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In this paper, a new method of hand gesture recognition is proposed. First, the hand region is separated based on the depth information. Then the wavelet feature is calculated by enforcing the wavelet invariant moments of the hand region, and the distance feature is extracted by calculating the distance from fingers to hand centroid. Next, a feature vector which is composed of wavelet invariant moments...
Video shot boundary detection is a fundamental step towards video information processing in e-learning scenarios. In the field of shot boundary detection, there still exists difficulty in choosing suitable thresholds for different videos, and empirical thresholds usually lead to low precision. Thus, we propose an original method to generate video-based threshold which is calculated by video itself...
With the extensive use of sophisticated image editing software, it has become easy to manipulate digital images without any visually visible clue. Copy-move is a special type of image forgery performed by copying a part of the image and pasting anywhere else in the same image. We proposed a passive image authentication technique to determine the copy-move forgery. First, the method divides the image...
Key frame extraction is a crucial step in content-based video retrieval. To accurately describe character of frames, various features like color, texture, shape can be integrated and used for key frame extraction. In this paper, we proposed an improved two-phase approach of key frame extraction based on entropy and perceptual hash. It weakens the threshold's direct influence on final results, and...
WiFi-based Human activity recognition has attracted attention in the human-computer interaction, smart homes, and security monitoring fields. We first construct a WiFi-based activity dataset, namely WiAR, to provide a benchmark for existing works. Then, we leverage the moving variance of CSI to detect the start and end of activity. Moreover, we present K-means-based subcarrier selection mechanism...
This paper takes the basic endowment insurance related to social stability and economic development as an example to study the emotional analysis. Extracting major public opinion events and public attitudes related to the basic endowment insurance from the microblog, the paper extracts the subjective review information as the object of the study and perfects the emotional dictionary of the social...
In order to study wind power medium-term forecast method, a combined forecasting method is proposed in this paper, taking gray theory and neural network to combine to forecast wind power of wind farm. Through establishing metabolism gray forecast model, using the linear weighted method to take gray information metabolism model and chaotic neural network model for portfolio optimization, and simulated...
Networks-on-Chip (NoC) is becoming the backbone of modern chip multiprocessor (CMP) systems. However, with the number of integrated cores increasing and the network size scaling up, the network-latency imbalance is becoming an important problem, which seriously influences the performance of the network and system. In this paper, we aim to alleviate this problem by optimizing the design of switch allocation...
To reduce the torque ripples of permanent magnet synchronous motor, this paper proposes a predictive sequence control (PSC) algorithm. Comparing with conventional predictive torque control, PSC takes different switching sequences applied to synthesize voltage vectors into account, and the switching sequence that produces minimum torque ripples will be selected by corresponding predictive algorithm...
A switched reluctance bearingless motor (SRBM) with single layer windings is presented. Particular effects of eddy currents on iron losses, torque and radial forces are analysed. A new principle to explain distribution of magnetic flux in motor sheet caused by eddy currents of frequencies from 3 000 Hz to 90 000 Hz is introduced. Iron losses, torque and radial forces are new estimated and calculated...
We present a method for removing specular highlight reflections in facial images that may contain varying illumination colors. This is accurately achieved through the use of physical and statistical properties of human skin and faces. We employ a melanin and hemoglobin based model to represent the diffuse color variations in facial skin, and utilize this model to constrain the highlight removal solution...
We present a method for radiometric calibration of cameras from a single image that contains a human face. This technique takes advantage of a low-rank property that exists among certain skin albedo gradients because of the pigments within the skin. This property becomes distorted in images that are captured with a non-linear camera response function, and we perform radiometric calibration by solving...
The semantic description of remote sensing image is a useful and meaningful task, which can help us to get a better understanding of the scene depicted in the remote sensing images and make better use of the remote sensing images. Nature language provides good solution for describing the semantic information of remote sensing images. Nature language description of a remote sensing image is to generate...
Different from 2-dimensional (2D) videos, panoramic videos contain spherical viewing direction with the support of head-mounted displays, thus improving immersive and interactive visual experience. Unfortunately, to our best knowledge, there are few subjective visual quality assessment (VQA) methods for panoramic videos. In this paper, we therefore propose a subjective VQA method for assessing quality...
The popularity of multi-view panoramic videos has been considerably increased for producing Virtual Reality (VR) content, due to its immersive visual experience. We argue in this paper that PSNR is less effective in assessing visual quality of compressed panoramic videos than Sphere-based PSNR (S-PNSR), in which sphere-to-plain mapping of panoramic videos is considered. Thus, the conventional rate...
Video summary is important for users to quickly understand the video content. In this paper, first, some selection principles of video content and an importance evaluation model of movie summary are analyzed. Then, a movie summary generation system which includes three subsystems such as video management and retrieval subsystem, video clips selection subsystem, and video summary generation subsystem...
This paper introduces the traditional method and related technologies of digital in-formation resources integration in multi-field, and big data processing. It analyzes the integration process of digital information resources in multi-field which big data is applied. This paper discusses the main problems need to be solve in integration process of digital information resources in which big data is...
This paper describes the implementation of a simple, robust and cost-effective sensorless control technique for PMSM machines. The method uses stator current derivative measurements made in response to certain PWM vectors. In this work the derivatives are created from measurements made with standard hall-effect sensors (at the start and end of switching vectors), meaning that specialist transducers,...
When running data intensive scientific workflow in multiple data centers environment, it is inevitable that massive data movement will be caused. The emergence of cloud computing technologies offers a new way to develop scientific workflow systems, and using dataset replicas to reduce data transfer among data centers is an import issue. In this paper, we propose a group based genetic algorithm which...
By using a rigorous modeling method, the SPR properties in a helical PCF has been simulated for the first time and the resonance effects have been studied by using finite element method. The results show that spiral path will increase propagation loss, but resonance peak values of the spectrum decrease. This is due to a light dispersion away from the center core, causing the energy transfer reduction...
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