Lyngby Denmark

Addresses the question of how to extract the nonlinearities in speech with the prime purpose of facilitating coding of the residual signal in residual excited coders. The short-term prediction of speech in speech coders is extensively based on linear models, e.g. the linear predictive coding technique (LPC), which is one of the most basic elements in modern speech coders. This technique does not allow extraction of nonlinear dependencies. If nonlinearities are absent from speech the technique is sufficient, but if the speech contains nonlinearities the technique is inadequate. The authors give evidence for nonlinearities in speech and propose nonlinear short-term predictors that can substitute the LPC technique. The technique, called nonlinear predictive coding, is shown to be superior to the LPC technique. Two different nonlinear predictors are presented. The first is based on a second-order Volterra filter, and the second is based on a time delay neural network. The latter is shown to be the more suitable for speech coding applications.< >

关键词： Speech coding Linear predictive coding Filters Data mining Information analysis Kernel predictive models predictive coding Delay effects Neural networks

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Layered Multicast Data Origin Authentication and Non-repudiation over Lossy Networks

Layered Multicast Data Origin Authentication and Non-repudia...

引用

IEEE Symposium on Computers and Communications (ISCC)

作者： Y. Hinard H. Bettahar Y. Challal A. Bouabdallah Heudiasyc Laboratory University of Technology of Compiegne France

Security and QoS are two main issues for a successful wide deployment of multicast services. For instance, in a multicast streaming application, a receiver would require a data origin authentication service as well as a quality adaptation technique for the received stream. Signature propagation and layered multicast are efficient solutions satisfying these two requirements. In this paper we investigate the use of signature propagation to ensure data origin authentication service. We, then, propose a set of novel data origin authentication techniques for layered media-streaming video. In addition to data origin authentication, the proposed techniques offer continuous non-repudiation of the origin and data integrity. These techniques take advantage of the preestablished layered structure of the encoded video data to reduce the overhead and improve the overall verification in lossy network environments. We evaluate the performance of the proposed techniques through extensive simulations using NS2 simulator.

关键词： Authentication Data security Streaming media Video coding Quality of service predictive coding Multicast communication Web and internet services Insurance Protection

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A computationally efficient gradient search block matching algorithm for the motion estimation of image sequences

A computationally efficient gradient search block matching a...

引用

International Conference on Digital Signal Processing (DSP)

作者： G. Sinevriotis T. Stouraitis Department of Electrical and Computer Engineering University of Patras Patras Greece

A computationally efficient block matching algorithm is presented to perform motion estimation of image sequences. The algorithm evaluates an objective function for all neighbouring blocks and stops, when no further improvement can be achieved. The complexity of the algorithm is reduced significantly, as the objective function is calculated from the projections of the blocks along the horizontal and the vertical axis. Furthermore, the relationship between projections of the neighbouring blocks is utilized, so as to alleviate the need for fully calculating the projection vectors for each candidate block. The proposed algorithm is compared against the full search (FS), two-dimensional logarithmic search (2D LS), and block based gradient descent search (BBGDS), in terms of complexity and compression performance. Experimental results show that the proposed algorithm exhibits quite good performance at a significantly reduced computational complexity.

关键词： Motion estimation Image coding Image sequences Computational complexity Video sequences Redundancy Electronic mail Bandwidth predictive coding Accuracy

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New Rate Distortion Bounds for Natural Videos Based on a Texture Dependent Correlation Model

New Rate Distortion Bounds for Natural Videos Based on a Tex...

引用

IEEE International Symposium on Information Theory

作者： Jing Hu Jerry D. Gibson Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

ISBN: (纸本)9781424413973

We revisit the classic problem of developing a spatial correlation model for natural images and videos by proposing a conditional correlation model for relatively nearby pixels that is dependent upon five parameters. The conditioning is on local texture and the optimal parameters can be calculated for a specific image or video with a mean absolute error (MAE) usually smaller than 5%. We use this conditional correlation model to calculate the conditional rate distortion function when universal side information is available at both the encoder and the decoder. We demonstrate that this side information, when available, can save as much as 1 bit per pixel for selected videos at low distortions. We further study the scenario when the video frame is processed in macroblocks (MBs) or smaller blocks and calculate the rate distortion bound when the texture information is coded losslessly and optimal predictive coding is utilized to partially incorporate the correlation between the neighboring MBs or blocks.

关键词： Rate-distortion predictive coding Video compression Pixel Decoding Video sequences Optimization methods Rate distortion theory Information theory predictive models

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New statistical models of the JPEG lossless mode subject to the super high definition images

New statistical models of the JPEG lossless mode subject to ...

引用

IEEE International Conference on Image Processing

作者： Y. Kuroki Y. Ueshige T. Ohta Department of Electrical Engineering Kagoshima National College of Technology Kagoshima Japan Department of Electrical Engineering Kyushu Institute of Technology Fukuoka Japan

This paper describes new statistical models of the JPEG lossless mode subject to the super high definition images (SHDI). Seven predictors prepared in the JPEG are very simple to alleviate the complexity of the prediction process, which indicates that prediction residuals correlate. The actual correlation of the residuals exhibits a tendency to be more significant as the number of picture elements increases. Consequently, the conditional probability densities of the residual signals for SHDI differ from the Laplacian distribution commonly assumed in predictive coding. We propose two statistical models considering the peculiar probability densities and investigate the validity of the models by coding simulations.

关键词： Decision trees Probability predictive coding Image coding predictive models Encoding Pixel Educational institutions Laplace equations Redundancy

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