• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.315-317
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• 1998

많은 양의 비디오 데이터가 디지털화 되면서 사용자가 쉽게 자신이 원하는 비디오 데이터를 검색할 수 있는 내용 기반 검색이 필요하게 되었다. 내용 기반 검색을 위해서는 비디오 데이터를 연속된 카메라 모션으로 구성된 셧으로 나누고, 셧의 내용을 대표 할 수 있는 대표 프레임을 찾아야 한다. 대표 프레임은 비디오 데이터의 요약과 색인의 중요한 수단이다. 본 논문에서는 셧의 내용 기반으로 대표 프레임을 찾기 위해서 프레임에 존재하는 영역 정보를 바탕으로 셧의 내용을 알 수 있는 핵심 정보인 카메라 모션을 검출 하고, 이를 기반으로 대표 프레임을 선택하는 방법을 제안한다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.11
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• pp.3333-3340
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• 2000

Recently, Requnremeni for video data have been increased rapidly by high progress of both hardware and cornpression technique. Because digital video data are unformed and mass capacity, it needs various retrieval techniquesjust as contednt-based rehieval Superimposed-caption ina digital video can help us to analyze the video story easier and be used as indexing information for many retrieval techniques In this research we propose a new method that segments the caption as analyzing texture eature of caption regions in each video frame, and that extracts the accurate scope of superimposed-caption frame and its key regions and color by measunng cominuity of caption regions between frames

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06a
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• pp.143-146
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• 1998

본 논문에서는 MPEG-2 압축영상에서 뉴스 색인을 위한 개선된 장면(Shot)전환 알고리즘을 제안한다. 제안된 검출 알고리즘은 압축된 비디오 시퀀스에서 추출한 특징정보인 에지정보와 컬러정보를 함께 사용하여 GOP단위의 빠르고 효율적인 장면전환 검출 결과를 얻을 수 있다. 제안된 알고리즘은 장면전환 검출뿐만 아니라 내용 기반(content - based) 비디오 검색 등에도 효과적으로 이용될 수 있다.

• The KIPS Transactions:PartB
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• v.14B no.2
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• pp.89-98
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• 2007

For browsing, searching, and manipulating video documents, an indexing technique to describe video contents is required. Until now, the indexing process is mostly carried out by specialists who manually assign a few keywords to the video contents and thereby this work becomes an expensive and time consuming task. Therefore, automatic classification of video content is necessary. We propose a fully automatic and computationally efficient method for analysis and summarization of spots news video for 5 spots news video such as soccer, golf, baseball, basketball and volleyball. First of all, spots news videos are classified as anchor-person Shots, and the other shots are classified as news reports shots. Shot classification is based on image preprocessing and color features of the anchor-person shots. We then use the dominant color of the field and motion features for analysis of sports shots, Finally, sports shots are classified into five genre type. We achieved an overall average classification accuracy of 75% on sports news videos with 241 scenes. Therefore, the proposed method can be further used to search news video for individual sports news and sports highlights.

• Journal of Korean Library and Information Science Society
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• v.38 no.4
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• pp.463-480
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• 2007

This study examines the design and utilization of video storyboard surrogates in the digital video libraries. To do this, first we constructed the arrangement model of key-frames for storyboard based on the FRBR model, image communication and PRECIS Indexing theories and evaluated the model using 6 sample videos and 26 participants. The study results show that the video storyboard surrogates based on the arrangement model has a higher accuracy value in terms of summary extraction than that of the sequential video storyboard. Moreover, watching both types of video storyboard one after another, especially browsing the sequential video storyboard first and then the arrangement model-based one, produces a remarkable increase in accuracy value of summary extraction. The study proposes two methods of utilizing the video storyboard surrogates in the digital video libraries: Designing a video browsing interface where users can use the sequential storyboard as a default and then the arrangement model-based one for re-watching; and utilizing the arrangement model-based storyboard as structured match sources of image-based queries.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.286-289
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• 2001

뉴스 비디오에서 앵커가 등장하는 첫 번째 프레임은 하나의 뉴스를 샷으로 설정하는데 기준이 되는 키 프레임이라고 볼 수 있다. 본 논문에서는 뉴스 비디오의 장면 전환을 검출을 위하여 컬러 히스토그램과 $\chi$$^2$ 히스토그램을 합성한 방법을 이용하여 키 프레임을 추출하며, 추출된 키 프레임을 대상으로 앵커 프레임의 공간적 구성과 얼굴의 특징 정보에 대한 사전 지식을 바탕으로 한 유사성 측정을 통하여 앵커를 인식하도록 한다. 앵커로 인식된 프레임은 하나의 뉴스 신에 대한 키 프레임이 되며 뉴스 비디오를 색인화 하는데 중요한 역할을 수행한다.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1540-1549
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• 2004

In this paper, we propose an algorithm to detect semantic events in golf video using Hidden Markov Model. The purpose of this paper is to identify and classify the golf events to facilitate highlight-based video indexing and summarization. In this paper we first define 4 semantic events, and then design HMM model with states made up of each event. We also use 10 multiple visual features based on MPEG-7 visual descriptors to acquire parameters of HMM for each event. Experimental results showed that the proposed algorithm provided reasonable detection performance for identifying a variety of golf events.

• Smart Media Journal
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• v.1 no.3
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• pp.43-47
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• 2012

The recent proliferation of multimedia data necessitates the effectively and efficiently retrieving of multimedia data. These research not only focus on the retrieving methods of text matching but also on using the multimedia data features. Therefore, this paper is a similarity measurement method of trajectory using indexing information of moving object in video, for similarity measurement. This method consists of 2 steps. Firstly, Video data is processed indexing for trajectory extraction of moving objects using CCTV. Finally, we describe to compare DTW(Dynamic Time Warping) to TSR(Tansent Space Representation) algorithm.

• Journal of Korea Multimedia Society
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• v.10 no.5
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• pp.559-568
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• 2007

Anchor-person scene detection is of significance for video shot semantic parsing and indexing clues extraction in content-based news video indexing and retrieval system. This paper proposes an efficient algorithm extracting anchor ranges that exist in sports news video for unit structuring of sports news. To detect anchor person scenes, first, anchor person candidate scene is decided by DCT coefficients and motion vector information in the MPEG4 compressed video. Then, from the candidate anchor scenes, image processing method is utilized to classify the news video into anchor-person scenes and non-anchor(sports) scenes. The proposed scheme achieves a mean precision and recall of 98% in the anchor-person scenes detection experiment.

• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.74-83
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• 2000

There is a rapid increase in the use of digital video information in recent years. Especially, user requires the environment which retrieves video from passive access to active access, to be more efficiently. we need to implement video retrieval system including video parsing, clustering, and browsing to satisfy user's requirement. In this paper, we first divide video sequence to shots which are primary unit for automatic indexing, using a hybrid method with mixing histogram method and pixel-based method. After the shot boundaries are detected, corresponding key frames can be extracted. Key frames are very important portion because they help to understand overall contents of video. In this paper, we first analyze camera operation in video and then select different number of key frames depend on shot complexity. At last, we compose panorama images from shots which are containing panning or tilting in order to provide more useful and understandable browsing environment to users.