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In this paper, a new method with visual saliency detection for image quality assessment (IQA) is proposed. Through the experiments in this paper, we have verified the proposed method can be effective than most others.
Social media platforms provide rich signal sets to understand the nature of social life, and sentiment analysis techniques have been developed to understand the emotional content of text from sites like Twitter and Facebook. Beyond text however, most social media platforms have images at their core, and communication of images may require quantization. Here, we develop methods and present results...
The visual image design of Olympic Games is an crucial task for each hosting country for which embodies the connotation of the Olympic games. The visual image design of 2016 Rio Olympic Games not only expressed the eternal Olympic spirits, but also conveyed the special understanding on Brazil's Rio Olympic Games. The construction of stadiums, opening ceremony and rewarding medals, communicated its...
A Minor Incident is a personal creation of animated short film that reflects upon the essence of human integration. Through the comparison and combination of individual differences in existential values, this film investigates the essence of group integration. Interactions among various ethnic and cultural groups in Taiwan are presented with a metaphorical story where personification is applied in...
Recent artistic and cultural creations and performances in Taiwan have exhibited certain trends and phenomena. Most creations focused on the essential features and social relationships of everyday lives, traditional craft, and folk traditions and rites and attempted to translate these elements into new forms of contemporary Taiwanese art. In truth, however, such phenomenon begun to appear in the late...
Visual Cryptography is a technique, which is used to conceal the secret image into transparencies and these transparencies are distributed to the intended recipients. They demonstrated a visual secret sharing scheme, where an image was broken up into n shares so that only someone with all n shares could decrypt the image, while any n−1 shares revealed no information about the original image. In this...
Our society is in the trends of changing. As the changing increases, people's stress also increases. In recent year, many research reports found people can focus on drawing pictures and has an effect of mitigating stress when they drawing. The research utilized a survey questionnaire to explore students subjective preferences about the pictures. And use the wearable EEG equipment to detect the brainwave...
The earlier result of his research showed that most Taiwanese SME designers were frustrated in innovations since it takes hard evidences to persuade their managements, but they are in lack of resources. Thus, this research proposed the SSFD model with ready templates to help them. This paper focused on the third stage of the SSFD Model, i.e. "The Stage of Strategy Formulation". It will help...
Many skin detection approaches have been proposed in the image analysis literature. Some are simple and static; the others are dynamic and rely on complex machine learning algorithms and training data. Generally the simple approaches are preferred. We hypothesize that the developers' choice for the simple approaches are due to the reasonable quality of results and ease of implementation, since the...
This method achieves efficient random explorations of open and dynamic environments. It relies on two main assumptions: (1) moveable object are interesting, (2) focus on visually salient areas first, that are not specific to a particular scenario or experimental setup.
Colors play a vital role in letting us perceive and distinguish between the various things that exist in our surroundings. While many of us are able to do so perfectly, some are not blessed with a perfect visual ability. The answer to the question that how fine is our color vision, depends upon some factors which we will be explaining in detail in this paper. When these parameters deviate from their...
Saliency detection is detecting the more attracted regions in an image. Like a loud noise in a quite environment. Saliency is the contrastic difference between the visually attracted items and their neighbourhood. Detecting such attracted areas in the image is termed to be saliency detection. Salient region detection can be broadly classified into contrast based method, learning based, rarity based...
The Cognitive learning process of a human being normally begins with sensory inputs. This process of learning gets hampered in case of persons with one or more perceptual disability. Vision being one of the most important perception, maximum learning happens through it. The absence of vision in humans is often supported by Tactile or Auditory perception during the cognitive learning process. Colour...
As one of the basic properties of image, texture undoubtedly affect the image saliency. We introduce a texture contrast based salient region detection method, which first divide an input image into several nearly uniform super pixels, then analyze the texture feature and calculate the texture differences between regions to detect salient region. In order to obtain a better saliency map, we also optimize...
Abstract: In this paper a segmentation algorithm is used to detect moving objects and to integrate it to a supervision and surveillance systems, in a parking lot, as a first step. One of the way to moving detection in image sequences is the moving object segmentation by background model, very well-known technique that it permit to know what objects are moving. This can be employed, in the second stage,...
This paper deals with the performance evaluation of image segmentation. The goal of this work is to show some techniques that enable the comparison of different segmentation results. We first present a visualization method that facilitates the visual evaluation of a segmentation result. Next, we focus on unsupervised evaluation criteria that do not take into account any a priori knowledge to quantify...
In this study we present a hybrid scheme aiming at tone mapping high dynamic range (HDR) videos into low dynamic range (LDR), to achieve the best possible way of showing HDR content on LDR displays. The proposed scheme selectively tone maps different regions of each frame such that the visually important information is preserved. Then, it applies an average-based technique to ensure there is no sudden...
The trends in a research field, especially changes in the features over the years, are subjects of interest for many researchers. This paper reports an exploratory analysis of the changes of research topics in an academic field. The target data of the analysis are the author-keywords included in papers presented at a series of academic conferences, IEEE International Conference on Data Mining (ICDM)...
Visual strain will be caused by PC operations for a long time a day, which might fail health of human eyes if it continues a week or more. Any action to check it by oneself needs to be done every time PC operations are continued for a multiple of hours. We propose a visual fatigue checker to simply test the fatigue of human eyes and to help us to resume visual health from the fatigue, if any, with...
The GrabCut, which uses the graph-cut iteratively, is popularly used as an interactive image segmentation method since it can produce the globally optimal result. However, since the initialization of the GrabCut is roughly performed by the manual interaction, the accuracy of the segmentation result is not guaranteed when the user defines an inaccurate guide. To solve this problem, in this paper, we...
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