• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1519-1522
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• 2002

In this paper, we propose a new adaptive dissolve detection method based on the analysis of a dissolve modeling error that is the difference between an ideally modeled dissolve curve without any correlation and an actual variance curve with a correlation. The dissolve modeling error is determined based on a correlation between two scenes and variances for each scene. First, Candidate regions are extracted by using the characteristics of a parabola that is downward convex, then the candidate region will be verified based on a dissolve modeling error. If a dissolve modeling error on a candidate region is less than a threshold that is defined by a dissolve modeling error with a target correlation, the candidate region should be a dissolve region with a correlation less than the target correlation. The threshold is adaptively determined based on the variances between the candidate regions and the target correlation. By considering the correlation between neighbor scenes, the proposed method is able to be a semantic scene-change detector. The proposed algorithm was tested on various types of data and its performance proved to be more accurate and reliable when compared with other commonly used methods

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.249-252
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• 2000

본 논문에서는 MPEG으로 압축된 영상에 대해서 급격한 장면 변화에 의한 shot 경계(cut)와 점진적 장면 변화에 의한 shot 경계(dissolve)를 검출하여 비디오 shot을 분할하는 기법을 제안한다. 기존의 방법으로 잘 검출하지 못하였던 점진적 장면 변화에 의한 shot의 경계를 검출하기 위한 기법을 제안한다. 먼저 압축영역의 기법 중 DCT DC 값을 비교하는 방법을 이용하여 cut에 의한 shot 경계를 검출한다 그리고 움직임 벡터(MV)의 비를 비교하는 방법을 사용하여 dissolve에 의한 shot 경계의 후보지들을 얻어내고, 선택된 후보지들 중 n번째와 n＋2번째 후보지 영상으로 dissolve 영상을 만들어 n＋1번째 후보지의 영상과 유사도를 비교하여 dissolve를 검출한다. 이와 같이 압축영역에서 cut에 의한 shot 경계와 dissolve에 의한 shot 경계의 후보지를 검출해 내고, 검출된 shot 경계 후보지들에서 dissolve에 의한 shot 경계를 검출하는 방법을 함으로서 MPEG 비디오 영상의 복원량을 최소화하여 수행 속도를 높이면서도 cut과 dissolve 두 가지 모두를 효과적으로 검출할 수 있었다.

• Journal of KIISE:Information Networking
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• v.30 no.4
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• pp.504-512
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• 2003

In this paper, we propose a new adaptive dissolve detection method based on the analysis of a dissolve modeling error which is the difference between an ideally modeled dissolve curve with no correlation and an actual dissolve curve including a correlation. The proposed dissolve detection method consists of two steps. First, candidate dissolve regions are extracted using the characteristics of a downward convex parabola, then each candidate region is verified based oil the dissolve modeling error. If the dissolve modeling error for a candidate region is less than a threshold defined by the target modeling error with a target correlation, the candidate region is determined as a resolve region with a lower correlation than the target correlation. The threshold is adaptively determined based on the variances between the candidate regions and the target correlation. By considering the correlation between neighbor scenes, the proposed method is able to be a semantic scene-change detector. The proposed method was tested on various types of data and its performance proved to be more accurate and reliable regardless of variation of variance of test sequences when compared with other commonly use methods.

• Proceedings of the IEEK Conference
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• 2000.06d
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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 the Korea Organic Resources Recycling Association
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• v.29 no.3
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• pp.5-16
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• 2021

In this study, the applicability of the MBR(Membrane Bio Reactor) process of oxygen dissolve was evaluated through comparison and evaluation of the efficiency of oxygen dissolve device and conventional aeration device in the explosive tank within the MBR process. The organic matter and ammonia oxidation by oxygen dissolve device were evaluated, and the efficiency of persaturation was evaluated by applying real waste water (anaerobic digester effluent treatement from food waste). SCOD and ammonia removal rates for oxygen dissolve device and conventional aeration device methods were similar. However, it was determined that the excess sludge treatment cost could be reduced as the yield of microorganisms by oxygen dissolve device is about 0.03 g MLSS-produced/g SCOD-removed lower than that of microorganisms by conventional aeration device. The removal rates of high concentrations of organic matter (4,000 mg/L) and ammonia (1,400 mg/L) in anaerobic digester effluent treatment from food waste were compared to the conventional aeration device and the oxygen dissolve device organic matter removal rate was approximately 13% higher than that of the conventional aeration device. In addition, for MLSS, the conventional aeration device was 0.3 times higher than for oxygen dissolve device. This is believed to be due to the high progress of sludge autooxidation because the dissolved oxygen is sufficiently maintained and supplied in the explosive tank for oxygen dissolve device. Therefore, it was determined that the use of oxygen dissolve device will be more economical than conventional aeration device as a way to treat wastewater containing high concentrations of organic matter.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.1
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• pp.18-25
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• 2003

In this Paper, we propose a dissolve detection method based on video editing model. Our method consists of two steps In the first step, the candidate regions are found by using the first md second derivative of a variance curve. In a variance curve, a dissolve presents a parabola that is downward convex. Therefore the parabola is found as a candidate region for a dissolve. In the second step, the candidate region is verified for a dissolve region. In each candidate region, a variance at a valley of the parabola corresponding to dissolve is estimated and then the candidate region is verified by using estimated valley's variance. The valley's variance is determined by neighbor scene variances, so proposed method is adaptive to detect dissolve with various variances. Experiment results on video of various content types are reported and validated.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06b
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• pp.57-60
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• 1999

이 논문에서는 비디오 장면 전환 효과 중 디졸브(dissolve)에 의한 장면 전환 구간을 검출 하는 알고리즘을 제안한다. 제안된 알고리즘은 압축 영상으로부터 최소한의 복원 과정을 거쳐 얻은 DC 영상의 비트플레인 특성을 이용하여 디졸브 구간을 검출한다. 실험을 통하여 제안된 기법이 효과적으로 디졸브 구간을 검출하는 것을 확인하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.8B
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• pp.1567-1576
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• 1999

In this paper, we propose new methods to detect a scene cut and a dissolve region in compressed MPEG video sequences. The scene cut detection method uses edge images obtained using DCT AC coefficients and the dissolve detection method utilizes the macroblock type information of the MPEG stream. The proposed scene cut detection method is insensitive to brightness and can detect scene changes more precisely than the methods using DC coefficients since AC edge images can express original images more exactly than DC edge images do. The proposed dissolve detection method using the number of intra macroblocks(MBs) computationally efficient since it does not require the decoding process. Experimental results show that the proposed methods perform better in detection scene changes than conventional other methods.

• Journal of the Institute of Convergence Signal Processing
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• v.4 no.3
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• pp.34-40
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• 2003

The paper presents a method to detect dissolve shots of video scene change detections in an MPEG compressed domain. The proposed algorithm uses color-R DCT coefficients of Ⅰ, P-frames for a fast operation and accurate detection and a minimum decoding process in MPEG sequences. The paper presents a method to detect dissolve shot for three-dimensional visualization and analysis of Image in order to recognize easily in computer as a human detects accurately shots of scene change. First, Color-R DCT coefficients for 8*8 units are obtained and the features are summed in a row. Second, Four-step analysis are Performed for differences of the sum in the frame sequences. The experimental results showed that the algorithm has better detection performance, such as precision and recall rate, than the existing method using an average for all DC image by performing four step analysis. The algorithm has the advantage of speed, simplicity and accuracy. In addition. it requires less amount of storage.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.551-554
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• 2003

본 논문에서는 MPEG 압축 비디오에서 매크로 블록 타입 정보를 이용하여 효과적인 점진적 장면전환 검출을 위한 알고리즘을 제안한다. MPEG 압축 영역에서 디졸브(Dissolve) 구간내의 B 프레임들의 매크로 블록 타입의 변화를 이용하여 디졸브 장면전환 구간을 빠르고 정확하게 검출 할 수 있는 알고리즘을 제안한다. 제안한 알고리즘은 실험 결과를 통해 성능을 분석하였다.