This paper presents a quantization parameter (QP) adjusting *** this work,final QP can be obtained by difference value of rate and *** order to obtain the adjusted quantization,the method adopts quadratic relationship...
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This paper presents a quantization parameter (QP) adjusting *** this work,final QP can be obtained by difference value of rate and *** order to obtain the adjusted quantization,the method adopts quadratic relationship between △R and △Q,and uses the iteration *** adjusting process can be used in adaptive quantization algorithm in video compression coding such as MPEG *** results demonstrate that this algorithm can adjust QP automatically and obtain the better performance in PSNR.
In this paper, the transitivity properties of reciprocal relations, also called probabilistic relations, are investigated within the framework of cycle-transitivity, which generalizes the concepts of T-transitivity, s...
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In this paper, the transitivity properties of reciprocal relations, also called probabilistic relations, are investigated within the framework of cycle-transitivity, which generalizes the concepts of T-transitivity, stemming from fuzzy set theory, and of stochastic transitivity, common to many mathematical models in psychology, social choice and welfare, financial mathematics, etc. It is emphasized that this unifying framework is tailor-made for characterizing the transitivity of reciprocal relations that originate from the comparison of random variables. Interesting types of transitivity are highlighted and shown to be realizable in applications. For example, given a collection of random variables (X k ) kisin1 , pairwisely coupled by means of a same copula C isin {T M ,Tp,T L }, the transitivity of the reciprocal relation Q defined by Q(X i ,X j ) = Prob{X i > X j } + 1/2 Prob{X i = X j } can be characterized within the cycle-transitivity framework. Similarly, given a poset (P, 1,..., x n }, the transitivity of the mutual rank probability relation Qp, where Qp(X i ,X j ) denotes the probability that X i precedes x j in a random linear extension of P, is characterized as a type of cycle-transitivity for which no realization had been found so far.
A novel H.264 frame layer bit allocation scheme based on block histogram difference (BH) is proposed. First, the sufficiency of channel bandwidth is considered at the beginning of each scene. Then, the target bits for...
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A novel H.264 frame layer bit allocation scheme based on block histogram difference (BH) is proposed. First, the sufficiency of channel bandwidth is considered at the beginning of each scene. Then, the target bits for each frame are weighted by the relative complexity measurement based on BH. Experimental results show proposed algorithm can adapt to different relationships between channel bandwidth and encoding complexity of video sequence, and achieves better trade-off between channel bandwidth and compressed video quality.
This paper proposes a nonlinear filter for estimating monotonic underlying trend from noisy observations. The filter computes Maximum A posteriori Probability (MAP) estimate using a monotonic walk model instead of the...
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This paper proposes a nonlinear filter for estimating monotonic underlying trend from noisy observations. The filter computes Maximum A posteriori Probability (MAP) estimate using a monotonic walk model instead of the random walk model in standard linear filtering. The batch estimate is a solution of quadratic programming (QP) problem. This paper shows that the QP has a form of isotonic regression (IR) and has a linear computational complexity. The filter is implemented in a Moving Horizon Estimation (MHE) setting. The data beyond the estimation horizon are replaced by the initial condition parameters (arrival cost). The MHE for IR is nonsmooth, so the existing nonlinear MHE theory is not applicable. By exploiting properties of the IR solution, we develop an update of the MHE arrival cost, which is provably close to the full information MAP solution and stable. The analysis is complemented by a Monte Carlo simulation study of the proposed nonlinear filtering algorithm. The simulation results confirm improved performance of the proposed filter compared with a linear filter and the earlier version of the MHE update.
In the H.264/AVC video codec, a rate-distortion optimization method for mode decision provides high coding efficiency. However, it increases encoding time significantly due to its high complexity. In this paper, we pr...
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In the H.264/AVC video codec, a rate-distortion optimization method for mode decision provides high coding efficiency. However, it increases encoding time significantly due to its high complexity. In this paper, we propose a fast algorithm for inter mode decision using motion cost during motion estimation to reduce the number of candidate modes. The proposed approach makes early 16 times 16 mode decision and early inactive P8 times 8 mode decision. Its encoding performance is similar to that of the fast inter mode decision in the H.264/AVC JM reference software; however, its encoding time is reduced by 30.95% on average. Especially, when quantization parameter (QP) is larger, we obtained better results.
A compact H-plane waveguide cruciform coupler using metallic posts has recently been proposed. It consists of two rectangular waveguides crossing each other at right-angles, two metallic posts arranged on a diagonal l...
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A compact H-plane waveguide cruciform coupler using metallic posts has recently been proposed. It consists of two rectangular waveguides crossing each other at right-angles, two metallic posts arranged on a diagonal line of the cross region for producing directional properties, and one metallic post inserted for matching at each waveguide port. Generally, it is known that any lossless reciprocal 4-port circuit with two-fold symmetry can constitute 90-degree directional coupler, if the four ports are completely matched. In this work, a design of the cruciform hybrid coupler using dielectric posts instead of metallic posts is attempted [3]. The analysis and the design are performed based on the H-plane planar circuit approach for short-circuited boundary segments with the use of the segmentation method. It is shown that good frequency characteristics with fractional bandwidths of about 10% can be realized for the X-band waveguides. The validity of the design results is confirmed by an EM-simulator (Ansoft HFSS) and an experiment.
In this paper, we propose an improved rate control scheme for low delay H.264 video coding. A fast and best selection of initial QP is first proposed in the GOP layer rate control. Then, an improved MAD prediction mod...
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In this paper, we propose an improved rate control scheme for low delay H.264 video coding. A fast and best selection of initial QP is first proposed in the GOP layer rate control. Then, an improved MAD prediction model and overhead bits prediction method is adopted in the MB layer rate control. The simulation results show that the proposed scheme gives an average PSNRY gain of about 0.55 dB when compared with *** addition, the proposed scheme improves the number of frame skipped and reduces the quality deviations of the initial frames by choosing the best initial QP.
Support vector machine (SVM) has been a promising method for data mining and machine learning in recent years. However, the training complexity of SVM is highly dependent on the size of a data set. A cluster support v...
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Support vector machine (SVM) has been a promising method for data mining and machine learning in recent years. However, the training complexity of SVM is highly dependent on the size of a data set. A cluster support vector machines (C-SVM) method for large-scale data set classification is presented to accelerate the training speed. By calculating cluster mirror radius ratio and representative sample selection in each cluster, the original training data set can be reduced remarkably without losing the classification information. The new method can provide an SVM with high quality samples in lower time consuming. Experiments with random data and UCI databases show that the C-SVM retains the high quality of training data set and the classification accuracy in data mining.
Rate control is a critical issue in H.264/AVC video coding standard. The purpose of this paper is to improve allocation of the number of bits without skipping the frame by accurately estimating the target bits in H.26...
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Rate control is a critical issue in H.264/AVC video coding standard. The purpose of this paper is to improve allocation of the number of bits without skipping the frame by accurately estimating the target bits in H.264/AVC rate control. In our scheme, we propose an enhancement to the target frame rate based H.264/AVC bit allocation method. The enhancement is by using a frame complexity estimation to improve the existing mean absolute difference (MAD) based complexity measure. Bit allocation to each frame is not just computed by target frame rate but also adjusted by a combined frame complexity measure. To prevent an undesirable buffer overflow or underflow in short of channel bandwidth, the computed quantization parameter (QP) for the current frame is adjusted based on actual encoding results at that point. The objective of QP and adjustment is to produce bits as close to the target frame as possible, which is especially important for low bandwidth based real-time applications. Simulation results show that the H.264 encoder, using our proposed rate control scheme, obtains significant improvement for the mismatch ratio of target bits and actual bits, achieves a 0.17 dB average PSNR improvement, achieves a similar or smaller PSNR deviation, and achieves time saving of 71 % when compared to the JM 12.1 rate control algorithm.
The paper studied on gas prediction problem. According to traditional prediction methods on coal mine safety being offline without dynamic prediction function and the shortcomings in the traditional online learning wi...
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The paper studied on gas prediction problem. According to traditional prediction methods on coal mine safety being offline without dynamic prediction function and the shortcomings in the traditional online learning with least squares support vector machine (LS-SVM), this paper gave an improved online prediction algorithm of LS-SVM. This algorithm was used in gas prediction of some coal mine. By comparing with the actual data and other relative algorithms, the paper proved effect of the algorithm.
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