Design of ATA Interface Hard Disk Memory Card Used in Video Image Data

2014 ◽  
Author(s):  
Li Jie ◽  
Sun Xiangyang ◽  
Li Mingjing ◽  
Yu Da ◽  
Liu Jinguo
Keyword(s):  
Image Data ◽  
Hard Disk ◽  
Video Image ◽  
Memory Card ◽  
Disk Memory

Design of ATA Interface Hard Disk Memory Card Used in Video Image Data

2015 ◽  
Vol 10 (9) ◽  
pp. 255-262
Author(s):  
Jie Li ◽  
Xiangyang Sun ◽  
Mingjing Li ◽  
Da Yu ◽  
Jinguo Liu
Keyword(s):  
Image Data ◽  
Hard Disk ◽  
Video Image ◽  
Memory Card ◽  
Disk Memory

Image Data Hard Disk High-Speed Storage Technology of Visible/Infrared Dual-Band Aerial Remote Sensing Camera

2013 ◽  
Vol 28 (6) ◽  
pp. 895-900
Author(s):  
韩松伟 HAN Song-wei ◽  
孙丽娜 SUN Li-na ◽  
孟中 MENG Zhong ◽  
毛大鹏 MAO Da-peng ◽  
张建华 ZHANG Jian-hua
Keyword(s):  
Remote Sensing ◽  
High Speed ◽  
Image Data ◽  
Hard Disk ◽  
Dual Band ◽  
Storage Technology ◽  
Aerial Remote Sensing

scholarly journals Composition, Analysis and Display of Video Image Data of Boring Core and Borehole

1982 ◽  
Vol 1982 (7) ◽  
pp. 67-80
Author(s):  
Kunio MORI ◽  
Shinji MASUMOTO ◽  
Kiyoshi WADATSUMI
Keyword(s):  
Image Data ◽  
Video Image ◽  
Composition Analysis

Video Image Segmentation Using Gaussian Mixture Models Based on the Differential Evolution-Based Parameter Estimation

2011 ◽  
Vol 474-476 ◽  
pp. 442-447
Author(s):  
Zhi Gao Zeng ◽  
Li Xin Ding ◽  
Sheng Qiu Yi ◽  
San You Zeng ◽  
Zi Hua Qiu
Keyword(s):  
Image Segmentation ◽  
Differential Evolution ◽  
Mixture Models ◽  
Clustering Algorithms ◽  
Gaussian Mixture Models ◽  
Expectation Maximization Algorithm ◽  
Image Data ◽  
Gaussian Mixture ◽  
Parameters Estimation ◽  
Video Image

In order to improve the accuracy of the image segmentation in video surveillance sequences and to overcome the limits of the traditional clustering algorithms that can not accurately model the image data sets which Contains noise data, the paper presents an automatic and accurate video image segmentation algorithm, according to the spatial properties, which uses the Gaussian mixture models to segment the image. But the expectation-maximization algorithm is very sensitive to initial values, and easy to fall into local optimums, so the paper presents a differential evolution-based parameters estimation for Gaussian mixture models. The experiment result shows that the segmentation accuracy has been improved greatly than by the traditional segmentation algorithms.

The Design and Implementation of Intelligent Community Monitoring System

2012 ◽  
Vol 463-464 ◽  
pp. 1701-1705
Author(s):  
Yu Lan Wang ◽  
Jian Xiong Wang ◽  
Yao Hui Li
Keyword(s):  
Data Storage ◽  
Research Work ◽  
Image Data ◽  
Moving Object ◽  
Video Image ◽  
Security Monitoring ◽  
Community Monitoring ◽  
Database Compression ◽  
Intelligent Community ◽  
Intelligent Security

This paper designs a stable, efficient and intelligent video surveillance system, which is based on the review and analysis of the domestic and internation. And it is related research work on the basis of the intelligent security monitoring. The system is used by the Web server and database server model, and it can detect the moving object in scene of monitor. Firstly this paper analyzes the structure of server system, it uses B/S, database, ActiveX technology and is completed finally. Secondly this paper realizes the video image data in bulk storage, read, update and maintenance by using the database. The bmp format will be converted to JPG format effectively to realize the image database compression. It is valued to the video image data storage and management. Finally, the accuracy and response time can be improved in moving object detection, which is based on background subtraction method

scholarly journals APPLICATION OF VIDEO IMAGES FOR MONITORING COASTAL ZONE IN HASAKI BEACH, JAPAN

2012 ◽  
Vol 1 (33) ◽  
pp. 43
Author(s):  
Muhammad Zikra ◽  
Noriaki Hashimoto ◽  
Masaru Yamashiro ◽  
Masaki Yokota ◽  
Kojiro Suzuki
Keyword(s):  
Shallow Water ◽  
Coastal Zone ◽  
Image Data ◽  
Field Measurements ◽  
Video Camera ◽  
Video Image ◽  
Wave Spectra ◽  
Digital Video Camera ◽  
Directional Wave ◽  
Pixel Brightness

The video image analysis methods are used for monitoring the phenomena at the coastal zone. A digital video camera which is mounted in the HORS research building is used to estimate directional wave spectra and bathymetry in shallow water areas. The Bayesian Directional Method is used to estimate directional wave spectra using the group of pixels brightness and non-linear bathymetry inversion is used to estimate shallow water bathymetry using time series of pixel brightness intensity at cross-shore and longshore array. The results are compared with a numerical model and field measurements. The results indicate that video image data could be used to estimate bathymetry and directional wave spectra in shallow water areas.

Hepatic Ultrasonic Tissue Characterization of Video Image Data

1990 ◽  
Vol 25 (10) ◽  
pp. 1091-1094 ◽  
Author(s):  
KIMBERLY L. KADER ◽  
SYLVIA HUBBARD ◽  
BARBARA A. CARROLL
Keyword(s):  
Tissue Characterization ◽  
Image Data ◽  
Video Image

scholarly journals A Model of Gap Choice Behavior at an Urban Expressway Merging Section, Based on Video Image Data

2010 ◽  
Vol 27 (0) ◽  
pp. 551-559
Author(s):  
Masami YANAGIHARA ◽  
Nobuhiro UNO ◽  
Yasuhiro SHIOMI ◽  
Fumitaka KURAUCHI
Keyword(s):  
Choice Behavior ◽  
Image Data ◽  
Video Image ◽  
Urban Expressway

Analysis of Directional Wave Spectra in Shallow Water Areas Using Video Image Data

2012 ◽  
Vol 54 (3) ◽  
pp. 1250020-1-1250020-24 ◽  
Author(s):  
Muhammad Zikra ◽  
Noriaki Hashimoto ◽  
Masaru Yamashiro ◽  
Masaki Yokota ◽  
Kojiro Suzuki
Keyword(s):  
Shallow Water ◽  
Image Data ◽  
Video Image ◽  
Wave Spectra ◽  
Directional Wave
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