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—Given a collection of web images with the corresponding textual descriptions, in this paper, we propose a novel cross-domain learning method to classify these web multimedia objects by transferring the correlation knowledge among different information sources. Here, the knowledge is extracted from unlabeled objects through unsupervised learning and applied(More)
With the proliferation of smart devices, disaster responders and community residents are capturing footage, pictures and video of the disaster area with mobile phones and wireless tablets. This multimedia disaster situation information is critical for assisting emergency management (EM) personnel to effectively respond in a timely manner. Currently, however(More)
—Multimedia information plays an increasingly important role in humans daily activities. Given a set of web multimedia objects (images with corresponding texts), a challenging problem is how to group these images into several clusters using the available information. Previous researches focus on either adopting individual information, or simply combining(More)
With the rapid development of technologies for fast access to the Internet and the popularization of digital cameras, enormous digital images are posted and shared online everyday. Simultaneously, web images are usually organized by topics of events and are often assigned appropriate topic-related text descriptions. Given a set of images along with(More)
The connection structure of class 1 integron and insertion sequence common region 1 (ISCR1) is called “complex class 1 integrons” or “complex sul1-type integrons”, which is also known to be associated with many resistance genes. This structure is a powerful gene-capturing tool kit that can mobilize antibiotic resistance genes. In order to look for and study(More)
With the rapid development of technologies for fast Internet access and the popularization of digital cameras, an enormous number of digital images are posted and shared online everyday. Web images are usually organized by topic and are often assigned appropriate topic-related textual descriptions. Given a large set of images along with the corresponding(More)
In recent years, feature based object detection has attracted increasing attention in computer vision research community. However, to our best knowledge, no previous work has focused on utilizing local binary pattern (LBP) for vehicle detection in Intelligent Transportation System(ITS) domain. In this paper, we develop a novel traffic monitoring system(More)
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