• 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.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1996.06b
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• pp.77-81
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• 1996

In order to conform to the needs of effective program production in multimedia era, we are studying Desk Top Program Production system. With the DTPP, users can easily produce multimedia program including video, sound, and ancillary data, and freely handle video images synthesizing video components retrieved from video database. This paper describes the new program production system, DTPP and its key technologies such as cooperative program production via multimedia network, indexing and utilization of attribute information of images, and image segmentation and spatio-temporal editing.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06b
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• pp.109-114
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• 1999

동영상을 효율적으로 검색하기 위해서 동영상을 장면 단위로 분할하는 과정이 필요하다 이 논문에서는 동영상에서 장면이 전환되는 지점을 빠르게 검출하는 방법을 제안한다. 먼저 MPEG 압축 영상에 대하여 시간적 표본화를 통하여 추출된 압축 영역의 데이터를 사용하여 장면 전환의 후보 구간들을 정하고, 다음으로 이들 구간 안에서 각 프레임의 화소값을 얻고, 이를 사용하여 정확한 장면 전환 지점을 찾아낸다. 제안된 방법은 빠른 검출 속도와 함께 높은 정확성을 갖는다. 또한 카메라 플래시 때문에 장면 전환으로 잘못 검출되는 것을 방지할 수 있는 방법을 제안한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.223-228
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• 2015

Korean climate becoming increasingly subtropical by climate warming makes local heavy rainfall frequently. To avoid damages from the local heavy rainfall, we need a forecasting service for a great number of clients. However, there is not the framework for the service based on wireless data broadcasting yet. In this paper, we design and implement a service framework for local heavy rainfall forecasting using wireless data broadcast. The developed service framework has scalability that can adopt various data scheduling and indexing schemes. We show the efficiency of the proposed framework to forecast local heavy rainfall through a simulation study.

• Journal of Broadcast Engineering
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• v.12 no.4
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• pp.311-320
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• 2007

In this paper, an efficient detection algorithm of an anchor shot in news video is presented. We observed the audio visual characteristics of news video and proposed several low level features which are appropriate for detecting an anchor shot in news video. The overall structure of the proposed algorithm is composed of 3 stages: the pause detection, the audio cluster classification, and the matching with motion activity stage. We used the audio features as well as the motion feature in order to improve the indexing accuracy and the simulation results show that the performance of the proposed algorithm is quite satisfactory.

• Journal of Broadcast Engineering
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• v.10 no.2
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• pp.202-209
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• 2005

In this paper, we propose a design of the metadata engine of the video recording system to minimize the retrieval time. For this purpose, the proposed metadata engine stores the XML metadata as a separated fragment and construct a hierarchical indexing scheme based on the contextual and structural properties of metadata. The hierarchical indexing scheme is consisted of a node index for basic searching and a group index for advanced searching. In this way our approach can minimize the number of indexes and thus the retrieval time. Our simulation results show that the response time of our proposed system is shorter than that of the previous works.

• Journal of Broadcast Engineering
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• v.5 no.1
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• pp.41-49
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• 2000

In this paper, we propose a new method of indexing and searching based on object-specific features at different semantic levels for video retrieval. A moving trajectory model is used as an indexing key for accessing the individual object in the semantic level. By tracking individual objects with segmented data, we can generate motion trajectories and set model parameters using polynomial curve fitting. The proposed searching scheme supports various types of queries including query by example, query by sketch, and query on weighting parameters for event-based video retrieval. When retrieving the interested video clip, the system returns the best matching event in the similarity order.

• The KIPS Transactions:PartC
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• v.18C no.4
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• pp.255-264
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• 2011

TV-Anytime is an XML-based standard for description of PVR and digital broadcast services. It is referenced by many standards of digital broadcast service for their schemas and delivery protocols of contents guide. Although its readability and extensibility, TV-Anytime has a big problem which generates massive documents due to its text-based description method. Therefore, various encoding algorithms have been proposed to reduce the size of XML documents. This paper proposes efficient metadata encapsulation architecture based on the optimization information generated at server-side to minimize XML documents. Advanced indexing method is also proposed to reduce resources needed to encapsulate indices and to receive metadata with fast and explicit mechanism.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.79-87
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• 2002

The fast advances in digital video processing and multimedia processing technology over the last decade enabled various non-linear video browsing techniques. Based on the machine-understanding of the video content, non-linear video brows ing interfaces such as key-frame based content summarization have been introduced. The key-frame based user interfaces, such as storyboard or table of content, however, are still very hard for conventional TV users to use, and are very hard to implement without the service providers providing additional information for the construction of the key-frame based interfaces. In this paper, non-linear video browsing techniques, which not only overcome previously described drawbacks but also are easy-to-use, and real-time video indexing technology to support the proposed browsing techniques are proposed. The structure-based skipping and skimming help users easily find interesting scene and understand the content in a very short time, using real-time video indexing technology.

• Journal of Broadcast Engineering
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• v.21 no.3
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• pp.307-318
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• 2016

비디오 프레임 내의 오버레이 텍스트는 음성과 시각적 내용에 부가적인 정보를 제공한다. 특히, 뉴스 비디오에서 이 텍스트는 비디오 영상 내용을 압축적이고 직접적인 설명을 한다. 그러므로 뉴스 비디오 색인 시스템을 만드는데 있어서 가장 신뢰할 수 있는 실마리이다. 텔레비전 뉴스 프로그램의 색인 시스템을 만들기 위해서는 텍스트를 검출하고 인식하는 것이 중요하다. 이 논문은 뉴스 비디오에서 오버레이 텍스트를 검출하고 인식하는데 도움이 되는 오버레이 텍스트 시작 프레임 식별을 제안한다. 비디오 시퀀스의 모든 프레임이 오버레이 텍스트를 포함하는 것이 아니기 때문에, 모든 프레임에서 오버레이 텍스트의 추출은 불필요하고 시간 낭비다. 그러므로 오버레이 텍스트를 포함하고 있는 프레임에만 초점을 맞춤으로써 오버레이 텍스트 검출의 정확도를 개선할 수 있다. 텍스트 시작 프레임 식별 방법에 대한 비교 실험을 뉴스 비디오에 대해서 실시하고, 적절한 처리 방법을 제안한다.