• Journal of the Korea Society of Computer and Information
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• v.4 no.3
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• pp.28-34
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• 1999

In this paper. we propose the method of Scene Change Detection for video sequence using the DC components and the moving vectors in the Macro Blocks in the DCT blocks. The proposed method detects the Scene Change which would not be related with the specific sequences in the compressed MPEG domain. To do this. we define new metrics for Scene Change Detection using the features of picture component and detect the exact Scene Change point of B-pictures using the characteristics of B-picture's sharp response for the moving vectors. In brief, we will detect the cut point using I-picture and the gradual scene changes such as dissolve, fade, wipe, etc. As a results, our proposed method shows good test results for the various MPEG sequences.

• 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 KIISE:Computing Practices and Letters
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• v.11 no.2
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• pp.124-132
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• 2005

We propose a method using a transformation of an object and a scene tree in order to author MPEG-4 contents for mobile devices in this paper. The method transforms media objects in the scene into geometry objects in order to reduce initial loading time of the contents, and reduces an external form of each object in a scene of the content for presenting it efficiently on the small interface of mobile devices. Therefore, the contents for mobile devices are reconstructed by the method. An original object in the scene is presented on a mobile device when a user clicks a related geometry object. The method was applied to a conventional authoring tool, so we could find that the method showed an efficient presentation of MPEG-4 contents on mobile devices.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.148-152
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• 2006

가상공간의 시각적 렌더링에 있어서 카메라의 위치와 방향에 따라서 현재 보여지고 있는 장면의 복잡도가 달라지게 된다. 단순한 장면과 복잡한 장면이 혼합되어있는 경우에 렌더링의 프레임율이 크게 달라지게 되어서 사용자의 가상공간의 항해에 대한 카메라 이동 시에 끊김 현상이 느껴지게 된다. 본 논문에서는 장면이 복잡도에 크게 의존되지 않으면서 지속적으로 안정된 프레임율을 보장할 수 있는 기여도 컬링 기법을 제시한다. 컬링 기술은 복잡한 장면의 빠른 렌더링을 위해 필수적으로 사용되어왔다. 자연스럽고 빠른 렌더링을 위해 본 논문에서는 이미지 공간에서 모든 객체에 대한 바운딩 사각형의 넓이를 빠르게 계산한다. 영상 영역에서의 계산된 넓이가 작은 객체들을 프레임율을 만족시키도록 렌더링 파이프라인에서 제외시킨다. 전체적으로 기여도가 높은 객체들은 최대한 포함시키기 때문에 렌더링의 질을 보장한다. 복잡한 환경에서의 기여도가 작은 많은 객체들을 배제시킴으로써 속도를 향상시킨다. 실제 대도시의 일정 영역에 제안한 기법을 적용하여 본 결과, 복잡한 장면들이 질적인 저하 없이 균일하고 빠른 렌더링을 보장한다는 것을 보여주었다.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.534-542
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• 1999

A sell-designed rate control strategy can improve overall picture quality for video transmission over a constant bit rate channel and the rate control method is not a normative part of MPEG-video standard, the performance of MPEG video codec can be quite different depends on how to implement the rate control scheme. The rate control scheme proposed in MPEG show good results when scene changes is not occurred. But it has weakness that it does not properly handle scene-changed pictures. Therefore picture quality after scene change is deteriorated, and possibility of overflow occurrence becomes high. In this paper, a new method for detection of scene change occurrence using local variance and a new determination scheme for adaptive quantization parameter, mqunt, which can consider local characteristic of an image by using previously computed the local variance from the scene change detection part are proposed. IN addition, and adaptive rate control scheme which can handles scene changed picture very efficiently by scene-changed picture is proposed. Computer simulations are performed to verify the performance of the proposed algorithm. The suggested detection algorithm precisely detected scene change. And the proposed rate control scheme shows better rate control performance as compared with that of the conventional MPEG scheme.

• (The) Research of the performance art and culture
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• no.33
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• pp.97-128
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• 2016

According to the findings of the study, the music composition of the mask play is deeply related to the main characteristics of the scene. The first scene of the play starts with the Byeoksa dance. This particular dance part represents the evil spirit expel ritual. The instrumental accompaniment like and are played for the dance. The last part of the play starts with the Halmi and Yeonggam scene. This scene is played in both the instrumental and vocal music. For the instrumental part , for the vocal part and songs are played. and songs are played on the part of the Halmi's funeral ceremony scene. The instrumental and are played in various scenes for the accompaniment of the dance part. The musical structure of the mask play is flexible. This kind of flexibility of scene structure mainly concerned with the way of musical composition. The main structure of the mask play can be classified into two main styles according to the allocation of the vocal music. In first style, the vocal music is evenly dispersed. In second style, the vocal parts are concentrated in the rear section. As I mentioned earlier, no logical association is found in the matter of the scene arrangement. A scene arrangement has a deep connection with the arrangement of the music in each scene. In conclusion, the mixed arrangement of the scene in mask play is mainly concerned with the matter of the music arrangement in order to maintain the tension of the drama.

• Journal of Korea Multimedia Society
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• v.7 no.7
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• pp.877-885
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• 2004

In this paper, we propose an enhancement shot change detection method using the neural net and the robust feature selection out of multiple features. The previous shot change detection methods usually used single feature and fixed threshold between consecutive frames. However, contents such as color, shape, background, and texture change simultaneously at shot change points in a video sequence. Therefore, in this paper, we detect the shot changes effectively using robust features, which are supplementary each other, rather than using single feature. In this paper, we use the typical CART (classification and regression tree) of data mining method to select the robust features, and the backpropagation neural net to determine the threshold of the each selected features. And to evaluation the performance of the robust feature selection, we compare the proposed method to the PCA(principal component analysis) method of the typical feature selection. According to the experimental result. it was revealed that the performance of our method had better that than the PCA method.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.6
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• pp.778-786
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• 2002

Scene boundary detection is important in the understanding of semantic structure from video data. However, it is more difficult than shot change detection because scene boundary detection needs to understand semantics in video data well. In this paper, we propose a new approach to scene segmentation using contextual information in video data. The contextual information is divided into two categories: local and global contextual information. The local contextual information refers to the foreground regions' information, background and shot activity. The global contextual information refers to the video shot's environment or its relationship with other video shots. Coherence, interaction and the tempo of video shots are computed as global contextual information. Using the proposed contextual information, we detect scene boundaries. Our proposed approach consists of three consecutive steps: linking, verification, and adjusting. We experimented the proposed approach using TV dramas and movies. The detection accuracy of correct scene boundaries is over than 80%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.5C
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• pp.514-522
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• 2003

Contrary to the previous methods, in this paper, we propose an enhanced shot change detection method using multiple features and binary decision tree. The previous methods usually used single feature and fixed threshold between consecutive frames. However, contents such as color, shape, background, and texture change simultaneously at shot change points in a video sequence. Therefore, in this paper, we detect the shot changes effectively using multiple features, which are supplementary each other, rather than using single feature. In order to classify the shot changes, we use binary classification tree. According to this classification result, we extract important features among the multiple features and obtain threshold value for each feature. We also perform the cross-validation and droop-case to verify the performance of our method. From an experimental result, it was revealed that the EI of our method performed average of 2% better than that of the conventional shot change detection methods.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.727-743
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• 2003

This paper proposes an automatic highlight building algorithm for soccer video by using the structural characteristics of broadcasted sports video that an interesting (or important) event (such as goal or foul) in sports video has a continuous replay shot surrounded by gradual shot change effect like wipe. This shot editing rule is used in this paper to analyze the structure of broadcated soccer video and extracts shot involving the important events to build a highlight. It first uses the spatial-temporal image of video to detect wipe transition effects and zoom out/in shot changes. They are used to detect the replay shot. However, using spatial-temporal image alone to detect the wipe transition effect requires too much computational resources and need to change algorithm if the wipe pattern is changed. For solving these problems, a two-pass detection algorithm and a pixel sub-sampling technique are proposed in this paper. Furthermore, to detect the zoom out/in shot change and replay shots more precisely, the green-area-ratio and the motion energy are also computed in the proposed scheme. Finally, highlight shots composed of event and player shot are extracted by using these pre-detected replay shot and zoom out/in shot change point. Proposed algorithm will be useful for web services or broadcasting services requiring abstracted soccer video.