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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...
Automated video analysis in fishery has drawn increasing attention since it is more scalable and deployable in conducting survey, such as fish catch tracking and size measurement, than traditional human observers. However, there are challenges from the wild sea environment, such as the rapid motion of the tide and the white water foam on the surface, which can create large noise in video data. In...
Network forensics requires analysts to efficiently reason about various attack phenomena from massive data. Visualization techniques can convert abstract data into visual sensitive graphics; thus, forensic officers can extract useful information quickly. In this paper, we present a matrix-based visualization system for visualized forensic analysis on unintelligible traffic datasets. The system consists...
The proportion of aged population nowadays almost rises acutely in each countries, which resulted from the increasing life expectancy and falling fertility rates. The impairment of mobility is a major health concern for the elderly. While the more decline of daily activities, more dangerous the elderly would be. The design of an image-based surveillance system for tracking elderly's activities in...
This paper presents an automatic event detection system fusing low and mid level features for soccer videos. We first employ an improved approach for Shot Boundary Detection with color and our mean-gradient feature. Then we classify the shots into two view types. We also perform a template-based replay detection for each shot. Play-break sequences are then generated using a rule-based method. We devise...
We report a full-color meta-hologram based on a reflective metasurface. The reconstructed image of the meta-hologram is polarization-dependent with three primary colors, arranged in a plasmonic array in visible light region.
This paper introduces a 2-D index map coding of the palette mode in screen content coding extension of the High-Efficiency Video Coding (HEVC SCC) standard to further improve the compression performance. In contrast to the current 1-D search using RUN to represent the length of matched string, we bring the block width and height to describe the arbitrary rectangle shape. We also use the block vector...
In order to overcome the existing fruit recognition method only for single feature recognition which leads the problem of lower recognition rate, this paper proposes a recognition method based on multi-feature and multi-decision. Firstly, we preprocess the fruit image which is to be classified, separateing foreground and background, and then we divide the target area. Secondly, in order to take full...
This paper presents a hardware/software (HW/SW) co-design approach to establish a contact lenses try-on system via the use of the Field Programmable Gate Array (FPGA) [1]. To achieve an interactive user-friendly environment, the menu of contact lenses and the result are displayed on the LCD touch panel directly. After capturing the user's image via CMOS sensor, image processing is used to determine...
A defect classification algorithm with bag of visual words approach for thin film transistor liquid crystal display (TFT-LCD) manufacturing is proposed in this paper. Color and SIFT features are introduced to describe defect region. Visual words vocabularies are learnt separated for each features. The two features are separately coded in bag of visual words and combined by multiple chi-square kernel...
Invariant image is widely used to remove shadows in images, however, the proposed methods based on invariant image are too difficult to implement. In this paper, a simple method is proposed in this field. First, the Fisher discrimination criterion is applied to find the invariant direction accurately, and then the corresponding invariant image can be obtained. Second, the linear least squares fitting...
On the characteristics of cloud computing research, build a server platform, highlighting the rapid processing of data using it to store data capacity and security, in this based on OpenGL-based visualization design of mine .With three-dimensional data fusion, the abstract data becomes intuitive, image, improve rapid response capabilities, improve the modernization level of the mine management.
Cast shadow is a common phenomenon in remote sensing (RS) images. Dark vegetation areas in RS images are apt to be mis-detected in shadow detection. In this paper, an improved shadow detection method was presented base on the spectral feature of shadows. Based on the green component is larger in vegetation areas, construct the mask of vegetation areas. Aim to the complex areas of urban images, detect...
An automated cotton contamination detection system is economical and efficient to guarantee higher textile quality and lower production cost. A vision system is proposed to realize a fully automated cotton inspection scheme. In the system, cotton contamination is detected based on texture feature. Gray Level Co-occurrence Matrix (GLCM) algorithm is adopted to detect the sharp contrast objects. A rotating...
We present a novel image representation that characterizes a color image by an intensity image and a small number of color pixels. Our idea is based on solving an inverse problem of colorization: Given a color image, we seek to obtain an intensity image and a small subset of color pixels, which are called landmark pixels, so that the input color image can be recovered faithfully using the intensity...
Intention-oriented computational visual attention (ICVA) model attempts to imitate human vision by computational intelligence. This paper contributes to enabling the ICVA model with learning ability so as to acquire or change intention according to assigned image samples. This innovative design is called the self-learning ICVA model which contains a neuro-fuzzy network to learn intention from image...
Although the quadtree has many merits in image representation and image processing, its compactness is impaired by the excessive emphasis on the symmetry of segmentations. In this paper, a lossless gray level image representation, titled overlapped rectangle image representation (ORIR), is presented. The ORIR has removed the constraint of the symmetric segmentations and is capable of coding some detached...
Geometric moments have been widely used in image processing and pattern recognition. However, there are still no algorithms to compute the exact geometric moments of gray level images. In this paper, a novel image presentation method, named overlapped rectangle image representation (ORIR), is firstly presented, and then, based on ORIR, an effective algorithm for computing the exact geometric moments...
This paper presents a new algorithm for detecting and tracking multiple moving objects in both outdoor and indoor environments. The proposed method measures the change of a combined color-texture feature vector in each image block to detect moving objects. The texture feature is extracted from DCT frequency domain. An attributed relational graph (ARG) is used to represent each object, in which vertices...
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