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Authentication Method Using a Discrete Wavelet Transform for a Digital moving image

Journal of Information Security 2016年第1期7卷 1-13页

作者： Ren Fujii Yasunari Yoshitomi Taro Asada Masayoshi Tabuse Graduate School of Life and Environmental Sciences Kyoto Prefectural University Kyoto Japan

Recently, several digital watermarking techniques have been proposed for hiding data in the frequency domain of moving image files to protect their copyrights. However, in order to detect the water marking sufficiently after heavy compression, it is necessary to insert the watermarking with strong intensity into a moving image, and this results in visible deterioration of the moving image. We previously proposed an authentication method using a discrete wavelet transform for a digital static image file. In contrast to digital watermarking, no additional information is inserted into the original static image in the previously proposed method, and the image is authenticated by features extracted by the wavelet transform and characteristic coding. In the present study, we developed an authentication method for a moving image by using the previously proposed method for astatic image and a newly proposed method for selecting several frames in the moving image. No additional information is inserted into the original moving image by the newly proposed method or into the original static image by the previously proposed method. The experimental results show that the proposed method has a high tolerance of authentication to both compressions and vicious attacks.

关键词： Authentication moving image Copyright Protection Tolerance to Compression Wavelet Transforms

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Development of PC-based Electronic Teaching and Learning Materials for De- scriptive Geometry

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Computer Aided Drafting,Design and Manufacturing 2013年第3期23卷 58-64页

作者： LI Shao-jing Soichiroh INOUE Tohru KANADA Graduate School of Mechanical Engineering Kanto Gakuin University Department of Mechanical Engineering Kanto Gakuin University Department of Science and Engineering Kanto Gakuin Univeristy

Descriptive geometry is very important and recognized as a basic skill and knowledge for mechanical engineering student. In this study, PC-based electronic teaching/learning materials for descriptive geometry are created using Flash, which is a typical animation creator. Furthermore, several axonometric representations, created by 3D-CAD, SolidWorks, for 3D objects are auxiliary materials to promote understanding of descriptive geometry. The axonometric representations in 3D-CAD are also dynamic, in other words, a viewpoint can be moved free. The movement of 3D model in a PC monitor can be recorded using a normal function of SolidWorks and replayed by typical animation software. The developed materials are excellent at accuracy of drawing, repeatability of self-study and visual attraction in comparison to oral presentation using still image and inaccurate drawing on a textbook or blackboard in a classroom. Actually, questionnaire survey results present favorable impressions from student-users, although they point out the further improvement in the replaying speed. The replaying speed can be controlled easily by using a normal function of Flash. In addition, usual playback software for animation has functions of pause and replay on demand and, thus, it is not contro-versial.

关键词： Electronic teaching material descriptive geometry moving image animation creator Flash 3D-CAD SolidWorks questionnaire survey

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Application of Depth Learning Algorithm in Automatic Processing and Analysis of Sports images

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Computer Systems Science & Engineering 2023年第10期47卷 317-332页

作者： Kai Yang North China University of Water Resources and Electric Power Henan450000China

With the rapid development of sports,the number of sports images has increased *** and automatic processing and analysis of moving images are significant,which can not only facilitate users to quickly search and access moving images but also facilitate staff to store and manage moving image data and contribute to the intellectual development of the sports *** this paper,a method of table tennis identification and positioning based on a convolutional neural network is proposed,which solves the problem that the identification and positioning method based on color features and contour features is not adaptable in various *** the same time,the learning methods and techniques of table tennis detection,positioning,and trajectory prediction are studied.A deep learning framework for recognition learning of rotating flying table tennis is put *** mechanism and methods of positioning,trajectory prediction,and intelligent automatic processing of moving images are studied,and the self-built data sets are trained and verified.

关键词： Deep learning algorithm convolutional neural network moving image trajectory intelligent processing

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