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Exhaustive scanning is a popular scheme for the detection of visual objects in images. In this paper, we propose a polyline-driven detection scheme with an application to stop sign detection. Given an input image, we first extract basic polylines, including line segments and 2-piece polylines, from its edge image. Line segments are then used to generate a set of hypothesis boxes, i.e., a space of...
In this paper, we propose a leg-driven physiology framework for pedestrian detection. The framework is introduced to reduce the search space of candidate regions of pedestrians. Given a set of vertical line segments, we can generate a space of rectangular candidate regions, based on a model of body proportions. The proposed framework can be either integrated with or without learning-based pedestrian...
Based upon the theoretical perspective from Uses and Gratifications (U&G) theory, this study develops a nomological model to explain how incentivized gamification, hedonic presence, individual needs and platform synergy affect consumer active participation in the phenomena of online shopping carnival on singles' day in China. Data gathered from online shopping consumers in China through a large-scale...
Connected components of edge pixels are valuable for many applications, e.g., Image segmentation, contour extraction, and text detection. However, a connected component of edge pixels may not form a simple curve due to the existence of bifurcation pixels, and thus limits its application in shape modeling. In this paper, we propose an approach to remove bifurcation pixels in an edge image, which let...
The present study investigated differences in the motivation of Chinese learners of English in a foreign and second language context. The participants consisted of 132 Chinese learners of English in China (English as a foreign language learners – EFL learners) and 122 Chinese learners of English in New Zealand (English as a second language learners – ESL learners). The motivation of 254 learners was...
Audio semantic analysis is an important issue for multimedia applications. In this paper, we propose a neural network based approach to analyze the high-level semantic content of audio event sequences for the action movies. According to the time interval between adjacent basic audio events, we first divide the given event sequence into some scene segments, and then discover the high-level semantic...
The internet is playing an increasing role in shifting the source of moral standards from face-to-face communities to online virtual networks. The virtual internet erodes our ability to act in concert with locally defined moral standards. To investigate whether network anonymity could increase the utilitarian in personal moral dilemma choice, using personal moral dilemmas as probes, 30 participants...
Different classes of information system stakeholders depend on different values to be successful. Understanding stakeholders' value dependencies is critical for developing software intensive systems. However, there is no universal one-size-fits-all stakeholder/ value metric that can be applied for a given system. This paper presents an analysis of major classes of stakeholders' value priorities using...
Contour extraction of Drosophila (fruit fly) embryos is an important step to build a computational system for matching expression pattern of embryonic images to assist the discovery of the nature of genes. Automatic contour extraction of embryos is challenging due to severe image variations, including i) the size, orientation, shape and appearance of an embryo of interest; ii) the neighboring context...
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