• Proceedings of the Korean Society of Computer Information Conference
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• 한국컴퓨터정보학회 2024년도 제69차 동계학술대회논문집 32권1호
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• pp.433-434
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• 2024

본 논문에서는 잠을 자는 침실의 수면 환경 데이터를 수집하고, 얻은 조건 데이터들과 수면 사이의 관계를 분석한다. 또한 잠을 자는 사람의 영상에서 장면 전환을 검출하여 육체의 상황과 수면과의 반응 및 신체감각과 자극들을 제시하고자 한다.

• Proceedings of the IEEK Conference
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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• pp.7-10
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• 2000

There are many Problems such as low detection ratio, velocity and increase of false hit ratio on the detection of gradual scene changes with the previous shot transition detection algorithms. In this paper, we Propose an improved dissolve detection method using color information on low-frequency subband and edge elements on high-frequency subband. The Possible dissolve transition are found by analyzing the edge change ratio in the high-frequency subband with edge elements of each direction. Using the double chromatic difference on the lowest frequency subband, we have the improvement of the dissolve detection ratio. The simulation results show that the performance of the proposed algorithm is better than the conventional one for dissolve detection on a diverse set of uncompressed video sequences.

• Journal of KIISE:Software and Applications
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• 제27권8호
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• pp.864-876
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• 2000

This paper proposes a new scene boundary detection scheme for the MPEG System stream using MPEG Audio information and proves its usefulness by extensive experiments. A scene boundary has a characteristic that the audio as well as video information are changed rapidly. This paper first classifies this scene boundary into three cases ; Radical, Gradual, Micro Changes, with respect to the audio changes. The Radical change has a large-scale changing of decibel value and pitch value at a scene boundary, the Gradual change shows the long-time transition of decibel and pitch values from max to min or vice versa, and the Micro change displays a some change of pitch or frequency distribution without decibel changes. Upon this analysis, a new scene change detection algorithm detecting these three cases is proposed in which a progressive window with a time line is used to trace the changes in the audio information. Some experiments with various movies show that proposed algorithm could produce a high detection ratio for Radical change that is the most popular scene change in the movies, while producing a moderate detection ratio for Gradual and Micro changes. The proposed scene boundary detection scheme could be used to build a database for visual information like MPEG System stream.

• Proceedings of the IEEK Conference
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• 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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• pp.207-210
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• 2000

본 논문에서는 신호를 해석하는데 유용한 웨이블렛 변환을 적용하여 장면전환 요소 중 cut과 fade를 검출하는 알고리즘을 제안한다. 제안된 방법은 웨이블렛 저대역 부밴드로부터 각 프레임의 히스토그램을 구한 후 이전 프레임과 현재 프레임사이의 히스토그램 차를 구하여 이 값이 임계값 이상이면 급격한 장면전환(abrut shot transition)인 cut으로 분류한다. 다음으로 페이드인(fade in)이나 페이드 아웃(fade out)등 컷의 지점이 불분명한 점진적 장면전환(gradual scene transition)을 검출하기 위하여 고대역 부밴드에서 추출한 에지성분에 모멘트를 계산하여 인접한 프레임 사이의 변동율을 분석하여 값이 증가하면 페이드 인을 검출하고 반면에 감소하면 페이드 아웃을 검출하게된다. 성능평가를 위하여 실제의 비디오 분할에 적용한 결과 웨이블렛 적용 방법론이 매우 높은 Precision을 갖는다는 것을 알 수 있으며 윤곽정보에 모멘트 정보를 더함으로써 기존의 방법보다 정확한 페이드(fade) 구간을 검출할 수 있었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제23권9A호
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• pp.2289-2304
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• 1998

For the performance analysis and traffic control of ATM networks carrying video sequences, need an appropriate video traffic model. In this paper, we propose a new traffic model for MPEG compressed videos which are widely used for any type of video applications at th emoment. The proposed modeling scheme uses scene-based traffic characteristics and considers the correlation between frames of consecutiv GOPs. Using a simple scene detection algorithm, scene changes are modeled by state transitions and the number of GOPs of a scene state is modeled by a geometric distirbution. Frames of a scene stte are modeled by mean I, P, and B frame size. For more accurate traffic modeling, quantization errors (residual bits) that the state transition model using mean values has are compensated by autoregressive processes. We show that our model very well captures the traffic chracteristics of the original videos by performance analysis in terms of autocorrelation, histogram of frame bits genrated by the model, and cell loss rate in the ATM multiplexer with limited buffers. Our model is able to perrorm translations between levels (i.e., GOP, frame, and cell levels) and to estimate very accurately the stochastic characteristics of the original videos by each level.

• Journal of Broadcast Engineering
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• 제26권5호
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• pp.543-552
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• 2021

The story is formed by the flow of the development and resolution of the conflict between the characters. Namely, the story consists of conflict setting, development, and resolution. Character region is an important expression technique to describe the emotions or states of characters and the relationship between characters and the environment. The purpose of this paper is to propose a method for detecting the transition of conflict from the graph of character region's change. To this end, we present a method of generating a change graph of a character region in a movie by calculating the character region and a method of detecting a conflict transition scene from a graph of character region's change. To verify the performance of the proposed method, an experiment was conducted to extract conflict transition scenes for 7 movies, and performance evaluation results of 73.57% accuracy and 77.26% recall were obtained. This proves that it is possible to extract conflict transition scenes based on the character region.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제29권10C호
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• pp.1414-1424
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• 2004

In this paper, an algorithm using wavelet transform for detecting a cut that is a radical scene transition point, and fade and dissolve that are gradual scene transition points is proposed. The conventional methods using wavelet transform for this purpose is using features in both spatial and frequency domain. But in the proposed algorithm, the color space of an input image is converted to YUV and then luminance component Y is transformed in frequency domain using 2-level lifting. Then, the histogram of only low frequency subband that may contain some spatial domain features is compared with the previous one. Edges obtained from other higher bands can be divided into global, semi-global and local regions and the histogram of each edge region is compared. The experimental results show the performance improvement of about 17% in recall and 18% in precision and also show a good performance in fade and dissolve detection.

• Journal of Broadcast Engineering
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• 제13권4호
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• pp.544-553
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• 2008

With the development of video editing technology, there are growing uses of overlay text inserted into video contents to provide viewers with better visual understanding. Since the content of the scene or the editor's intention can be well represented by using inserted text, it is useful for video information retrieval and indexing. Most of the previous approaches are based on low-level features, such as edge, color, and texture information. However, existing methods experience difficulties in handling texts with various contrasts or inserted in a complex background. In this paper, we propose a novel framework to localize the overlay text in a video scene. Based on our observation that there exist transient colors between inserted text and its adjacent background a transition map is generated. Then candidate regions are extracted by using the transition map and overlay text is finally determined based on the density of state in each candidate. The proposed method is robust to color, size, position, style, and contrast of overlay text. It is also language free. Text region update between frames is also exploited to reduce the processing time. Experiments are performed on diverse videos to confirm the efficiency of the proposed method.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제29권11C호
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• pp.1518-1526
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• 2004

In this paper, an algorithm using wavelet transform for detecting a cut that is a radical scene transition point, and fade and dissolve that are gradual scene transition points is proposed. The conventional methods using wavelet transform for this purpose is using features in both spatial and frequency domain. But in the proposed algorithm, the color space of an input image is converted to YUV and then luminance component Y is transformed in frequency domain using 2-level lifting. Then, the histogram of only low frequency subband that may contain some spatial domain features is compared with the previous one. Edges obtained from other higher bands can be divided into global, semi-global and local regions and the histogram of each edge region is compared. The experimental results show the performance improvement of about 17% in recall and 18% in precision and also show a good performance in fade and dissolve detection.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2007년도 춘계학술발표대회
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• pp.381-382
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• 2007

대분분의 장면전환 검출방법은 복호화에 의한 연산량이 많고, 동영상의 매 프레임을 비교함으로 시간이 많이 소요되는 순차검색 방법이다. 이러한 문제를 해결하기 위해 압축 영역에서 시간적으로 표본화 하는 비 순차검색 방법들을 제안하였다. 비 순차검색방법은 동영상을 표본화 하는 검객간격이 중요한데 본 논문에서는 전체 동영상의 비교회수를 최소화하는 최적화된 검색간격을 구하고, 구한 검색간격을 사용하여 비 순차검색알고리즘을 제안한다. 제안한 알고리즘의 성능을 분석하기 위해 기존의 방법과 비교하여 성능의 우수성을 실험을 통해 분석하였다.