Nac-Woo Kim

Design and implementation of a video surveillance system for a Sensor Network application service

Object movement detection is key component of remote surveillance and monitoring system. In this paper, we designs a reliable moving object detection system for video surveillance which works well in a Ubiquitous Sensor Networks (USN) environment. Our system has been implemented using Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standard, and operated in the android platform of mobile environment. As a result, our system can report on object detection and object counting information to the management server in real-time.

Personally customizable content authoring service for Internet Protocol television subscribers

SUMMARY In this paper, we propose a personally customizable content authoring service (C2Channel) using an Internet Protocol television (IPTV) platform, in which a user terminal such as a PC or set-top box sends various kinds of multimedia files from a camera or camcorder to a remotely located authoring server (C2Channel server). The C2Channel server creates personalized content in real time by combining special effects with the multimedia files transmitted from the user terminal and then retransmits them to a predefined relevant service group as a personal IPTV channel through an IPTV network provider. This content authoring service supplies an automatic multimedia editing/composition service and offers unicast, multicast, and groupcast services for a large number of interested groups via an IPTV-based real-time media delivery platform (Open Live IPTV Engine [OLIVE]), in which a service management server is used for user identification through the IPTV personal channel. Because this platform uses a remote server resource when authoring personally customizable content, resources remaining at the users terminal can be variously utilized. Copyright

RUBA: Real-time unstructured big data analysis framework

We are greeting “Big Data Generation”. As ICT technology is developing, the volume of data is incredibly growing and many works to deal with a big data are underway. In this paper, we proposed a novel framework for real-time unstructured big data analysis, such as a movie, sound, text and image data. Our proposed framework provides functions of a real-time analysis and dynamic modification for unstructured big data analysis. We have implemented the object monitoring system as a test system which is applied our framework, and we have confirmed each functions and the availability of our framework.

H.264-based depth map-sequence coding algorithm using mode mapping for fast 3-D video compression

An H.264-based fast 3-D video compression algorithm is pre- sented by reducing coding complexity of P slices in a depth map sequence using a fast-mode decision scheme. On the basis of the relationship of coding modes of collocated macroblocks on texture and depth frames, an early SKIP-mode decision scheme and a selective prediction-mode decision scheme have been developed to rapidly encode depth map se- quences. Experimental results show that the algorithm can save the entire encoding time by 79% on average compared to conventional a depth map sequence coding algorithm, while introducing only negligible loss in peak signal-to-noise ratio value. C 2011 Society of Photo-Optical Instrumentation Engineers

Hologram acquisition by using time resolved heterodyne method in optical scanning holography

We propose the new hologram acquisition method based on the time resolved heterodyne analysis in optical scanning holography. By applying the FFT or four phase picking algorithm, we obtain complex hologram without reference signal.

Hologram Acquisition by Using Time Resolved Analysis in Optical Scanning Holography

We propose the new hologram acquisition method based on the time resolved analysis in optical scanning holography. By applying the Fourier transform or four phase shifting algorithm, we can obtain complex hologram without reference clocking.

Implementation of embedded Linux platform based vehicle feature extractor for ITS

This paper propose the vision based vehicle feature extractor which can be operated on the low performance embedded linux platform. In addition, we implement an intelligent transportation system applying the OGC SWE framework for integrating with conventional analog CCTV based traffic surveillance system. The proposed method is comprised of the moving vehicle detection, license plate recognition and vehicle color detection stage. The fast operation is possible by limiting the feature extraction area in the each step. The experimental result feature extractor can be effectually integrated with the conventional system. It provides the exact vehicle identification information.

Implementation of WSN application service using people detection algorithm

In this paper, we implements intrusion detection system for video surveillance which works well in wireless sensor networks (WSN) environment. Our system has been implemented using open geospatial consortium standard, and operated in the android platform of mobile environment. We also have been implemented intruder detection by machine learning technique. As a result, our system can achieve real-time and robust people classification in diverse scenes.

Giga internet-based 3DTV trial service

In this paper we propose ‘Giga internet-based 3DTV trial service’ technique and show test results in KOREA. This service supports that many service viewers are able to simultaneously watch the 3D-based educational broadcasting by using overlay multicast-based real-time 3D media delivery platform.

Gigabit network–based three-dimensional trial service on media delivery platform

Recently, as effective demand for high-quality, large-capacity content such as three-dimensional (3D), multiangle, and gigabit-web has increased, a network infrastructure capable of satisfying future broadcast and communication service requirements is required. In this paper, we introduce a convergence service based on a gigabit network and then propose a technique for delivering gigabit 3D content. Here, the term 3D content delivery technique refers to an overlay-multicast-based distributed service platform that is comprised of a media relay agent and a management server. The service platform is designed to back up both live video and file-based video streaming. Using this platform, we can provide 3D remote education and 3D multiangle services via 3D-based video streaming between a service provider and service consumers dispersed at different locations. To evaluate our 3D content delivery technique, we run a series of trials of gigabit network-based 3D trial services to service subscribers. Then, we conduct a survey to measure user satisfaction with the 3D delivery service and simulated network and service quality. From experimental results, we confirm that this type of distributed service platform can be used as the delivery framework for applications such as realistic 3D-based seminars or 3D video conferences.