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Association link network (ALN) can organize massive Web information to provide many intelligent services in our big data society. Effective semantic layered technologies not only can provide theoretical support for knowledge discovery in Web resources, but also can improve the searching efficiency of related information systems such as Web information system and industrial information system. How...
AdaBoost algorithm based on Haar-like features can achieves high accuracy (above 95%) in object detection. Meanwhile massive computing power is needed to implement the cascaded classifiers involved in AdaBoost detection. To solve this problem, several dedicated hardware solutions have been proposed for real-time applications. In this work, a novel heterogeneous architecture of an AdaBoost detector...
The advantages of Convolutional Neural Networks (CNNs) with respect to traditional methods for visual pattern recognition have changed the field of machine vision. The main issue that hinders broad adoption of this technique is the massive computing workload in CNN that prevents real-time implementation on low-power embedded platforms. Recently, several dedicated solutions have been proposed to improve...
Today, video surveillance technology is playing a more and more important role in traffic detection. Vehicle's static properties are crucial information in examining criminal and traffic violations. With the development of Video Surveillance technology, it has been wildly used in the traffic monitoring. Therefore, there is a trend to use Video Surveillance to do intelligent analysis on vehicles. Now,...
To understand which concepts are visualizable and to what extent they can be visualized are worthwhile for multimedia and computer vision research. Unfortunately, few previous works have ever touched such topics. In this paper, we propose an unified model to automatically identify visual concepts and estimate their visual characteristics, or visualness, from a large-scale image dataset. To this end,...
Logical entity recognition in document page images is the essential part of a document image analysis system. A heterogeneous collection of document pages usually has many layout styles. Features extracted from same logical entities in different styles may have very different values and vice versa. Therefore, logical entity classifiers learned from a training set of multi-style document pages may...
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