• Title/Summary/Keyword: Directional Broadcast

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Superresolution Restoration From Directional Rectangular Blurred Images (방향성 직사각형 열화 영상을 사용한 초해상도 영상복원)

  • Shin, Jeongho
    • Journal of Broadcast Engineering
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    • v.19 no.1
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    • pp.109-117
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    • 2014
  • This paper presents a superresolution restoration technique that can restore high-resolution images from differently blurred low resolution images rather than using the motion information between low-resolution images. In order to restore the super-resolution image the rotatable aperture mask lens system is proposed. The proposed technique does not need to estimate point spread function at each frame. In addition, it does not require image registration because there is no global translational motion between low resolution images. By using a rotatable rectangular aperture, two consecutive captured images provide sufficiently exclusive information for superresolution. Therefore, the proposed method can reduce the registration error between the low-resolution image as well as the calculation amount for superresolution restoration. The existing lens system of the camera can be extended to obtain a superresolution image by only adding an rotatable rectangular aperture mask. Finally, in order to verify the performance of the proposed system, experimental results are performed. By comparing with the existing superresolution methods, the proposed method showed the significant improvements in the sense of spatial resolution.

IPTV Based Multiplex Channel Shopping Mall Services (IPTV 기반 다중채널 쇼핑몰 서비스)

  • Noh, Dae-Hee;An, Beong-Ku;Ahn, Hong-Yeong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.5
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    • pp.45-51
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    • 2009
  • In this paper, we propose a multiplex channel shopping mall services using IPTV. The main idea and features are as follows. First, we suggest bi-directional conversation channel instead of conventional unidirectional channel. Currently shopping mall broadcast services are one sidedly provided by commercial company. In these kinds of methods, efficient communication of information between commercial company and users is difficult problem. In this paper, we can solve this problem by using IPTV technology. Second, we can create new profit model by using combination of both the advantages of internet shopping mall and the advantages of cable TV shopping mall.

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Enhanced Weighted Directional Demosaicking using Edge Indicator (에지 지시자를 이용한 향상된 방향 가중치 디모자이킹 알고리듬)

  • Ryu, Ji-Man;Yang, Si-Young;Lim, Tae-Hwan;Jung, Je-Chang
    • Journal of Broadcast Engineering
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    • v.15 no.2
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    • pp.265-279
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    • 2010
  • A color image requires at least three color channels to obtain the full color image. However the image sensor obtains only the intensity of the brightness, that is, three image sensors are required for every pixel to capture the full color image. Since the image sensor is quiet expensive, most of digital still cameras adopt single image sensor array with color filter array (CFA) to reduce the size and the cost. Since the image obtained using single sensor array has only one color component per pixel, we need to reconstruct the missing two color components to obtain the full color image. We call this process as color filter interpolation or demosaicking. In this paper, demosaicking algorithm composed of two large step is proposed. Proposed algorithm is combined with several different algorithms such as Edge-directed demosaicking, Second-order gradients as correction terms, Smooth hue transition Interpolation, etc. The simulation results show that the proposed algorithm performs much better than the state-of-the-art demosaicking algorithms in terms of both subjective and objective qualities.

Rent Seeking Analysis of IPTV Introduction Process in Korea (IPTV 도입 과정에 대한 지대추구론적 분석)

  • Jung, In-Soak
    • Korean journal of communication and information
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    • v.47
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    • pp.5-22
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    • 2009
  • This study analysed the complicated introduction process of IPTV in Korea, based on the rent seeking theory which is one of an useful economic theory for explaining the dynamic interaction between government and entrepreneurs. Rent seeking theory describes the possibility of lobbying for economic regulations or regulatory capture which refers to collusion between firms and the government agencies assigned to regulate them. The introduction of IPTV(Internet Protocol TV) in Korea was the most controversial policy issue since the beginning of new media business of cable TV in 1995. In addition to the ordinary conflict between the old and new entrepreneurs, IPTV caused the bureaucratic conflicts between the Ministry of Information and Communication and the Korean Broadcasting Commission (Two regulation agencies were merged into KCC(Korean Communications Commission) in 2008). Through the process all related policy players, including the government, pursued their own rent, and it caused vicious circle of continuous rent seeking and mutual distrust among players. Finally, all-directional lobby of pre-IPTV companies brought about the successful entrance to IPTV market and the enactment of IPTV special law which includes deregulation compared to the existing Broadcast Act. Considering the convergence trend of media related laws it means going against the times. Until now, the conflict phenomena occurring in broadcast industry were mostly explained based on the sociological conflict theory. However, the result of this study shows the usefulness and necessity of rent seeking theory because it gives an economic explanation of conflict behavior.

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Target Advertisement Service using a Viewer's Profile Reasoning (시청자 프로파일 추론 기법을 이용한 표적 광고 서비스)

  • Kim Munjo;Im Jeongyeon;Kang Sanggil;Kim Munchrul;Kang Kyungok
    • Journal of Broadcast Engineering
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    • v.10 no.1 s.26
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    • pp.43-56
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    • 2005
  • In the existing broadcasting environment, it is not easy to serve the bi-directional service between a broadcasting server and a TV audience. In the uni-directional broadcasting environments, almost TV programs are scheduled depending on the viewers' popular watching time, and the advertisement contents in these TV programs are mainly arranged by the popularity and the ages of the audience. The audiences make an effort to sort and select their favorite programs. However, the advertisement programs which support the TV program the audience want are not served to the appropriate audiences efficiently. This randomly provided advertisement contents can occur to the audiences' indifference and avoidance. In this paper, we propose the target advertisement service for the appropriate distribution of the advertisement contents. The proposed target advertisement service estimates the audience's profile without any issuing the private information and provides the target-advertised contents by using his/her estimated profile. For the experimental results, we used the real audiences' TV usage history such as the ages, fonder and time of the programs from AC Neilson Korea. And we show the accuracy of the proposed target advertisement service algorithm. NDS (Normalized Distance Sum) and the Vector correlation method, and implementation of our target advertisement service system.

T-Commerce Sale Prediction Using Deep Learning and Statistical Model (딥러닝과 통계 모델을 이용한 T-커머스 매출 예측)

  • Kim, Injung;Na, Kihyun;Yang, Sohee;Jang, Jaemin;Kim, Yunjong;Shin, Wonyoung;Kim, Deokjung
    • Journal of KIISE
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    • v.44 no.8
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    • pp.803-812
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    • 2017
  • T-commerce is technology-fusion service on which the user can purchase using data broadcasting technology based on bi-directional digital TVs. To achieve the best revenue under a limited environment in regard to the channel number and the variety of sales goods, organizing broadcast programs to maximize the expected sales considering the selling power of each product at each time slot. For this, this paper proposes a method to predict the sales of goods when it is assigned to each time slot. The proposed method predicts the sales of product at a time slot given the week-in-year and weather of the target day. Additionally, it combines a statistical predict model applying SVD (Singular Value Decomposition) to mitigate the sparsity problem caused by the bias in sales record. In experiments on the sales data of W-shopping, a T-commerce company, the proposed method showed NMAE (Normalized Mean Absolute Error) of 0.12 between the prediction and the actual sales, which confirms the effectiveness of the proposed method. The proposed method is practically applied to the T-commerce system of W-shopping and used for broadcasting organization.