• 방송공학회논문지
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• 제2권2호
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• pp.125-135
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• 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.

• 방송공학회논문지
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• 제19권5호
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• pp.713-725
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• 2014

차세대 영상 기술의 하나로 다양한 분야에서 주목받고 있는 고품질 다시점 및 3차원 콘텐츠들에 대한 비디오 부호화 기술의 연구 및 표준화가 활발히 진행되고 있다. 다시점 및 3차원 비디오 기술은 복수의 시점을 이용하여 사용자에게 실감나는 영상을 제공할 수 있다. 하지만, 많은 시점을 획득 및 전송하는 것은 한계가 있으므로, 소수의 시점을 이용하여 다양한 시점을 제공하는 연구가 주를 이룬다. 이러한 연구에는 전송 시점을 줄이는 대신 깊이 정보를 전송하여 전송된 시점으로부터 더욱 정확히 임의 시점을 생성하는 기술과 시점간 정보 중복성을 제거하기 위한 부호화 기술이 있다. 최근 국제 표준화 기구인 JCT-3V(Joint Collaborative Team on 3D Video Coding Extension Development)에서는 다시점 및 3차원 비디오 영상을 효율적으로 부호화할 수 있는 기술에 대하여 표준화가 진행되고 있다. 본 논문은 현재 JCT-3V에서 HEVC(High Efficiency Video Coding) 기반으로 표준화가 진행 중인 3D-HEVC 부호화 기술에 대해 살펴보고 그 부호화 및 복잡도 성능을 분석하였다. 이러한 성능 분석은 향후 부호화 성능 향상을 위한 알고리즘 개발 및 고속 부호화기 개발을 위한 부호화 툴의 선별 및 조정에 유용할 것으로 판단된다.

• 방송공학회논문지
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• 제27권4호
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• pp.499-510
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• 2022

본 논문에서는 영상 편집이 익숙하지 않은 시니어 동영상 크리에이터를 위한 동영상 편집 시스템을 설명한다. 영상분석 기술을 이용하여 편집소스 동영상을 분석하여 각종 정보를 제공하고, 자동으로 일부 장면을 삭제한다. 사용자가 다수의 소스 콘텐츠를 입력하였을 때, RNN(Recurrent Neural Network) 기술을 기반으로 샷 단위로 분할하고, 이 중 동영상 편집에서 배제할 부분을 구분한다. 각 샷 별로 중요도를 계산하여 샷 단위로 자동 삭제가 가능하도록 한다. 중요도 계산을 위해서 동영상 초점 정보를 추출하여 활용하는데, 이는 초점이 맞지 않는 영상 또는 흔들린 영상을 배제할 수 있도록 한다. 이후 시스템은 객체 인식을 수행하고, 얼굴이 나온 영상에 대해서 감정, 나이, 성별 등의 정보를 추출하여 사용자에게 제공한다. 사용자는 이런 정보를 활용하여 동영상을 제작한다. 동영상에 자막을 삽입하는 등 동영상을 꾸미기 위한 기능들도 포함되어 있으며, 이런 기능들을 활용할 시, 사용자의 과거 정보를 이용해서 선호 디자인을 쉽게 찾을 수 있도록 앞서 배치하고 있다. 시니어 동영상 크리에이터들이 본 시스템을 통해서 쉽고 빠르게 동영상 콘텐츠를 제작할 수 있다.

• 대한산업공학회지
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• 제23권1호
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• pp.23-37
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• 1997

In this paper, performance analysis of video traffic shaper for Motion Picture Experts Group (MPEG) video traffic in on ATM network are investigated. Traffic shaping for MPEG video traffic is proposed as a traffic control function in ATM networks. The proposed shaper smoothes video traffics by controling the output rate of the buffer, which is placed in an MPEG source, according to I,B,P frame sequences of MPEG. In performance analysis of an video traffic shaper, a periodic botch arrival model is suggested to describe cell streams in a frame of MPEG video traffic. The queueing model which has periodic independent botch arrival and periodic deterministic service time is used to obtain the cell loss ratio, the mean cell delay, and the measure of smoothing effect. Simulation results are used to validate this queueing model. The cell loss performance of ATM multiplexer is measured by simulation study with real MPEG-1 data. From the viewpoint of traffic load, the cell loss ratio is observed to be considerably high, which is considered to result from the burstiness of MPEG video traffic. As a result, it is shown that the shaping decreases cell loss ratio of multiplexer. The results of this paper can be employed to establish a basic guideline in the implementation of a traffic control scheme and the design of ATM multiplexer for MPEG video traffic.

• 한국통신학회논문지
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• 제32권9C호
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• pp.834-839
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• 2007

The superimposed text in video brings important semantic clues into content analysis. In this paper, we present the new and fast superimposed text localization method in video segments. We detect the superimposed text by using temporal information contained in the video. To detect the superimposed text fast, we have minimized the candidate region of localizing superimposed texts by using the difference between consecutive frames. Experimental results are presented to demonstrate the good performance of the new superimposed text localization algorithm.

• Journal of Information Technology Applications and Management
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• 제13권3호
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• pp.75-87
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• 2006

In this paper. we consider the multi-view video technology. The technology, which is a field of 3-Dimensional video processing, enables the user to watch the various view-point of video. We expect that the technology will be applicable to a lot of video services. The economic effects of new technology are very important concern for the technology developer and the technology development policy makers. We, therefore. propose a general method for the economic repercussion effects of the multi-view video technology. The method is based on the expert opinion and input-output analysis. The results for the multi-view video technology are included.

• Journal of Computing Science and Engineering
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• 제11권1호
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• pp.24-31
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• 2017

Face-based video retrieval has become an active and important branch of intelligent video analysis. Face profiling and matching is a fundamental step and is crucial to the effectiveness of video retrieval. Although many algorithms have been developed for processing static face images, their effectiveness in face-based video retrieval is still unknown, simply because videos have different resolutions, faces vary in scale, and different lighting conditions and angles are used. In this paper, we combined content-based and semantic-based image analysis techniques, and systematically evaluated four mainstream local features to represent face images in the video retrieval task: Harris operators, SIFT and SURF descriptors, and eigenfaces. Results of ten independent runs of 10-fold cross-validation on datasets consisting of TED (Technology Entertainment Design) talk videos showed the effectiveness of our approach, where the SIFT descriptors achieved an average F-score of 0.725 in video retrieval and thus were the most effective, while the SURF descriptors were computed in 0.3 seconds per image on average and were the most efficient in most cases.

• Nuclear Engineering and Technology
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• 제54권4호
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• pp.1153-1160
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• 2022

The application of video processing techniques are useful for the safety of nuclear power plants by tracking the people online on video to estimate the dose received by staff during work in nuclear plants. Nuclear reactors remotely visually controlled to evaluate the plant's condition using video processing techniques. Internal reactor components should be frequently inspected but in current scenario however involves human technicians, who review inspection videos and identify the costly, time-consuming and subjective cracks on metallic surfaces of underwater components. In case, if any frame of the inspection video degraded/corrupted/missed due to noise or any other factor, then it may cause serious safety issue. The problem of missing/degraded/corrupted video frame estimation is a challenging problem till date. In this paper a systematic literature review on video processing techniques is carried out, to perform their suitability analysis for NPP applications. The limitation of existing approaches are also identified along with a roadmap to overcome these limitations.

• 대한가정학회지
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• 제39권4호
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• pp.35-47
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• 2001

The purposes of this article were to examine teacher's guidance over video utility and to investigate problems for video use in the classroom. Two-hundred-ninety-four teachers in half-day and all-day early childhood programs participated in this study. Descriptive analysis and chi-square tests were used. Results resealed that teacher's guidance before, during, and after video viewing was not carried out enough for the effectiveness of video teaming. The major problem for using a video in early childhood programs was insufficient video materials. These data were interpreted with respect to teachers'training practices and government policy.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 춘계종합학술대회 A
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• pp.306-309
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• 2008

A system realization for video surveillance with interframe probability distribution analysis is presented in this paper. The system design is based on a high performance DSP processor, video surveillance is implemented by analyzing interframe probability distribution for scanning objects in a restricted area and the video analysis algorithm is decided for forming a different image from the probability distribution of several frames compressed by the standardized JPEG. The algorithm processing time of D1($720{\times}480$) image per frame is 85ms.