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It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object appearance and so on. In this paper, a Single-Feature Hierarchical Latent Dirichlet Allocation model called SF-HLDA by extending Latent Dirichlet Allocation to the hierarchical one(More)
A novel method based on space-time image features is proposed for automatic behavior modeling and recognition. The method is composed of the following three steps: (1). Video sequences are converted into a space-time image, and the image is divided into equal length segments; (2). From these segments, an unsupervised technique based on Dynamic Time Warping(More)
Increasing demand for natural rubber prompts studies into the mechanisms governing the productivity of rubber tree (Heveabrasiliensis). It is very interesting to notice that a rubber tree of clone PR107 in Yunnan, China is reported to yield more than 20 times higher than the average rubber tree. This super-high-yielding (SHY) rubber tree (designated as(More)
Most approaches for image retrieval are based on the bag-of-visual-word (BoV) representation. However, the BoV model typically ignores the spatial information that is crucial for visual representation. Zhang, et al. [1] proposed an approach to encode spatial information into Bo V using Geometry-preserving Visual Phrases (GVP). They found 2-GVP gives the(More)
—In this paper, a novel Chinese character localization method is proposed for texts in advertising images. To deal with the texts with gradient color, a color clustering method based on edge is introduced to separate the color image into homogeneous color layers. To solve the problem of locating characters varied in size, style and arranged in irregular(More)
Human behavior recognition is one important task of image processing and surveillance system. One main challenge of human behavior recognition is how to effectively model behaviors on condition of unconstrained videos due to tremendous variations from camera motion, background clutter, object appearance and so on. In this paper, we propose two novel(More)
Enterocytozoon bieneusi is the most common pathogen of 14 microsporidian species infecting humans worldwide. In China, E. bieneusi has been reported in some common livestock and environmental specimens. However, no information is available on occurrence of E. bieneusi in reindeers. The objective of the present study was to detect and genotype E. bieneusi in(More)