• Journal of Satellite, Information and Communications
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• v.11 no.2
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• pp.48-54
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• 2016

As the nonlinear viewing patterns are getting generalized, the needs for VOD service of consumers are increasing in TV, webTV. But today's VOD system is all automated, except the part for posting contents. This study proposes the method for automation of the content posting. For this we analyzed the broadcast program structures by genre in order to detect the transition point between the advertisement and the contents. It was found that regular black frames were set in the transition during fade in and out. We propose an efficient approach to automatically detect the black frames using RGB values of each frame that enable VOD content posting and replace an advertisement in VOD service.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.188-191
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• 2011

본 논문에서는 MPEG-4 LASeR (Lightweight Application Scene Representation) 장면기술을 활용하여 효과적인 EPG(Electronic Program Guide) 서비스를 제공하는 방안을 제안한다. EPG는 텔레비전 방송 프로그램의 편성표를 텔레비전 화면상에 표시하는 것으로, 텔레비전을 시청하는 사람은 이 편성표를 통해 원하는 프로그램을 선택하거나 시간, 제목, 채널, 장르 등을 기준으로 원하는 프로그램을 검색할 수 있는 서비스를 말한다. 국제 표준 규격인 MPEG-4에는 장면의 동적인 업데이트를 위해 다양한 명령을 포함한 장면 서술정보를 제공 할 수 있는 LASeR 기술을 제공하고 있다. 특히, LASeR 표준은 구조화된 정보의 표현 및 수정 방법을 제공하기 위한 방법으로 PMSI (Presentation Method & Structured Information)를 제정하였으며, 해당 기술은 장면 서술정보에서 구조화된 정보의 일부분을 참조하여 장면에 효과적으로 표현하는 것을 가능하게 해 준다. 본 논문에서는 MPEG-4 LASeR PMSI를 기존의 텍스트 중심의 단순 EPG에 적용하여 텍스트 뿐만이 아닌 이미지 비디오 등의 멀티미디어 데이터를 활용하여 보다 동적으로 EPG 서비스를 제공하는 방법에 대하여 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.169-170
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• 2017

In this paper, we analyze contents of formal and non - standardized data to understand what factors affect the ratings of drama. The formalized data collection collected 19 items from the four areas of drama information, person information, broadcasting information, and audience rating information of each broadcasting company. In order to collect unstructured data, crawling techniques were used to collect bulletin boards, pre - broadcast blogs and post - broadcast blogs for each drama. From the collected data, it was found that the differences according to broadcasting time, the start time, genre, and day of broadcasting were similar among broadcasting companies.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2003.11a
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• pp.215-218
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• 2003

본 논문에서는 MPEG-7에 정의된 오디오 서술자를 이용한 오디오 특징을 기반으로 한 음악 검색 알고리즘을 제안한다. 특히 timbral 특징들은 음색 구분을 용이하게 할 수 있어 음악 검색뿐만 아니라 음악 장르 분류 또는 Query by humming에 이용 될 수 있다. 이러한 연구를 통하여 오디오 신호의 대표적인 특성을 표현 할 수 있는 특징벡터를 구성 할 수 있다면 추후에 멀티모달 시스템을 이용한 검색 알고리즘에도 오디오 특징으로 이용 될 수 있을 것이다 본 논문에서는 방송 시스템에 적용 할 수 있도록 검색 범위를 특정 컨텐츠의 O.S.T 앨범으로 제한하였다. 즉, 사용자가 임의로 선택한 부분적인 오디오 클립만을 이용하여 그 컨텐츠 전체의 O.S.T 앨범 내에서 음악을 검색할 수 있도록 하였다. 오디오 특징벡터를 구성하기 위한 MPEG-7 오디오 서술자의 조합 방법을 제안하고 distance 또는 ratio 계산 방식을 통해 성능 향상을 추구하였다. 또한 reference 음악의 템플릿 구성 방식의 변화를 통해 성능 향상을 추구하였다. Classifier로 k-NN 방식을 사용하여 성능 평가를 수행한 결과 timbral spectral feature들의 비율을 이용한 IFCR(Intra-Feature Component Ratio) 방식이 Euclidean distance 방식보다 우수한 성능을 보였다.

• Phonetics and Speech Sciences
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• v.11 no.4
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• pp.89-96
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• 2019

In this paper, we propose a deep learning architecture that can effectively detect speech segmentation in broadcast contents. We also propose a multi-scale time-dilated layer for learning the temporal changes of feature vectors. We implement several comparison models to verify the performance of proposed model and calculated the frame-by-frame F-score, precision, and recall. Both the proposed model and the comparison model are trained with the same training data, and we train the model using 32 hours of Korean broadcast data which is composed of various genres (drama, news, documentary, and so on). Our proposed model shows the best performance with F-score 91.7% in Korean broadcast data. The British and Spanish broadcast data also show the highest performance with F-score 87.9% and 92.6%. As a result, our proposed model can contribute to the improvement of performance of speech detection by learning the temporal changes of the feature vectors.

• Journal of KIISE
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• v.42 no.5
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• pp.637-641
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• 2015

Due to the recent increasement of user created contents like SNS, blog posts, and so on, broadcast contents are actively re-construction by its users. Especially, on some genres like drama, movie, various information from cars and film sites to clothes and watches in a content is spreaded out to other users through blog postings. Since such information can be an additional information for the content, they can be used for providing high-quality broadcast services. For this purpose, in this paper, we propose timeline tag cloud generation method for broadcasting contents. In the proposed method, blog postings on the target contents are first gathered and then, images and words around images are extracted from a blog post as a tag set. An extracted tag set is tagged on a specific timeline of the target content. In experiments, to prove the efficiency of the proposed method, we evaluated the performances of the proposed image matching and tag cloud generation methods.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.279-292
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• 2020

The purpose of this study is to suggest what the effect of channel brand equity is in the environment of multi-platform and to raise how channel brand equity is important by investigating how terrestrial TV's channel brand equity influences viewers' choice and use of the terrestrial TV contents on the multi-platform. The findings showed that the terrestrial TV's channel brand equity partially had a significant effect on the degree of use of Terrestrial TV contents on multi-platforms, but it did not on the diversity of media for viewing the terrestrial TV contents. In addition, it partially had an influence on the use of platform and service for viewing terrestrial TV contents by type. Finally, it also partially had impacts on the diversity of genre and the genre use by type. The findings suggest that the channel brand equity can have effects on the viewers' choice and use of broadcasting contents on the multi-platforms, and thus this study provides significant insights on what strategies are required for the competitiveness of broadcasting channels.

• Journal of Broadcast Engineering
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• v.9 no.4 s.25
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• pp.305-321
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• 2004

With the advent of the digital broadcasting, the audiences can access a large number of TV programs and their information through the multiple channels on various media devices. The access to a large number of TV programs can support a user for many chances with which he/she can sort and select the best one of them. However, the information overload on the user inevitably requires much effort with a lot of patience for finding his/her favorite programs. Therefore, it is useful to provide the persona1ized broadcasting service which assists the user to automatically find his/her favorite programs. As the growing requirements of the TV personalization, we introduce our automatic user preference learning algorithm which 1) analyzes a user's usage history on TV program contents: 2) extracts the user's watching pattern depending on a specific time and day and shows our automatic TV program recommendation system using MPEG-7 MDS (Multimedia Description Scheme: ISO/IEC 15938-5) and 3) automatically calculates the user's preference. For our experimental results, we have used TV audiences' watching history with the ages, genders and viewing times obtained from AC Nielson Korea. From our experimental results, we observed that our proposed algorithm of the automatic user preference learning algorithm based on the Bayesian network can effectively learn the user's preferences accordingly during the course of TV watching periods.

• Convergence Security Journal
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• v.16 no.5
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• pp.73-79
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• 2016

EPG (Electronic Program Guide), which shows the title, broadcasting time, genre, parental rating of a program, is recognized as one of the most successful data service by viewers and broadcasting stations, who want an improved TV watching experience and a more fruitful profit model, respectively. In the circumstance, the request for the development or renewal of EPG frequently occurs and so the developers are looking for ways to improve the efficiency of the EPG development. This paper addresses the need of the developers by devising an EPG feature model based on FODA (Feature-Oriented Domain Analysis) and the testcases of each feature of the model. By utilizing the EPG feature model and the testcases, the tasks of requirement analysing and testcase designing, which are major tasks of the EPG development process, can be improved.

• Journal of Game and Entertainment
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• v.2 no.2
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• pp.75-84
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• 2006

In terms of creating widespread popularity and a high value added business, TV drama is recognized as an unrivaled entertainment content above any other TV program genres Although recently some broadcasting companies have been trying to set up a drama production system, it seems that a well-structured system has not been established, yet. This study analyses the practices and mechanisms of drama producing processes based on the in-depth interviews with the experts in the drama production fields in three major broadcasting companies. It is found that the Korean drama production system is 'a producer-director system' and that the strategies for the windowing effects are not systematically applied from the pre-production stage. For the broadcasting companies to strengthen the competitiveness through drama, the expert-producer system should be introduced, the production elements should be systematically managed, and the multi-use strategies should be effectively established.