• The Journal of Korean Institute of Communications and Information Sciences
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• v.12 no.5
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• pp.466-477
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• 1987

본 논문에서는 NTSC칼라 TV합성신호를 프레임내에서 색도신호와 명도신호성분으로 분리하기 위한 두 종류의 적응 필터링 방식을 제시하였다. 적응 필터링 방식에 있어서 합성신호는 수직필터와 수평필터에 의하여 필터링 되어 지고 화상의 국부적인 특성에 따라 필터의 출력이 선택되어 진다. 첫번째 방식에서는 조건형 스위칭 알고리즘에 의하여 수직필터 또는 수평필터의 출력이 최종단의 출력으로 결정되어 진다. 두번째 방식에서는 선형 조합 검출 알고리즘에 의하여 수직필터와 수평필터의 출력의 가중치합이 최종단의 출력이 된다. 사용된 필터들은 NTSC 칼라 TV 합성신호를 4fsc로 샘플한 경우에 대하여 설계되어졌다. 몇가지 정량적인 기준을 이용하여 여러가지 방식들을 컴퓨터 시뮬레이션에 의하여 비교평가하였다.

• Journal of Broadcast Engineering
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• v.18 no.1
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• pp.88-97
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• 2013

Collaborative filtering(CF) for the personalized recommendation is a successful and popular method in recommender systems. But the mainly researched and implemented cases focus on dealing with independent items with explicit feedback by users. For the domain of TV program recommendation in VOD service platform, we need to consider the unique characteristic and constraints of the domain. In this paper, we studied on the way to convert the viewing history of each TV program episodes to the TV program preference by considering the series structure of TV program. The former is implicit for personalized preference, but the latter tells quite explicitly about the persistent preference. Collaborative filtering is done by the unit of series while data gathering and final recommendation is done by the unit of episodes. As a result, we modified CF to make it more suitable for the domain of TV program VOD recommendation. Our experimental study shows that it is more precise in performance, yet more compact in calculation compared to the plain CF approaches. It can be combined with other existing CF techniques as an algorithm module.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.1A
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• pp.84-90
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• 2005

In Korea, transition to digital TV broadcasting started at the metropolitan Seoul area and has expanded to the metropolitan area in 2004. However, until 2010 analog NTSC broadcasting will co-exist with digital TV. In this situation, digital TV may have the same channel as an analog NTSC broadcasting. To remove the effect of the analog NTSC intereference, DTV receivers adopt an NTSC rejection filter. In this paper, analysis on properties of the filter, such as a rejection property and noise performance degradation, is presented.

• Journal of the Korea Society of Computer and Information
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• v.17 no.8
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• pp.81-90
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• 2012

For digital TV, the recommendation of u-health personalized service of semantic environment should be done after evaluating individual physical condition, illness and health condition. The existing recommendation method of u-health personalized service of semantic environment had low user satisfaction because its recommendation was dependent on ontology for analyzing significance. We propose the personalized service recommendation method based on Naive Bayesian Classifier for u-health service of semantic environment in digital TV. In accordance with the proposed method, the condition data is inferred by using ontology, and the transaction is saved. By applying naive bayesian classifier that uses preference information, the service is provided after inferring based on user preference information and transaction formed from ontology. The service inferred based on naive bayesian classifier shows higher precision and recall ratio of the contents recommendation rather than the existing method.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1413-1422
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• 2010

With the emergence of digital TV broadcasting, various channels are provided to a TV audience. But it is getting hard for the audience to find his or her preferred TV programs due to the huge number of TV channels. In order to mitigate the difficulty, TV broadcasting companies provide an electronic program guide (EPG), which is a digital guide to scheduled broadcast TV programs. However, it results in the information overload problem and the time-consuming problem since the number of TV channels and programs is gradually on the increase. In this paper, we design and develop a channel filtering system, which recommends a small number of channels by filtering TV channels based on the watching pattern of the TV audience. The channel filtering system does not require the replacement or upgrade of existing TV or set-top box. In addition, it increases usability by skipping the channels that broadcast the audience's non-preferred TV programs while the TV audience presses the channel up/down button.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.431-436
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• 2015

As a number of TV programs broadcast today, researches about TV program recommender system have been studied and many researchers have been studying recommender system to produce recommendation with high accuracy. Recommender system recommends TV program to user by using metadata like genre, plot or calculating users' preferences about TV programs. In this paper, we propose a new TV program Collaborative Filtering Recommender System that exploits viewing time pattern like viewing ratio, relation with finish time and recently viewing history to calculate preference for high-quality of recommendation. To verify usefulness of our research, we also compare our method which utilizes viewing time patterns and baseline which simply recommends TV program of user's most frequently watched channel. Through this experiments, we show that our method very effectively works and recommendation performance increases.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.272-274
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• 2013

최근 TV 시청자들의 콘텐츠 소비량이 증가함에 따라 방송사에서 제공하는 TV 프로그램들의 수량이 방대해지고 장르 또한 다양해지고 있기 때문에 시청자가 TV 프로그램을 선택하는 것이 점점 더 어려워지고 있다. 이러한 문제를 해결하기 위해 TV 프로그램 추천이라는 연구가 활발하게 이루어지고 있다. 기존의 연구에서는 시청자를 기반으로 하는 협업 필터링 추천 방법과 아이템을 기반으로 하는 협업 필터링 추천 방법이 제안되었지만 시청자의 시청 의도를 고려하는 연구는 사례는 적다. 이에 본 논문에서는 LDA 모델링을 이용하여 사용자의 시청 의도를 고려한 TV 프로그램 추천 기법을 제안한다. 실험을 통해 시청자의 시청 의도가 반영된 TV 프로그램 추천이 가능하다는 것을 검증했다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.10
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• pp.1900-1909
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• 1994

Although the existing NTSC TV standard is highly sophisticated, it has some inherent problems. One of these problems is interlaced scanning, which yields a poor result in terms of the vertical picture resolution. In this paper, we have proposed the interlace to progressive conversion method using the pseudomedian filters. Since the proposed method is processed in the intra field is different from the conventional method using the median filter, it is implemented without using field memory and its performance is same or nearly the same as the corresponding performance of the median filtering method. The performance of the proposed method has been compared with that of conventional methods through computer simulation.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.553-556
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• 2001

본 논문은 불완전한 휘도/색신호 분리로 인해 복조된 NTSC 칼라 TV신호의 휘도와 색차신호의 경계(edge)에서 나타나는 dot 패턴을 제거하는 2차원 필터에 대한 것이다. 제안된 필터는 휘도와 색차신호의 천이영역 검출신호와 dot 패턴 검출신호에 따라 직렬(cascade)로 연결된 수평-수직방향 저역통과필터의 차단주파수를 조절함으로써 dot 패턴을 감소시킨다. 제안 방식의 성능을 검증하기 위하여 현재 가장 많이 사용되는 NTSC 디코더 칩인 BT835과 SAA7113H을 이용하여 복조된 휘도와 색차신호에 적용한 결과 영상신호가 변화를 갖는 경계 영역에서 발생한 dot 패턴과 불완전한 복조로 인해 발생하는 평탄영역에서의 dot 패턴이 제거되었음을 확인할 수 있었다.

• Journal of the Korean Institute of Telematics and Electronics
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• v.21 no.5
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• pp.27-32
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• 1984

In SAW filters with a small aperture, diffraction effect is not negligible and degrades the frequency response near the trap. A computer simulation program for diffraction analysis is developed, and an effective diffraction compensation method is proposed to compensate the diffraction effect. A TV-lF SAW filter was designed with the diffraction taken account by the proposed method, which satisfies given frequency specifications.