TV Screen Content Extraction and Recognition Algorithm for the Verification of Digital Television Systems

2010 ◽  
Author(s):  
Ivan Kastelan ◽  
Nikola Teslic ◽  
Vukota Pekovic ◽  
Tarkan Tekcan
Keyword(s):  
Recognition Algorithm ◽  
Digital Television ◽  
Content Extraction ◽  
Screen Content

The on-line use of histogram data for high-speed correction and alignment of electron microscope images

1984 ◽  
Vol 42 ◽  
pp. 556-557
Author(s):  
William Krakow
Keyword(s):  
Power Spectrum ◽  
High Speed ◽  
Direct Memory Access ◽  
Digital Television ◽  
Contrast Transfer Function ◽  
The Past ◽  
High Resolution Tem ◽  
On Line ◽  
Correction Of Astigmatism ◽  
The Fourier Transform

In the past few years on-line digital television frame store devices coupled to computers have been employed to attempt to measure the microscope parameters of defocus and astigmatism. The ultimate goal of such tasks is to fully adjust the operating parameters of the microscope and obtain an optimum image for viewing in terms of its information content. The initial approach to this problem, for high resolution TEM imaging, was to obtain the power spectrum from the Fourier transform of an image, find the contrast transfer function oscillation maxima, and subsequently correct the image. This technique requires a fast computer, a direct memory access device and even an array processor to accomplish these tasks on limited size arrays in a few seconds per image. It is not clear that the power spectrum could be used for more than defocus correction since the correction of astigmatism is a formidable problem of pattern recognition.

Digital Television

IEE Review ◽  
1990 ◽  
Vol 36 (11) ◽  
pp. 432
Author(s):  
Peter L. Mothersole
Keyword(s):  
Digital Television

Clearing the picture digital television

IEE Review ◽  
1993 ◽  
Vol 39 (6) ◽  
pp. 253
Author(s):  
M.M. Gleave
Keyword(s):  
Digital Television

SVM-based global vision system of sports competition and action recognition

2020 ◽  
pp. 1-12
Author(s):  
Changxin Sun ◽  
Di Ma
Keyword(s):  
Target Recognition ◽  
Vision System ◽  
Task Assignment ◽  
Recognition Algorithm ◽  
Control Factor ◽  
Training Time ◽  
Adaboost Algorithm ◽  
Advantages And Disadvantages ◽  
Time Control ◽  
Correlation Degree

In the research of intelligent sports vision systems, the stability and accuracy of vision system target recognition, the reasonable effectiveness of task assignment, and the advantages and disadvantages of path planning are the key factors for the vision system to successfully perform tasks. Aiming at the problem of target recognition errors caused by uneven brightness and mutations in sports competition, a dynamic template mechanism is proposed. In the target recognition algorithm, the correlation degree of data feature changes is fully considered, and the time control factor is introduced when using SVM for classification,At the same time, this study uses an unsupervised clustering method to design a classification strategy to achieve rapid target discrimination when the environmental brightness changes, which improves the accuracy of recognition. In addition, the Adaboost algorithm is selected as the machine learning method, and the algorithm is optimized from the aspects of fast feature selection and double threshold decision, which effectively improves the training time of the classifier. Finally, for complex human poses and partially occluded human targets, this paper proposes to express the entire human body through multiple parts. The experimental results show that this method can be used to detect sports players with multiple poses and partial occlusions in complex backgrounds and provides an effective technical means for detecting sports competition action characteristics in complex backgrounds.

Recognition of classroom student state features based on deep learning algorithms and machine learning

2020 ◽  
pp. 1-12
Author(s):  
Hu Jingchao ◽  
Haiying Zhang
Keyword(s):  
Deep Learning ◽  
Feature Recognition ◽  
Subjective Evaluation ◽  
Recognition Algorithm ◽  
Video Data ◽  
State Recognition ◽  
Detection Model ◽  
State Classification ◽  
Intelligent Models ◽  
Model Recognition

The difficulty in class student state recognition is how to make feature judgments based on student facial expressions and movement state. At present, some intelligent models are not accurate in class student state recognition. In order to improve the model recognition effect, this study builds a two-level state detection framework based on deep learning and HMM feature recognition algorithm, and expands it as a multi-level detection model through a reasonable state classification method. In addition, this study selects continuous HMM or deep learning to reflect the dynamic generation characteristics of fatigue, and designs random human fatigue recognition experiments to complete the collection and preprocessing of EEG data, facial video data, and subjective evaluation data of classroom students. In addition to this, this study discretizes the feature indicators and builds a student state recognition model. Finally, the performance of the algorithm proposed in this paper is analyzed through experiments. The research results show that the algorithm proposed in this paper has certain advantages over the traditional algorithm in the recognition of classroom student state features.

ТЕЛЕВІЗІЙНА КОМУНІКАЦІЯ В КОНТЕКСТІ РОЗВИТКУ СУСПІЛЬСТВА

2020 ◽  
pp. 68
Author(s):  
O. Yatchuk ◽  
N. Kodatska
Keyword(s):  
Public Opinion ◽  
Mobile Communications ◽  
Mass Communication ◽  
New Technologies ◽  
Modern World ◽  
Digital Television ◽  
Broadband Internet ◽  
Television Content ◽  
The Usa ◽  
Traditional Technologies

<div><p><em>The article presents the dynamics of the main factors for the development of modern television, the transition from traditional technologies of television broadcasting to the latest technologies. The process of developing digital television and broadband has been technically determined to address the challenge of integrating new technologies into traditional TV content. Ways of expanding the possibilities of interaction between the viewer and the television producer in the context of overcoming the crisis of traditional technologies are analyzed. It is determined that integration, development of mobile communications and Internet technologies are a hallmark of the modern world media space and have a significant influence on the formation of public opinion. The analysis of actual media researches concerning problems of the theory of mass communication is carried out. The phenomenon of «social television», which combines watching TV with simultaneous communication in social networks, is considered. The author draws attention to the disclosure of the determining factors of media communication, the study of the process of feedback from viewers on television. It is stated that the development of modern technologies, namely digital broadcasting and introduction of broadband Internet access to create a multimedia platform that combines Internet communication services and television content, contributes to improving the mechanism of interaction between the TV and the viewer. The theory of the conceptualization of journalism based on identity construction is examined: journalists understand their audience and, as members of that audience, connect with their communities. An analysis of integrated journalistic activity is conducted, which consists of three stages: gathering, editing and disseminating information. It is determined that the influence of the Internet allows the consumer to play his or her role at each stage, thus helping the journalist determine the degree of relevance of the story to himself and to the potential audience. The common features of modern telecontent were singled out and a comparative analysis of the trend of development of interactive TV programs of the USA, UK and Ukraine was made.</em></p></div><p><strong><em>Key words:</em></strong><em> public opinion, two-vector communication, feedback, communication methods, television audience, country telephony.</em></p>

DIGITAL TRANSFORMATION IN EDUCATION: ACTIVE LEARNERS

2019 ◽  
pp. 14-21
Author(s):  
Sevinç GÜLSEÇEN
Keyword(s):  
Computer Games ◽  
Digital Technology ◽  
Electronic Music ◽  
Teaching And Learning ◽  
Active Role ◽  
Digital Transformation ◽  
Technology Literacy ◽  
Digital Television ◽  
Student Centered ◽  
Student Centered Learning

It is argued that the digital technology has made possible the vast range of applications and media forms including virtual reality, digital special effects, digital film, digital television, electronic music, computer games, multimedia, the Internet, the World Wide Web, digital telephony and so on [8]. Digital transformation has been particularly influential in new directions of society.Providing schools with digital technology promises a high return on investment. The presence of computers and Internet access raises technology literacy and skills, better preparing the future generations to participate in the information society [12]. To this end, schools represent ideal access points because they cover a large part of the population, especially in developing countries. Starting from 1990s, many educators have been realised the potential of Internet for educational purposes and began to introduce it into classrooms. According to [10] the popularity of web-based teaching and learning lies in the strengths of its distributed nature and the case of its browsing facility. Both the use of digital technology and increased interest in student-centered learning may lead to a significant change of the teacher’s role, as well as the recognition of the active role of the learner in the learning process.

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