23645569
Geometric Analysis of Particle Motion in a Vector Image Field
This paper proposes a geometrical model for the Particle Motion in a Vector Image Field (PMVIF) method. The model introduces a c-evolute to approximate the edge curve in the gray-level image. The c-evolute concept has three major novelties: (1) The locus of Particle Motion in a Vector Image Field (PMVIF) is a c-evolute of image edge curve; (2) A geometrical interpretation is given to the setting of the parameters for the method based on the PMVIF; (3) The gap between the image edge’s critical property and the particle motion equations appeared in PMVIF is padded. Our experimental simulation based on the image gradient field is simple in computing and robust, and can perform well even in situations where high curvature exists.
8517904
A Method of Video Quality Assessment Based on the Sensitive Region
Zhou Wang proposed the Structural Similarity theory (MSSIM), Guan-Hao Chen proposed a marginal texture distorts theory on it. Jian-Xin Pang proposed a method of image quality assessment based on the energy of structural distortion (ESD). Because the theory isn't applied directly on the video field and it don’t think over HVS. So we propose a method of video quality assessment based on the sensitive region. First of all, we get the energy of structural distortion (ESD) based on the block. Then, we get the weighted factor according to the structure information and the movement information. Finally, we get the final results according to the HVS. From the last results, we know that the weighting method base on the ESD (WESD) is better than the PSNR, MSSIM and ESSIM on the compress losing, smooth losing and noise losing.
7606399
A fuzzy image metric with application to fractal coding
Image quality assessment is an important issue addressed in various image processing applications such as image/video compression and image reconstruction. The peak signal-to-noise ratio (PSNR) with the L(2)-metric is commonly used in objective image quality assessment. However, the measure does not agree very well with the human visual perception in many cases. A fuzzy image metric (FIM) is defined based on Sugeno's (1977) fuzzy integral. This new objective image metric, which is to some extent a proper evaluation from the viewpoint of the judgment procedure, is closely approximates the subjective mean opinion score (MOS) with a correlation coefficient of about 0.94, as compared to 0.82 obtained using the PSNR. Compared to the L(2)-metric, we demonstrate that a better performance can be achieved in fractal coding by using the proposed FIM.
37994970
Image coding quality assessment using fuzzy integrals with a three-component image model
Based on importance measures and fuzzy integrals, a new assessment method for image coding quality is presented in this paper. The proposed assessment is based on two subevaluations. In the first subevaluation, errors on edges, textures, and flat regions are computed individually. The errors are then assessed using an assessment function. A global evaluation with Sugeno fuzzy integral is then obtained based on the importance measure of edge, texture, and flat region. In the second subevaluation, an importance measure is first established depending on the types of regions where errors occur, a subtle evaluation is then obtained using Sugeno fuzzy integral on all pixels of the image. A final evaluation is obtained based on the two subevaluations. Experimental results show that this new image quality assessment closely approximates human subjective tests such as mean opinion score with a high correlation coefficient of 0.963, which is a significant improvement over peak signal-to-noise ratio, picture quality scale, and weighted mean square error, three other image coding quality assessment methods, which have the correlation coefficients of 0.821, 0.875, and 0.716, respectively.
13987553
Assessment of Color Video Quality with Singular Value Decomposition of Complex Matrix
Most proposed video quality assessment approaches in the literature are only applied to the luminance layer of frame. Others are applied to luminance and chrominance layers respectively and then pooling by means of grayscale image quality metrics. In this paper, we proposed a full-reference objective video quality assessment called CMSVD,which treats luminance and chrominance parts as a whole and considers multiple factors of the human visual system(HVS)and video features. The algorithm is tested on the video quality experts group (VQEG) phase I FR-TV test data set.Experiments show that it has good correlation with perceived video quality.
295516
A fuzzy metric for image quality assessment
Image quality assessment is an important issue addressed in various image processing applications such as image/video compression and image reconstruction. The peak signal-to-noise ratio (PSNR) with the L/sup 2/-metric is commonly used in objective image quality assessment. However, the measure does not agree very well with human visual perception in many cases. In this paper, a fuzzy image metric (FIM) is defined based on M. Sugeno's (1974) fuzzy integral. This new objective image metric, which is to some extent a proper evaluation from the viewpoint of the judgement procedure, is closely approximates the subjective mean opinion score (MOS) with a correlation coefficient of about 0.94, as compared to 0.82 obtained using PSNR.
41922638
Guarded recursive datatype constructors
32974423
OSNET - A Language for Domain Modeling
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
37239622
Classifying Motion Time Series Using Neural Networks
This paper proposes an effective time-series classification model based on the Neural Networks. Classification under this model consists of three phases, namely data preprocessing, training, and testing. The main contributions of the paper are described as following: We propose a feature extraction algorithm, which involves computation of finite difference of sequences, for preprocessing. We employ two different types of Neural Networks for training and testing. The results of the experiments on real univariate motion capture data and synthetic data show that our approach is effective in providing good performance in terms of accuracy. It is therefore a promising method for classifying time-series, in particular for univariate human motion capture data.
2597224
A workflow-based distributed multidisciplinary design optimization framework
In this paper, we propose a generic framework for multidisciplinary design optimization application, which incorporates several existing technologies such as workflow, agent, adapter, Web and XML workflow is used to allow the designer to construct complex branching and iterative MDO problem formulations and automate the design process execution. Agent is employed to manage and coordinate the operations on system resources, and more significantly perform the dynamic load balancing among a cluster of computers. Adapter is integrated to encapsulate commercial or noncommercial engineering tools to provide the designer with uniform interfaces. Web enables the geographically distributed experts to solve a multi-disciplinary problem cooperatively. XML is used to exchange data between adapters and applications. A Java-based prototype system implementation of the proposed MDO framework is presented.
15133148
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by seamlessly exploiting the synergy of both visual feature processing and semantic relevance computation in a new way, and provides improved query efficiency and effectiveness for large general image databases. Our main contributions are as follows: we design novel data structures, namely, a lexical hierarchy, an image-semantic hierarchy, and a number of atomic semantic domains, to capture the semantics and the features of the database, and to provide the indexing scheme. We present a novel image query algorithm based on the proposed structures. In addition, we propose a novel term expansion mechanism to improve the lexical processing. Our extensive experiments indicate that our proposed techniques are effective in achieving high runtime performance with improved retrieval accuracy. The experiments also show that the proposed method has good scalability.