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

scholarly journals Adaptive inter frame compression using image segmented technique

2019 ◽  
Vol 11 (21) ◽  
pp. 1-11
Author(s):  
Ban Sabah Ismeel
Keyword(s):  
Motion Estimation ◽  
Image Coding ◽  
Image Data ◽  
Video Image ◽  
Edge Information ◽  
Block Truncation Coding ◽  
Video Images ◽  
Image Data Compression ◽  
Inter Frame ◽  
Selection Of

The computer vision branch of the artificial intelligence field is concerned with developing algorithms for analyzing video image content. Extracting edge information, which is the essential process in most pictorial pattern recognition problems. A new method of edge detection technique has been introduces in this research, for detecting boundaries.            Selection of typical lossy techniques for encoding edge video images are also discussed in this research. The concentration is devoted to discuss the Block-Truncation coding technique and Discrete Cosine Transform (DCT) coding technique. In order to reduce the volume of pictorial data which one may need to store or transmit, the research modifies a method for video image data compression based on the two-component code; in this coding technique, the video image is partitioned into regions of slowly varying intensity. The contours separating the regions are coded by DCT, while the rest image regions are coded by Block-Truncation Coding. this hybrid coding technique called segmented image coding (SIC). Also in this paper A modify of the four step search for motion Estimation technique was produce. for searching scheme has been introduced which is contributed in decreasing  the motion estimation  searching time of the successive inter frames.

scholarly journals EVALUATION OF CELERITY AND VELOCITY FOR TSUNAMI PROPAGATION INTO RIVERS

2012 ◽  
Vol 1 (33) ◽  
pp. 12
Author(s):  
Min Roh ◽  
Hitoshi Tanaka ◽  
Mohammad Bagus Aditaywan ◽  
Akira Mano ◽  
Keiko Udo
Keyword(s):  
Flow Velocity ◽  
Image Data ◽  
Conservation Equation ◽  
Video Data ◽  
Video Image ◽  
Physical Parameters ◽  
Tsunami Propagation ◽  
The Pacific ◽  
Real Phenomenon ◽  
Tohoku Tsunami

Tsunami propagation into river is one of important real phenomenon. During this process, tsunami celerity and flow velocity are significant physical parameters to understand tsunami behaviors. However, the availability of observation was not sufficient in the 2011 off the Pacific Coast of Tohoku Tsunami, whereas several video data can be used to assess the physical parameters such as tsunami celerity and flow velocity. In this study, as a video image analysis method, Particle Image Velocimetry(PIV) and Particle Tracking Velocimetry(PTV) were used to estimate the tsunami flow velocity. Furthermore, the analysis result of video image data was verified by using the conservation equation. Tsunami physical parameter was successfully estimated by the comparison analysis.

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