With the pervasiveness of the success cases of SaaS applications, outsourcing the manuscript submission and review system of periodical presses to SaaS providers becomes a new trend. This study proposes a solution for...
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ISBN:
(纸本)9781467350693
With the pervasiveness of the success cases of SaaS applications, outsourcing the manuscript submission and review system of periodical presses to SaaS providers becomes a new trend. This study proposes a solution for constructing the journal manuscript submission and review system based on level-3 maturity model of SaaS. In this article, the requirements of the system have been elicited, the architecture has been designed, and the key implementation has been presented. By renting the services provided by the system instead of buying or developing, the periodical presses can not only obtain better technical support, but also save costs. In addition, the periodical press can utilize its agglomeration effect based on SaaS platform and subscribe the value-added services such as journal recommendation service to implicit contributors and reviewer recommendation service to periodical presses which will be helpful to promote the quality and impact factor of the journal.
With the rapid growth of web data, a large amount of web videos are availab.e online. However, how to organize them for facilitating users' experience and government supervision remains a problem yet to be serious...
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Depth of Field (DoF) is an indispensable feature of photo realistic rendering and photography retouching. In this paper, we propose an image-based rendering technique which can simulate the depth-of-field effect. The ...
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Depth of Field (DoF) is an indispensable feature of photo realistic rendering and photography retouching. In this paper, we propose an image-based rendering technique which can simulate the depth-of-field effect. The proposed technique can render the depth-of-field effect automatically without any interactions. Compared to the ordinary depth-of-field rendering technique, our algorithm is less time-consuming and needs no additional depth maps to assist the depth-of-field rendering. In our proposed algorithm, the saliency detection technique is employed to simulate the depth information. The flash-based technique is also introduced to promote the final depth-of-field rendering visual effect.
Representation of image content is an important part of image annotation and retrieval, which has become a hot topic in computer vision recently. In order to represent image content more efficiently and accurately, gr...
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ISBN:
(纸本)9781479902590
Representation of image content is an important part of image annotation and retrieval, which has become a hot topic in computer vision recently. In order to represent image content more efficiently and accurately, grid based methods such as bag-of-words, were proposed and attracted more attention. However, how to segment images and which scale is the best one are still open problems. In this paper, we segment images into grids in several different scales and extract low-level features from every grid, then visual words are constructed by clustering. Through comparing and analyzing the experiment results based on Corel SK, we study the influence of multi-scale segmentation on representation of image content. Our research is helpful for choosing appropriate scales in different situations where image contents are represented, and meaningful to image classification and retrieval.
In response to the high demand of big data analytics, several programming models on large and distributed cluster systems have been proposed and implemented, such as MapRe-duce, Dryad and Pregel. However, compared wit...
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In response to the high demand of big data analytics, several programming models on large and distributed cluster systems have been proposed and implemented, such as MapRe-duce, Dryad and Pregel. However, compared with high performance computing areas, the basis and principles of computation and communication behavior of big data analytics is not well studied. In this paper, we review the current big data computational model DOT and DOTA, and propose a more general and practical model p-DOT (p-phases DOT). p-DOT is not a simple extension, but with profound significance: for general aspects, any big data analytics job execution expressed in DOT model or BSP model can be represented by it; for practical aspects, it considers I/O behavior to evaluate performance overhead. Moreover, we provide a cost function implying that the optimal number of machines is near-linear to the square root of input size for a fixed algorithm and workload, and demonstrate the effectiveness of the function through several experiments.
Image segmentation can help us with a better understanding of the image content, and thus plays an important role in many fields of image processing including image retrieval, object recognition and image compression....
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ISBN:
(纸本)9781479902590
Image segmentation can help us with a better understanding of the image content, and thus plays an important role in many fields of image processing including image retrieval, object recognition and image compression. We propose a novel method based on an efficient Graph-Based segmentation after analyzing its irrationalities. The proposed method with bag-of-pixels is simple and effective. In the evaluation using a large public image database that contains a lot of natural images, our method out-performs the efficient graph-based segmentation method, yields better segmentation results and shortens the running time.
A particle swarm optimization (PSO)-based automatic system to determine the number of optimal band sets and corresponding bands is proposed. A simple searching criterion function, called minimum estimated abundance co...
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In many practical data mining applications, such as web categorization, key gene selection, etc., generally, unlab.led training examples are readily availab.e, but lab.led ones are fairly expensive to obtain. Therefor...
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In the past two decades, Support Vector Machine (SVM) has become one of the most famous classification techniques. The optimal parameters in an SVM kernel are normally obtained by cross validation, which is a time-con...
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In this paper, an invariant algorithm for object recognition is proposed by using the Radon and Fourier transforms. It has been shown that this algorithm is invariant to the translation and rotation of pattern images....
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