• Journal of the Korean Society for Library and Information Science
• /
• v.49 no.1
• /
• pp.443-464
• /
• 2015

This study examined the feasibility of using EEG signals and ERP P3b for extracting video key-frames based on users' cognitive responses. Twenty participants were used to collect EEG signals. This research found that the average amplitude of right parietal lobe is higher than that of left parietal lobe when relevant images were shown to participants; there is a significant difference between the average amplitudes of both parietal lobes. On the other hand, the average amplitude of left parietal lobe in the case of non-relevant images is lower than that in the case of relevant images. Moreover, there is no significant difference between the average amplitudes of both parietal lobes in the case of non-relevant images. Additionally, the latency of MGFP1 and channel coherence can be also used as criteria to extract key-frames.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.38 no.1
• /
• pp.46-57
• /
• 2001

To access the multimedia data, such as video data with temporal properties, the content-based image retrieval technique is required. Moreover, one of the basic techniques for content-based image retrieval is an extraction of representative key-frames. Not only did we implement this method, but also by analyzing the video data, we have proven the proposed method to be both effective and accurate. In addition, this method is expected to solve the real world problem of building video databases, as it is very useful in building an index.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.6C
• /
• pp.368-375
• /
• 2011

In the distributed video coding system, the parity bits, which are generated in encoders, are used to reconstruct Wyner-Ziv frames. Since the original Wyner-Ziv frames are not known in decoders, the efficient correlation noise modeling for turbo or LDPC code is necessary. In this paper, an efficient correlation noise modeling method is proposed and the performance is analyzed. The method to estimate the quantization parameters for key frames, which are encoded using H.264 intraframe coding technique, is also proposed. The performance of the proposed system is evaluated by extensive computer simulations.

• Electronics and Telecommunications Trends
• /
• v.14 no.3 s.57
• /
• pp.44-53
• /
• 1999

국내 컴퓨터 그래픽스 시장에서 가장 일반적으로 선택되어지는 애니메이션 소프트웨어인 Maya, Soft-Image, 3D Studio Max를 대상으로 그 기능과 편의성을 위주로 비교한다. 애니메이션 작업에 가장 널리 사용되는 키프레임 애니메이션, 변형, 역운동학 및 동역학 애니메이션 기술 등을 애니메이션 소프트웨어 설계의 관점에서 비교한다

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.9
• /
• pp.2063-2072
• /
• 2013

Smart Grid is the next-generation intelligent power grid that maximizes energy efficiency with the convergence of IT technologies and the existing power grid. It enables consumers to check power rates in real time for active power consumption. It also enables suppliers to measure their expected power generation load, which stabilizes the operation of the power system. However, there are high possibility that various kinds of security threats such as data exposure, data theft, and privacy invasion may occur in interactive communication with intelligent devices. Therefore, to establish a secure environment for responding to such security threat with the smart grid, the key management technique, which is the core of the development of a security mechanism, is required. Using a hash chain, this paper suggests a group key management mechanism that is efficiently applicable to the smart grid environment with its hierarchical structure, and analyzes the security and efficiency of the suggested group key management framework.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2001.10a
• /
• pp.817-820
• /
• 2001

비디오 데이터에서 캡션은 비디오의 중요한 부분과 내용을 나타내는 가장 보편적인 방법이다. 본 논문에서는 축구 비디오에서 캡션이 갖는 특징을 분석하고 캡션에 의한 키 프레임을 추출하도록 하며, 하이라이트 생성 규칙에 따라 하이라이트를 생성하도록 한다. 키 프레임 추출은 이벤트 발생에 따른 캡션의 등장과 캡션 내용의 변화를 추출하는 것으로 탬플리트 매칭과 지역적 차영상을 통하여 추출하며 샷을 재설정 하여 중요 이벤트를 포함한 하이라이트를 생성하도록 한다.

• Journal of the Korea Computer Industry Society
• /
• v.3 no.7
• /
• pp.901-914
• /
• 2002

In this paper, We propose an efficient automatic caption detection and location method, caption recognition using FE-MCBP(Feature Extraction based Multichained BackPropagation) neural network for content based retrieval of video. Frames are selected at fixed time interval from video and key frames are selected by gray scale histogram method. for each key frames, segmentation is performed and caption lines are detected using line scan method. lastly each characters are separated. This research improves speed and efficiency by color segmentation using local maximum analysis method before line scanning. Caption detection is a first stage of multimedia database organization and detected captions are used as input of text recognition system. Recognized captions can be searched by content based retrieval method.

• The KIPS Transactions:PartC
• /
• v.10C no.1
• /
• pp.1-10
• /
• 2003

In this paper, we propose a secure communication framework for interaction and information sharing between a server and agents in DS-NVSA(Detection System of Network Vulnerability Scan Attacks) proposed in〔1〕. For the scalability and interoperability with other detection systems, we design the proposed IDMEF and IAP that have been drafted by IDWG. We adapt IDMEF and IAP to the proposed framework and provide SKTLS(Symmetric Key based Transport Layer Security Protocol) for the network environment that cannot afford to support public-key infrastructure. Our framework provides the reusability of heterogeneous intrusion detection systems and enables the scope of intrusion detection to be extended. Also it can be used as a framework for ESM(Enterprise Security Management) system.

• KIPS Transactions on Computer and Communication Systems
• /
• v.7 no.3
• /
• pp.73-80
• /
• 2018

Due to the popularity of smartphones and the simplification of financial services, the number of mobile financial services is increasing. However, the security keypads developed for existing financial services are susceptible to probability analysis attacks and have security vulnerabilities. In this paper, we propose and implement a security keypad based on dual touch. Prior to the proposal, we examined the existing types of security keypads used in the mobile banking and mobile payment systems of Korean mobile financial businesses and analyzed the vulnerabilities. In addition, we compared the security of the proposed dual touch keypad as well as existing keypads using the authentication framework and the existing keypad attack types (Brute Force Attack, Smudge Attack, Key Logging Attack, and Shoulder Surfing Attack, Joseph Bonneau). Based on the results, we can confirm that the proposed security keypad with dual touch presented in this paper shows a high level of security. The security keypad with dual touch can provide more secure financial services, and it can be applied to other mobile services to enhance their security.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.47 no.3
• /
• pp.11-22
• /
• 2010

This paper is a study on implementation of intelligent image surveillance system using context information and supplements temporal-spatial constraint, the weak point in which it is hard to process it in real time. In this paper, we propose scene analysis algorithm which can be processed in real time in various environments at low resolution video(320*240) comprised of 30 frames per second. The proposed algorithm gets rid of background and meaningless frame among continuous frames. And, this paper uses wavelet transform and edge histogram to detect shot boundary. Next, representative key-frame in shot boundary is selected by key-frame selection parameter and edge histogram, mathematical morphology are used to detect only motion region. We define each four basic contexts in accordance with angles of feature points by applying vertical and horizontal ratio for the motion region of detected object. These are standing, laying, seating and walking. Finally, we carry out scene analysis by defining simple context model composed with general context and emergency context through estimating each context's connection status and configure a system in order to check real time processing possibility. The proposed system shows the performance of 92.5% in terms of recognition rate for a video of low resolution and processing speed is 0.74 second in average per frame, so that we can check real time processing is possible.