• 제어로봇시스템학회:학술대회논문집
• /
• 1997.10a
• /
• pp.11-16
• /
• 1997

This paper describes the grenade counting system developed for DPICM submunition analysis using the infrared video streams, and its some video stream processing technique. The video stream data processing procedure consists of four sequences; Analog infrared video stream recording, video stream capture, video stream pre-processing, and video stream analysis including the grenade counting. Some applications of this algorithms to real bursting test has shown the possibility of automation for submunition counting.

• The Transactions of the Korean Institute of Electrical Engineers P
• /
• v.66 no.3
• /
• pp.135-138
• /
• 2017

This study analyzed with the case analysis of a series of processes from job analysis survey and results analysis, and academic achievement in order to transform the curriculum of existing courses of the NCS-based video broadcasting. Also this study analysed the existing curriculum and analyzed the trend of workforce trends and needs of the broadcasting content industry. Also through a needs analysis for the industry and alumni and students, video graphics, video editing and video directing were selected. In this paper it dealt mainly with respect to the video graphics in a dual job. Modeling capability into the unit through a job analysis, animation, effects and lighting were chosen accordingly based introduction of graphics and application of graphics were derived two courses and selected profiles and performance criteria. This training according to the NCS curriculum for students was evaluated based on the student's job was to investigate the learning ability.

• International Journal of Internet, Broadcasting and Communication
• /
• v.10 no.3
• /
• pp.128-135
• /
• 2018

The various video recording device, like car black box and cctv, are used currently and video contents are used as evidence of traffic accidents and scenes of crime. To verify integrity of video content, there are various study on manipulated video content analysis. Among these studies, a study based on analysis of video file structure and its variables needs a tool which can be used to analyze file structure and extract interested attributes. In this paper, we proposed design and implementation of an analyzing tool which visualizes video file structure and its attributes. The proposed tool use a model which reflects commonality of various video container format, so it is available to analyze video structure with regardless of the video file types. And the tool specifies interested file structure properties in XML and therefore we can change target properties easily without modification of the tool.

• Archives of design research
• /
• v.17 no.3
• /
• pp.373-382
• /
• 2004

Video protocol analysis is a popular and effective technique in many research disciplines including industrial design and HCI for understanding the interactions between people, and between people and machines. Analysing and transcribing video recordings is, however, notoriously time consuming, and a variety of single-user computer based tools have been developed to ease the task. This paper examines collaborative video analysis. The motivation for groupware tools for video analysis is described, and the desirable features of such tools are identified. The following section reviews related work on video analysis and on single-user video analysis tools. The review is used to derive a set of design goals for collaborative video analysis tools. We then detail prototype's user interface, its collaborative facilities, and its implementation. The preliminary evaluation is described prior the conclusions which identify directions for further work.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.14 no.1
• /
• pp.169-177
• /
• 2014

It is essential to support the image and video analysis technology such as motion detection since the DVR and NVR storage were adopted in the real time visual surveillance system. Especially the network camera would be popular as a video input device. The traditional CCTV that supports analog video data get be replaced by the network camera. In this paper, we present the design and implementation of video surveillance system that provides the real time motion detection by the video storage server. The mobile application also has been implemented in order to provides the retrieval functionality of image analysis results. We develop the video analysis server with open source library OpenCV and implement the daemon process for video input processing and real-time image analysis in our video surveillance system.

• Journal of the Korean Home Economics Association
• /
• v.38 no.10
• /
• pp.69-83
• /
• 2000

A survey analysis of children's home video usage was carried out for 659 parents who have four to six year old children. Descriptive analysis and chi-square tests were used to answer research questions. The results showed that 90% children enjoyed watching video and parental mediation of children's video programming selection and coviewing was differed by children's age and birth order. Children's preferences for video programming were also differed by their sex, age, and birth order. For example, male children enjoyed violent video programming most, on the other hand, female children enjoyed non-violent video programming most. Furthermore, children's imitation behavior after watching video programming were differed an sex and age. For example, male children imitated video programming more than female children did. Implications are discussed.

• Journal of Electrical Engineering and Technology
• /
• v.7 no.1
• /
• pp.115-123
• /
• 2012

A video analysis system used to detect events in video streams generally has several processes, including object detection, object trajectories analysis, and recognition of the trajectories by comparison with an a priori trained model. However, these processes do not work well in a complex environment that has many occlusions, mirror effects, and/or shadow effects. We propose a new approach to a context-aware video surveillance system to detect predefined contexts in video streams. The proposed system consists of two modules: a feature extractor and a context recognizer. The feature extractor calculates the moving energy that represents the amount of moving objects in a video stream and the stationary energy that represents the amount of still objects in a video stream. We represent situations and events as motion changes and stationary energy in video streams. The context recognizer determines whether predefined contexts are included in video streams using the extracted moving and stationary energies from a feature extractor. To train each context model and recognize predefined contexts in video streams, we propose and use a new ensemble classifier based on the AdaBoost algorithm, DAdaBoost, which is one of the most famous ensemble classifier algorithms. Our proposed approach is expected to be a robust method in more complex environments that have a mirror effect and/or a shadow effect.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.2
• /
• pp.89-96
• /
• 2016

This study analyzed with the case analysis of a series of processes from job analysis survey. And results analysis, and academic achievement in order to transform the curriculum of existing courses into the curriculum of NCS-based courses. Also this study analysed of the existing curriculum. Also analyzed the trend of workforce trends and needs of the broadcasting content industry. Through a needs analysis for the industry and alumni and students, video graphics, video editing and video directing were selected. In this paper, it dealt mainly with respect to the video graphics in a dual job. Modeling capability into the unit through a job analysis, animation, effects and lighting were chosen accordingly based introduction of 3D Graphics. Application of 3D Graphics were derived two courses and selected profiles and performance criteria. This training according to the NCS curriculum for students was evaluated based on the student's job was to investigate the learning ability. Academic achievement were the result satisfaction.

• Proceedings of the Korea Database Society Conference
• /
• 1997.10a
• /
• pp.24-48
• /
• 1997

. Supported byㆍDARPA′s image Understanding (IU) program under "Video Retrieval Based on Language and image Analysis" project.DARPA′s Computer Assisted Education and Training Initiative program (CAETI)ㆍObjective: Develop practical systems for automatic understanding and indexing of video sequences using both audio and video tracks(omitted)

• Journal of Broadcast Engineering
• /
• v.2 no.2
• /
• pp.125-135
• /
• 1997

This paper is concerned with realistic mainpulation of content in video sequences. Manipulation of content in video sequences is one of the content-based functionalities for MPEG-4 Visual standard. We present an approach to synthesizing video sequences by using the intermediate outputs of three-dimensional (3D) motion and depth analysis. For concreteness, we focus on video showing 3D motion of an observer relative to a scene containing planar runways (or roads). We first present a simple runway (or road) model. Then, we describe a method of identifying the runway (or road) boundary in the image using the Point of Heading Direction (PHD) which is defined as the image of, the ray along which a camera moves. The 3D motion of the camera is obtained from one of the existing 3D analysis methods. Then, a video sequence containing a runway is manipulated by (i) coloring the scene part above a vanishing line, say blue, to show sky, (ii) filling in the occluded scene parts, and (iii) overlaying the identified runway edges and placing yellow disks in them, simulating lights. Experimental results for a real video sequence are presented.