• Journal of Broadcast Engineering
• /
• v.7 no.2
• /
• pp.107-113
• /
• 2002

In this paper, we propose a method and a software system for automatic summarization of baseball game videos. The proposed system pursues fast execution and high accuracy of summarization. To satisfy the requirement, the detection of important events in baseball video is performed through DC-based shot boundary detection algorithm and simple caption recognition method. Furthermore, the proposed system supports a hierarchical description so that users can browse and navigate videos in several levels of summarization. In this paper, we propose a method and a software system for automatic summarization of baseball game videos. The proposed system pursues fast execution and high accuracy of summarization. To satisfy the requirement, the detection of important events in baseball video is performed through DC-based shot boundary detection algorithm and simple caption recognition method. Furthermore, the proposed system supports a hierarchical description so that users can browse and navigate videos in several levels of summarization.

• Journal of Korea Multimedia Society
• /
• v.14 no.7
• /
• pp.858-865
• /
• 2011

In order to allow the user to efficiently browse, select, and retrieve a desired video part without having to deal directly with GBytes of compressed data, classification of shot motion characteristic has to be carried out as a preparation for such user interaction. The organization of video information for video database requires segmentation of a video into its constituent shots and their subsequent characterization in terms of content and camera movement in shot. In order to classify shot motion, it is a conventional way to use element of motion vector. However, there is a limit to estimate global camera motion because the way that uses motion vectors only represents local movement. For shot classification in terms of motion information, we propose a new scheme consisting of partial decoding of INTRA pictures and comparing the x, y displacement vector curve between the decoded I-frame and next P-frame in compressed video data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.149-150
• /
• 2012

This paper presents a shot boundary detection method based on the global decision tree that allows for extraction of boundaries of high variations occurring due to camera breaks from frame difference values. For a start, difference values between frames are calculated through local X2-histogram and normalization. Next, the distances between difference values are calculated through normalization.

• Proceedings of the IEEK Conference
• /
• 2000.09a
• /
• pp.725-728
• /
• 2000

본 논문에서는 영상검색 기법에서 핵심인 Shot Change Detection 과 Non Linear Browsing 을 H/W기반으로 구현하여, S/W 적으로는 비실시간으로만 가능하였던 video indexing 을 DTV 에 적용하여 실시간으로 구현하는 방법을 제시한다. 이를 위해 H/W part 는 실시간으로 들어오는 방송용 MPEG-2 bitstream 을 full decoding 이 아닌 최소화된 VLD(Variable Length Decoding) 수준의 parsing 으로 picture 내의 luminance와 chrominance 의 DC 값, macroblock type, motion vector 정보를 얻어내어 각각의 histogram을 계산하여 memory interface를 통해 S/W 측에 넘겨주게 되고 S/W 는 각 상황에 맞게 indexing algorithm 을 변화시키며 최적의 video indexing 방법으로 확장할 수 있도록 하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2019.06a
• /
• pp.29-31
• /
• 2019

샷 경계 검출(Shot Boundary Detection)은 영상 콘텐츠 분석을 위한 필수적인 기술이며, 다양한 방식으로 편집된 영상의 샷 경계를 정확하게 검출하기 위한 연구가 지속되어 왔다. 그러나 기존에 연구들은 고정된 샷 경계 검출 알고리즘이나 매뉴얼한 작업과 같이 학습이 불가능한 과정이 포함되어 있어 성능 개선에 한계가 있었다. 본 논문에서는 이러한 과정을 제거한 End-to-End 모델을 제안한다. 제안하는 모델은 시공간 정보 추출성능을 높이기 위해 행동 인식 데이터셋을 이용한 전이학습을 사용하고, 샷 경계 검출 성능을 높이기 위해 개선된 지식의 증류기법(Knowledge Distillation)을 결합한다. 제안하는 모델은 ClipShots 데이터셋에서 DeepSBD 에 비해 cut transition 과 gradual transition 이 각각 5.4%, 41.29% 높은 성능을 보였고, DSM 과의 비교에서 cut transition 의 정확도가 1.3% 더 높은 결과를 보였다.

• Journal of the Korea Computer Industry Society
• /
• v.8 no.2
• /
• pp.103-106
• /
• 2007

In order to construct a Video Database, shot change detection should be made first. But, because these processes are not automated perfectly, we need a lot of time and efforts now. And, there are many shot change detection algorithms, which can't always insure the perfect result because of the editing effects such as cut, wipe, and dissolves used in film production. Therefore, in order to receive the exact shot change, It needs the verification and correction by manual processing at any cost. Spatiotemporal slice is a simple image condensing method for the content changes of video. The editing effects are expressed on the Spatiotemporal slice in the visually noticed form of vertical line, diagonal line, curved line and gradual color changes, etc. Accordingly the parts doubted as a shot change can be easily detected by the change of the Spatiotemporal slice without replaying the video. The system proposed in this study makes it possible to delete the false detected key frames, and create the undetected key frames on the Spatiotemporal slice.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2019.06a
• /
• pp.9-12
• /
• 2019

지난 수 년 동안 계속해서 일반 실상 카메라를 이용한 영상분석기술에 대한 연구가 활발히 진행되고 있다. 최근에는 딥러닝 기술을 적용한 지능형 영상분석기술로 발전해 왔으며 국방기지방호, CCTV, 사용자 얼굴인식, 머신비전, 자동차, 드론 산업이 활성화되면서 많은 시너지를 효과를 일으키고 있다. 그러나 어두운 밤과 안개, 날씨, 연기 등 다양한 여건에서 따라서 카메라의 영상분석 정확성 감소와 오류가 수반될 수 있으며 일반적으로 딥러닝 기술을 활용하기 위해서는 고사양의 GPU를 필요로 하기 때문에 다른 추가적인 시스템이 요구된다. 이에 본 연구에서는 열적외선 영상의 객체 검출에 적용하기 위해 SSD(Single Shot MultiBox Detector) 기반의 경량적인 MobilNet 네트워크로 재구성하여, 모바일 기기 등 낮은 사양의 낮은 임베디드 시스템에서도 활용 할 수 있는 방법을 제안한다. 모의 실험결과 제안된 방식의 모델은 적외선 열화상 카메라에서 객체검출과 학습시간이 줄어든 것을 확인 할 수 있었다.

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

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.43 no.3 s.309
• /
• pp.17-24
• /
• 2006

In this paper, an algorithm for anchor frame detection in news video is proposed, which consists of four steps. In the first step, the cumulative histogram method is used to detect shot boundaries in order to segment a news video into video shots. In the second step, skin color information is used to detect face regions in each shot boundary. In the third step, color information of upper body regions is used to extract anchor object, which produces candidate anchor frames. Then, from the candidate anchor frames, a graph-theoretic cluster analysis algorithm is utilized to classify the news video into anchor-person frames and non-anchor frames. Experiment results have shown the effectiveness of the proposed algorithm.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.13 no.3
• /
• pp.486-492
• /
• 2010

This paper studies an experimental analysis of the impulse noise of K2 rifle when its bullet passes through the large tube(length 1.84m, outer diameter 50cm, glass wool & steel). In experiment, the characteristics of the sound of shooting were different according to the way of shooting; the results of the experiment are given below. First of all, the shooting sound was lower in single-shot shooting, when compared to 3rds burst-shot shooting, difference averaging 2.8dB, 4.0dB at maximum. In short, the difference is minuscule. Secondly, the sound of the K2 rifle was diminished when shot in a tube, ranging from 2.7dB to 15.4dB, averaging 8.2dB. Thirdly, the shooting sound of the K2 rifle was diminished as the insertion depth deepened with formulas given in Fig. 5, 6. Fourthly, basic data for excluding sound of the shooting were presented. Lastly, the characteristics of the shooting sound could be equally used as a basic material for developing marksmanship and sharp-shooting detection device.