scholarly journals Resolving ownership rights of video data using visible and invisible watermarking in DWT-SVD domain

2021 ◽  
Vol 1767 (1) ◽  
pp. 012053
Author(s):  
S Ponni alias sathya ◽  
S Ramakrishnan ◽  
T Sumathi ◽  
S Sasidharan
2020 ◽  
Vol 39 (6) ◽  
pp. 8927-8935
Author(s):  
Bing Zheng ◽  
Dawei Yun ◽  
Yan Liang

Under the impact of COVID-19, research on behavior recognition are highly needed. In this paper, we combine the algorithm of self-adaptive coder and recurrent neural network to realize the research of behavior pattern recognition. At present, most of the research of human behavior recognition is focused on the video data, which is based on the video number. At the same time, due to the complexity of video image data, it is easy to violate personal privacy. With the rapid development of Internet of things technology, it has attracted the attention of a large number of experts and scholars. Researchers have tried to use many machine learning methods, such as random forest, support vector machine and other shallow learning methods, which perform well in the laboratory environment, but there is still a long way to go from practical application. In this paper, a recursive neural network algorithm based on long and short term memory (LSTM) is proposed to realize the recognition of behavior patterns, so as to improve the accuracy of human activity behavior recognition.


2020 ◽  
pp. 1-12
Author(s):  
Hu Jingchao ◽  
Haiying Zhang

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.


MBIA ◽  
2019 ◽  
Vol 17 (2) ◽  
pp. 23-32
Author(s):  
Deddy Hendarwan

Attitudes and behaviors are the unity of a person's character which is formed by habit everyday. Entrepreneurial behavior is influenced by internal and external factors. These factors are ownership rights (property right, PR), abilities / competencies (competency / ability,), and incentives while external factors include the environment thus Attitudes and behavior can be changed by oneself and / or there are environmental pressures / influences. there is an influence from within themselves and from outside the environment to associate then grow indi attitudes and specific behaviors. It is necessary to anticipate small businesses’ difficulties by conducting an empirical study  on  the  entrepreneurial  spirit,  entrepreneurial  values,  and  assessment  of entrepreneurial behavior that may affect the realization of independence efforts. This study  aims to  analyze the  influence of  entrepreneurial spirit  and entrepreneurial values on entrepreneurial behavior to create business independence. The findings show that the entrepreneurial spirit has a direct positive influence on entrepreneurial behavior and positive indirect effect on the business independence.


2020 ◽  
Vol 2020 (4) ◽  
pp. 116-1-116-7
Author(s):  
Raphael Antonius Frick ◽  
Sascha Zmudzinski ◽  
Martin Steinebach

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.


Author(s):  
Harjyot Kaur ◽  
Manjit Kaur

High Technology entrepreneurship is very important aspect in many debates, including those which are regarding launching new firms and development, regional economic development, section of stakeholders, selection of markets, educating managers and scientists.The purpose of this article is to define the high technology entrepreneurship, and identify its various aspects in relation with economics, entrepreneurship and management.High technology entrepreneurship is an investment in a project that uses various specialized individuals and various assets to create and capture the value of firm. Collaborative experiments and production of new products, assets and their attributes, which related to advances in scientific and technological knowledge and the firm’s asset ownership rights are the various factors which distinguishes Technology entrepreneurship from other entrepreneurship types (e.g. Social entrepreneurship, Small business and Self employment).


2016 ◽  
Vol 45 (2) ◽  
pp. 28-48 ◽  
Author(s):  
Isaac Dery

Women’s access to and control over productive resources, including land, has increasingly been recognized in global discussions as a key factor in reducing poverty, ensuring food security and promoting gender equality. Indeed, this argument has been widely accepted by both feminists and development theorists since the 1980s. Based on qualitative research with 50 purposively selected men and women, this study explored the complexity of women’s access to and control over land within a specific relationship of contestations, negotiations, and manipulations with men. Data were analyzed using thematic analysis. While theoretically, participants showed that women’s [secure] access to and control over land has beneficial consequences to women themselves, households and the community at large, in principle, women's access and control status was premised in the traditional framework which largely deprives women, equal access and/or control over the land. The study indicates that even though land is the most revered resource and indeed, the dominant source of income for the rural poor, especially women, gender-erected discrimination and exclusion lie at the heart of many rural women in gaining access to land. This study argues that women's weak access rights and control over land continue to perpetuate the feminization of gender inequality–while men were reported to possess primary access and control over land as the heads of households, women were argued to have secondary rights due to their ‘stranger statuses’ in their husbands’ families. Overall, the degree of access to land among women was reported to be situated within two broad contexts–marriage and inheritance.


2019 ◽  
Vol 85 (6) ◽  
pp. 53-63 ◽  
Author(s):  
I. E. Vasil’ev ◽  
Yu. G. Matvienko ◽  
A. V. Pankov ◽  
A. G. Kalinin

The results of using early damage diagnostics technique (developed in the Mechanical Engineering Research Institute of the Russian Academy of Sciences (IMASH RAN) for detecting the latent damage of an aviation panel made of composite material upon bench tensile tests are presented. We have assessed the capabilities of the developed technique and software regarding damage detection at the early stage of panel loading in conditions of elastic strain of the material using brittle strain-sensitive coating and simultaneous crack detection in the coating with a high-speed video camera “Video-print” and acoustic emission system “A-Line 32D.” When revealing a subsurface defect (a notch of the middle stringer) of the aviation panel, the general concept of damage detection at the early stage of loading in conditions of elastic behavior of the material was also tested in the course of the experiment, as well as the software specially developed for cluster analysis and classification of detected location pulses along with the equipment and software for simultaneous recording of video data flows and arrays of acoustic emission (AE) data. Synchronous recording of video images and AE pulses ensured precise control of the cracking process in the brittle strain-sensitive coating (tensocoating)at all stages of the experiment, whereas the use of structural-phenomenological approach kept track of the main trends in damage accumulation at different structural levels and identify the sources of their origin when classifying recorded AE data arrays. The combined use of oxide tensocoatings and high-speed video recording synchronized with the AE control system, provide the possibility of definite determination of the subsurface defect, reveal the maximum principal strains in the area of crack formation, quantify them and identify the main sources of AE signals upon monitoring the state of the aviation panel under loading P = 90 kN, which is about 12% of the critical load.


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