• The Transactions of the Korea Information Processing Society
• /
• v.6 no.6
• /
• pp.1703-1712
• /
• 1999

In the paper, we propose efficient article and scene change detection algorithms to make the index of sports news compressed in MPEG-2 domain. In the proposed algorithm, the information in MPEG-2 compressed domain is directly used without decoding to save the computation time. The scene change detection algorithm is constructed in an hierarchical method so that the time for detection can be greatly reduced. Also, the algorithm can provide the robust detection against abrupt illuminance change because the luminance and chrominance components are simultaneously considered. Also, the scene change caused by special effect such as dissolve and wipe can be detected in the compressed domain. In the article detection, the algorithm is constructed for robust detection of the anchor frame using the concept of CCV(Color Coherent Vector).

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2013.01a
• /
• pp.81-83
• /
• 2013

절도란 경제적 이익을 꾀하려는 목적으로 타인 소유의 재물을 그의 허락 없이 가져가 본인이나 제삼자의 것으로 만드는 것을 말한다. 현재 엘리베이터 내에서 자주 발생하는 범죄 중의 하나가 바로 절도이다. 본 논문에서는 절도 범죄를 장면 전환 검출 방법인 컬러 히스토그램을 이용하여 추출한다. 추출된 키 프레임들은 범죄의 주요 장면들이다. 여기서 추출된 영상은 법원에 절도죄의 중요한 증거자료로 제출된다.

• Proceedings of the Korea Institute of Convergence Signal Processing
• /
• 2001.06a
• /
• pp.265-268
• /
• 2001

In content-based video data retrieval, the representative-frame is usually used. To do that, the skill of detection for scene change is needed. Generally the color histogram comparison is used, but sensitive to light variation and tends to miss the scene change of similar color histogram. This paper shows how to use both color histogram comparison and entropy to prevent the false-positive of scene change occurred by light variation. At the experiments, il is more powerful to light variation to use both color histogram comparison entropy than to use only color histogram comparison.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2013.01a
• /
• pp.95-97
• /
• 2013

현재 엘리베이터 내에서는 수많은 범죄들이 발생하고 있으며, 그 대담성 또한 날로 증가하고 있다. 본 논문에서는 불법한 유형력의 행사인 폭행과 이러한 폭행에 동반되는 물리적인 행사인 폭력에 대하여 의미를 알아본다. 그리고 엘리베이터 내에서 발생하는 폭행과 폭력을 추출하는 방법을 제시하도록 한다. 장면 전환 검출 방법 중의 하나인 컬러히스토그램 기법을 사용하여 키프레임을 추출한다. 추출된 키 프레임들은 영상 포렌식에서 범죄 현장을 담은 장면의 증거자료인 프레임이 된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.425-426
• /
• 2022

Many CCTVs are installed around the area for the purpose of preventing crime. In this case, it is necessary to sound an alarm when a specific situation occurs because many people cannot be watching CCTV. It is necessary to analyze the video data to determine what kind of behavior it is. In this study, we propose a scene change detection technique through histogram operation, paying attention to the change of the histogram due to a sudden movement.

• Proceedings of the Korean Information Science Society Conference
• /
• 2012.06b
• /
• pp.408-410
• /
• 2012

기존의 비디오 검색 방법들은 관련 주석이나 영상 정보에 기반하며 사용자의 반응과 관련하여서는 많은 정보를 활용하고 있지 않다. 비디오 시청시 사용자의 뇌신호나 시선추적 정보 등의 인지적 반응을 이용하여 연속적인 비디오 스트림의 각 부분에 대하여 사용자들이 나타내는 관심이나 감성 정보를 추출한다면 보다 인터랙티브한 비디오 데이터 검색 및 추천이 가능하다. 본 논문에서는 비디오를 시청하는 사용자의 안구전도(electrooculogram)를 기록한 후, 장면 전환이 발생한 부분에서의 사건관련전위 분석을 통해 해당 부분에서 나타나는 특징적 반응을 찾고 이에 대한 인지적 해석을 도출했다. 실험 결과 장면 전환 이후200~700ms 부분에서 P300 성분과 유사한 피크가 발생하는 것을 확인하였으며, 이러한 결과는 장면 전환에 따른 피험자의 비디오 내용 인지에 대한 의도 불일치 및 주의력 증가로 해석된다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.24 no.8B
• /
• pp.1577-1585
• /
• 1999

In this paper, we propose detection methods for gradual scene changes such as dissolve, pan, and zoom. The proposal method to detect a dissolve region uses scene features based on spatial statistics of the image. The spatial statistics to define shot boundaries are derived from squared means within each local area. We also propose a method of the camera motion detection using four representative motion vectors in the background. Representative motion vectors are derived from macroblock motion vectors which are directly extracted from MPEG streams. To reduce the implementation time, we use DC sequences rather than fully decoded MPEG video. In addition, to detect the gradual scene change region precisely, we use all types of the MPEG frames(I, P, B frame). Simulation results show that the proposed detection methods perform better than existing methods.

• Journal of Broadcast Engineering
• /
• v.2 no.1
• /
• pp.56-64
• /
• 1997

An HDTV frame has 4~6 times more pixels than a DTV frame. In order to encode the HDTV image in real time, parallel processing architectures have been widely used in many HDTV codec developments. That is, an HDTV Image is divided into several subbands and each subband is encoded in parallel using some DTV level encoders. In this paper, we adopt an HDTV codec architecture which divides an HDTV frame into 4 subbands and propose a new scene change detection algorithm using local variance. In addition, a new adaptive multichannel rate control scheme which allocate target bits adaptively to each subband of the HDTV image based on the activities of subband images is suggested in this paper. The activities of subband images are calculated at scene change detection part and reused at the adaptive rate control part. The simulation results show that the proposed scene change detection algorithm detects the scene change of HDTV video very accurately. Also the suggested adaptive multichannel rate control scheme shows better performance than the rate control method which allocates target bits equally to each subbands of the HDTV image.

• The KIPS Transactions:PartB
• /
• v.11B no.3
• /
• pp.353-360
• /
• 2004

The study on scene change detection in the compressed MPEG videos has been done by various approaches. However, most of these approacher accomplished scene change detection by carrying out decoding processes and then by comparing pixels with pixels. This approach it not suitable for real time applications owing to much computing time of decoding processes. Recently, the study on scene change detection algorithms using only information of compressed domain is becoming Increasingly important. In this paper, we propose a sequential access method as an efficient scene change detection algorithm in the compressed domain. According to the type of pictures in the compressed MPEG video streams (divided in I-blocks and each I-block into P-blocks), the proposed algorithm provides effective scene change detection by applying sequential access and block by block mechanism. The proposed sequential access method provides fast and accurate detection operation by reducing checking procedures of unnecessary pictures due to molt of operations in compressed domain and checking by block units. Also, this approach uses optimal algorithm to provide fast and accurate detection operation.

• Journal of Broadcast Engineering
• /
• v.26 no.5
• /
• pp.543-552
• /
• 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.