A novel video data-source authentication model based on digital watermarking and MAC in multicast

2006 ◽  
Vol 11 (5) ◽  
pp. 1257-1261
Author(s):  
Zhao Anjun ◽  
Lu Xiangli ◽  
Guo Lei
Keyword(s):  
Digital Watermarking ◽  
Video Data ◽  
Source Authentication ◽  
Model Based ◽  
Data Source

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.

A Panoramic Video Monitoring System Using Low-Altitude UAV Based on Fish-Eye Lens

2013 ◽  
Vol 341-342 ◽  
pp. 1128-1132
Author(s):  
Zi Ming Xiong ◽  
Ke Li ◽  
Yang Ding ◽  
Gang Wan ◽  
Jin Min Liao
Keyword(s):  
Monitoring System ◽  
Distortion Correction ◽  
Video Data ◽  
Video Monitoring ◽  
Monitoring Method ◽  
Time Dynamic ◽  
Panoramic Video ◽  
Data Source ◽  
Low Altitude ◽  
Fish Eye

This paper uses the panoramic video data obtained by the UAV as data source, constructs low-altitude Panoramic Video Monitoring System based on eye-fish lens, and provides a new monitoring method which is real-time, dynamic, continuous, extensive and measurable by making a breakthrough in some key technologies, such as, distortion correction of eye-fish, geo-location based on panoramic video and projection transformation.

PACS model based on digital watermarking and its core algorithms

2009 ◽  
Author(s):  
Dashun Que ◽  
Xianlin Wen ◽  
Bi Chen
Keyword(s):  
Digital Watermarking ◽  
Model Based

Smart VideoText: a video data model based on conceptual graphs

2002 ◽  
Vol 8 (4) ◽  
pp. 328-338 ◽  
Author(s):  
F. Kokkoras ◽  
H. Jiang ◽  
I. Vlahavas ◽  
A.K. Elmagarmid ◽  
E.N. Houstis ◽  
...  
Keyword(s):  
Data Model ◽  
Video Data ◽  
Conceptual Graphs ◽  
Model Based

scholarly journals Mining Ground Surface Information Extraction and Topographic Analysis Using UAV Video Data

2020 ◽  
Vol 194 ◽  
pp. 05030
Author(s):  
Yin Yaqiu ◽  
Jiang Cunhao ◽  
Lv Jing ◽  
Wang Jie ◽  
Ju Xing ◽  
...  
Keyword(s):  
Land Surface ◽  
Image Data ◽  
Video Data ◽  
Shanxi Province ◽  
Ground Control ◽  
Surface Model ◽  
Control Points ◽  
Topographic Analysis ◽  
Ground Control Points ◽  
Data Source

Taking the Xiangwang bauxite mining of Xiaoyi City, Shanxi Province as the research object, the DJi “Wu”inspire2 model Unmanned aerial vehicle (UAV) was used to obtain the video data, image data and Ground control points (GCP) data of a typical pit in the study area. Based on the two kinds of data source (video data and image data), the Digital surface model (DSM) of the research area was acquired with or without ground control points through aerial triangulation and block adjustment. Using the DSM obtained by the two data source, the distribution of elevation, slope, slope direction, surface fluctuation and surface roughness was extracted and compared. Research shows that the DSM, acquired by the ContextCapture software without GCP, using video data obtained by aerial shooting around one interest point, can qualitatively reflect the topographic distribution of the land surface. The DSM got by the video data with the GCP can achieve the similar accuracy with the result obtained by image data, and the topographic information acquired by the two kinds of data source has highly similar characteristics in spatial and numerical distribution. It can be concluded through comparison and analysis of the topographical factors that steep slopes with complex topography and large elevation difference distributes in the northwest-central of the pit, of which northwest and southwest slopes can be easily eroded by wind and rain, so attention should be paid to slop stability monitoring and disaster prevention in this area. As a whole, the results show that video data obtained by UAV can not only reflect the dynamic changes of the land surface qualitatively, but also can describe the distribution of surface topography quantitatively through processing to get the DSM. It has great application potential in the field of disaster emergency monitoring and geological hazard risk assessment in mining areas.

scholarly journals Model-Based Methodology for Validation of Traffic Flow Detectors by Minimizing Human Bias in Video Data Processing

2015 ◽  
Vol 16 (4) ◽  
pp. 1851-1860 ◽  
Author(s):  
Pushkin Kachroo ◽  
Neveen Shlayan ◽  
Alexander Paz ◽  
Shankar Sastry ◽  
Shital K. Patel
Keyword(s):  
Data Processing ◽  
Traffic Flow ◽  
Video Data ◽  
Model Based
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