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In response to the growth of digital photography and its many related applications, researchers have been actively investigating methods for providing automated aesthetical evaluation and classification of photographs. For computational networks to recognize aesthetic qualities, the learning algorithms must be trained using sample sets of characteristics that have known aesthetic values. Traditional...
Photograph aesthetical evaluation has been widely investigated in these decades. For fine-granularity aesthetic quality prediction, a novel aesthetics classifier based on improved artificial neural network combined with an Autoencoder technique is presented. First, we download large consumer photographic images from a well-known online photograph portal. Then, we extract 56 features normalized to...
In this paper, we propose an improved detail enhancement method via guided image. To achieve the best overall balance for the contradictory goals of edge-preserving smoothing and details capturing, we propose a method combining the guided image filter (GIF) with local detail enhancement and the weighted least squares (WLS) filter with global intensity shift for input image. To do so, we first make...
User interactions and social networks are based on web2.0, the well-known application are blogs, Wikis, and image/video sharing sites. They have dramatically increased sharing and participation among web users. Knowledge was collected and information was shared using social software. Wikipedia is a successful example of web technology. It has helped knowledge-sharing between people. User can freely...
The Implementation of the college students' innovative activities is a brand-new topic of the teaching reform and a systems engineering. There exist several questions analyzed in this paper about students' science and technology innovation activities. According to the practice of project in depth, the role position acted by the teachers can be divided into three types: consultant, partners, leader...
It is necessary and important to make the collision detection among the objects or between the object and the scene. If we don't detect collisions, objects will intersect each other or object will intersect the scene. In this paper, we present three algorithms in 2D environment. The objects for collision detection are bounded by the axis-aligned rectangles or circles. The known information such as...
Parameters and individual ability in Dichotomously Scored of Response Theory model are estimated with Back-Propagation Neural Network. The dimension of Scoring matrixes X is descended by using scoring rate or passing rate or coefficient of correlation or guess rate when estimating those item parameters. The method is simulated in computer, and the results show that the item parameters estimation is...
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