RETRACTED ARTICLE: Image retargeting based on self-learning 3D saliency for content-aware data analysis

2017 ◽  
Vol 79 (13-14) ◽  
pp. 9649-9649 ◽  
Author(s):  
Qiang Lu ◽  
Gang Tao ◽  
Yanxiang Chen
Keyword(s):  
Data Analysis ◽  
Image Retargeting ◽  
Retracted Article ◽  
Self Learning ◽  
Content Aware

scholarly journals Pembelajaran Mandri Berbasis Video 3GP

2018 ◽  
Vol 16 (2) ◽  
pp. 135-148
Author(s):  
Barnawi Barnawi
Keyword(s):  
Data Analysis ◽  
Learning Model ◽  
Research Field ◽  
Video Data ◽  
Effective Learning ◽  
Model Based ◽  
Research Population ◽  
The Subject ◽  
Simulation Learning ◽  
Self Learning

Abstract: Potency of the high absorption obtained if learning in effective. Effective learning occurs when students are placed as individual active and direct contact with the subject matter. This research aims to reduce the limitations of the tool (a computer or laptop) and maximizing existing facilities (hand phone) with the aim of achieving effective learning that puts students as subjects of learning. This study is a research field for conducting comparative academic performance of two models of learning. The first learning model is simulation learning and the second model is self-learning via mobile facility. Self-learning materials in this research is the material in the form of video 3GP and transferred to the student’s mobile. The research population is 85 students and a sample taken by 70 students. The data in this study is the performance of students from simulation learning model and self- learning model based 3GP video. Data analysis using inferential statistical, namely the t-test. Data analysis was performed after the fulfillment of the requirements for normality of data. The results of hypothesis testing obtained the results as following: The value t count bigger than t table (5.957> 2.025). Thus Ha is received and Ho is rejected (significance below or equal to 0.05 so Ha is received). Means that there are significant differences between simulation learning model and self-learning model based 3GP video. Keywords: Learning Media, 3GP Video.

KM Approach for Improving the Labor Productivity of Vietnamese Enterprise

2013 ◽  
pp. 206-219 ◽  
Author(s):  
Quoc Trung Pham ◽  
Yoshinori Hara
Keyword(s):  
Knowledge Management ◽  
Data Analysis ◽  
Labor Productivity ◽  
Employee Satisfaction ◽  
Knowledge Society ◽  
New Model ◽  
Learning Skill ◽  
Knowledge Capability ◽  
Technology Capability ◽  
Self Learning

In knowledge society, knowledge management (KM) is considered the best strategy for improving the labor productivity of an enterprise. However, the effectiveness of KM on labor productivity is not known exactly, especially since it depends on the development level of a country. To find a solution based on KM approach for improving the labor productivity of Vietnamese enterprise, a new model is proposed, which includes knowledge capability, technology capability, KM, employee satisfaction, and labor productivity. By analyzing data from Vietnamese enterprises, the model is tested and suggestions for improving the labor productivity of Vietnamese enterprises are made. Some results of data analysis are: employee satisfaction positively affects the labor productivity and that KM has a strong effect on employee satisfaction. Further, some suggestions for improving the labor productivity of Vietnamese enterprises are: organizing frequent meetings for shortening cultural gap between managers and employees, replacing old machines combined with improving employees’ self learning skill, improving innovation capability by creating an open culture for encouraging employees to voice their opinions.

Content-Aware Image Retargeting Based on Semantic Analysis

2014 ◽  
Vol 577 ◽  
pp. 777-781 ◽  
Author(s):  
Hao Cheng ◽  
Wei Li ◽  
Pei Min Zhong
Keyword(s):  
Object Recognition ◽  
Energy Loss ◽  
Energy Function ◽  
Semantic Analysis ◽  
Triangular Mesh ◽  
Image Retargeting ◽  
Complex Scene ◽  
Important Object ◽  
Least Energy ◽  
Content Aware

This paper presents a retargeting approach based on semantic analysis. Our approach has better performance in images that have comlicated backgroud or multi-objects. Our aim is to protect important object in retargeting process. So we brought in object recognition and image importance calculation for retargeting. This approach consists of three parts: object recognition, the importance of image calculation and image retargeting. (i) Firstly we optimized semantic texton forest (STF)[11]and got much better results of object recognition.(ii) Secondly we presented a method called dynamically adjust importance image calculation. (iii) Thirdly we give a retargeting method based on triangular mesh. According to importance image we cover Delaunay triangular mesh on image and solve optimization mesh transforming based on energy function which subjects to least energy loss and boundary restraint. Compared with previous approaches, our method has better result in some complex scene images.

Content-aware compression using saliency-driven image retargeting

2013 ◽  
Author(s):  
Fabio Zund ◽  
Yael Pritch ◽  
Alexander Sorkine-Hornung ◽  
Stefan Mangold ◽  
Thomas Gross
Keyword(s):  
Image Retargeting ◽  
Content Aware

scholarly journals Content-Aware Image Retargeting Incorporated with Letterboxing

2017 ◽  
Vol E100.D (4) ◽  
pp. 865-873
Author(s):  
Kazu MISHIBA ◽  
Yuji OYAMADA ◽  
Katsuya KONDO
Keyword(s):  
Image Retargeting ◽  
Content Aware

Content-Aware Image Retargeting

2016 ◽  
pp. 115-131
Author(s):  
Rajarshi Pal ◽  
Prasun Chandra Tripathi
Keyword(s):  
Image Retargeting ◽  
Related Research ◽  
Is Evaluation ◽  
Screen Space ◽  
Small Screen ◽  
Content Aware

Displaying a large image in a small screen of a handheld gadget is a challenging task. Simple down-scaling of the image may reduce some objects too small to be perceptible. This gives rise to content-aware retargeting of the image. Important contents are allotted more screen space as compared to relatively less important contents of the image. Various types of content-aware image retargeting approaches have been proposed in a span of just over a decade. Another challenging area is to estimate importance of importance of the contents. Lot of researches has been carried out in this direction too to identify the important contents in the context of image retargeting. Equally important aspect is evaluation of these retargeting methods. This article contains a brief survey of related research in all of these aspects.

KM Approach for Improving the Labor Productivity of Vietnamese Enterprise

2011 ◽  
Vol 7 (3) ◽  
pp. 27-42 ◽  
Author(s):  
Quoc Trung Pham ◽  
Yoshinori Hara
Keyword(s):  
Data Analysis ◽  
Labor Productivity ◽  
Employee Satisfaction ◽  
Knowledge Society ◽  
Innovation Capability ◽  
Development Level ◽  
Learning Skill ◽  
Knowledge Capability ◽  
Technology Capability ◽  
Self Learning

In knowledge society, knowledge management (KM) is considered the best strategy for improving the labor productivity of an enterprise. However, the effectiveness of KM on labor productivity is not known exactly, especially since it depends on the development level of a country. To find a solution based on KM approach for improving the labor productivity of Vietnamese enterprise, a new model is proposed, which includes knowledge capability, technology capability, KM, employee satisfaction, and labor productivity. By analyzing data from Vietnamese enterprises, the model is tested and suggestions for improving the labor productivity of Vietnamese enterprises are made. Some results of data analysis are: employee satisfaction positively affects the labor productivity and that KM has a strong effect on employee satisfaction. Further, some suggestions for improving the labor productivity of Vietnamese enterprises are: organizing frequent meetings for shortening cultural gap between managers and employees, replacing old machines combined with improving employees’ self learning skill, improving innovation capability by creating an open culture for encouraging employees to voice their opinions.

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