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Background subtraction is a technique for detecting moving objects in video frames. A simple BS process involves building a model of the background and extracting regions of the foreground (moving objects) with the assumptions that the camera remains stationary and there exist no movements in the background. Video object extraction is a critical task in multimedia analysis and editing. Normally, the...
In this paper, we solve the searching problem by high level features used by sign language recognition. Firstly, we find the face in video frames that has complex background, and then we find the left sign and right sign in specific areas. By computing the signs' length, position, velocity, acceleration, Fourier figure descriptor and etc, we generate the signs' dynamic features. Consequently, we segment...
In this paper, we solve the searching problem by high level features used by hand language recognition. Firstly, we find the face in video frames that has complex background, and then we find the left hand and right hand in specific areas. By computing the hands' length, position, velocity, acceleration, Fourier figure descriptor and etc, we generate the hands' dynamic features. Consequently, we segment...
In this paper, we solve the searching problem by high level features used by hand language recognition. Firstly, we find the face in video frames that has complex background, and then we find the left hand and right hand in specific areas. By computing the hands' length, position, velocity, acceleration, Fourier figure descriptor and etc, we generate the hands' dynamic features. Consequently, we segment...
In this paper, we solve the searching problem by high level features used by hand language recognition. Firstly, we find the face in video frames that has complex background, and then we find the left hand and right hand in specific areas. By computing the hands' length, position, velocity, acceleration, Fourier figure descriptor and etc, we generate the hands' dynamic features. Consequently, we segment...
Data mining are an important Held of research. However, there is an important challenge to apply the Data mining technique to NLP applications. An integrated data mining system for NLP in Chinese Commercial Web Sites is presented in this paper. It firstly extracted the raw data using NLP technology and then presented the data mining process in detail to acquire the user preferences. More importantly,...
Data mining are an important field of research. However, there is an important challenge to apply the Data mining technique to NLP applications. An integrated data mining system for NLP in Chinese Commercial Web Sites is presented in this paper. It firstly extracted the raw data using NLP technology and then presented the data mining process in detail to acquire the user preferences. More importantly,...
Web mining has become an important field of research. However, there is an important challenge to applying the technique to NLP applications. An integrated data mining system for NLP in Chinese commercial Web sites is presented in this paper. It presented the data mining process in detail. More importantly, it puts forward a new enhanced method to acquire user preferences. Web mining applied to NLP...
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