• Journal of Broadcast Engineering
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• v.10 no.3
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• pp.357-371
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• 2005

In this Paper, we propose a new motion search algorithm called CDTS (Cross-Diamond-Triangle Search algorithm) that uses optimal search pattern according to the position of a search area to improve the performance of CDS(Cross-Diamond Search algorithm) as well as CDHSs(Cross-Diamond-Hexagonal Searches algorithms). We analyze motion distributions in various test video sequences to apply optimal search pattern according to a position of search area. Based on the result of this analysis, we propose a new triangle-shaped search pattern whose structure is asymmetric while previous search patterns are generally symmetric in conventional algorithms. In CDTS, we apply cross- and diamond-shaped search patterns to central search areas, and triangle- and diamond-shaped patterns to the other areas. Applying CDTS to test video sequences, the proposed scheme can reduce search points more than CDS and CDHSs by 16.22$\%$ and 3.09$\%$, respectively, without any visual quality degradation.

• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.95-107
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• 2012

Network coding was proposed to increase the achievable throughput of multicast in a network. Recently, combining network coding into user cooperation has attracted research attention. For cooperative transmission schemes with network coding, users combine their own and their partners messages by network coding. In previous works, it was shown that adaptive DF with network coding can achieve diversity gain and additional throughput gain. In this paper, to improve performance of conventional protocols and maximize advantage of using network coding, we propose a new network coding based user cooperation scheme which uses adaptively amplify-and-forward and decode-and-forward according to interuser channel status. We derive outage probability bound of proposed scheme and prove that it has full diversity order in the high SNR regime. Moreover, based on the outage bound, we compute optimal power allocation for the proposed scheme.

• Journal of Broadcast Engineering
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• v.26 no.2
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• pp.167-174
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• 2021

Recently, deep learning technology is widely used in various computer vision applications, such as object recognition, classification, and image generation. In particular, the deep learning-based super-resolution has been gaining significant performance improvement. Fast super-resolution convolutional neural network (FSRCNN) is a well-known model as a deep learning-based super-resolution algorithm that output image is generated by a deconvolutional layer. In this paper, we propose an FPGA-based convolutional neural networks accelerator that considers parallel computing efficiency. In addition, the proposed method proposes Optimal-FSRCNN, which is modified the structure of FSRCNN. The number of multipliers is compressed by 3.47 times compared to FSRCNN. Moreover, PSNR has similar performance to FSRCNN. We developed a real-time image processing technology that implements on FPGA.

• Journal of Broadcast Engineering
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• v.28 no.2
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• pp.194-212
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• 2023

The MPEG immersive video (MIV) coding standard achieved high compression efficiency by removing inter-view redundancy and merging the residuals of immersive video which consists of multiple texture (color) and geometry (depth) pairs. Grouping of views that represent similar spaces enables quality improvement and implementation of selective streaming, but this has not been actively discussed recently. This paper introduces an implementation of group-based encoding into the recent version of MIV reference software, provides experimental results on optimal views and videos per group, and proposes a decision method for optimal number of videos for global immersive video representation by using portion of residual videos.

• Journal of Broadcast Engineering
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• v.14 no.3
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• pp.322-331
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• 2009

This paper proposes an efficient data representation of stereo images using edge-based mesh optimization. Mash-based two dimensional warping for stereo images mainly depends on the performance of a node selection and a disparity estimation of selected nodes. Therefore, the proposed method first of all constructs the feature map which consists of both strong edges and boundary lines of objects for node selection and then generates a grid-based mesh structure using initial nodes. The displacement of each nodal position is iteratively estimated by minimizing the predicted errors between target image and predicted image after two dimensional warping for local area. Generally, iterative two dimensional warping for optimized nodal position required a high time complexity. To overcome this problem, we assume that input stereo images are only horizontal disparity and that optimal nodal position is located on the edge include object boundary lines. Therefore, proposed iterative warping method performs searching process to find optimal nodal position only on edge lines along the horizontal lines. In the experiments, we compare our proposed method with the other mesh-based methods with respect to the quality by using Peak Signal to Noise Ratio (PSNR) according to the number of nodes. Furthermore, computational complexity for an optimal mesh generation is also estimated. Therefore, we have the results that our proposed method provides an efficient stereo image representation not only fast optimal mesh generation but also decreasing of quality deterioration in spite of a small number of nodes through our experiments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4865-4886
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• 2017

The user experience of practical indoor power line communication (PLC) applications is greatly affected by the system quality-of-service (QoS) criteria. With a general broadcast-and-multi-access (BMA) relay scheme, in this work we investigate the joint source and relay power optimization of the amplify-and-forward (AF) relay systems used under indoor broad-band PLC environments. To achieve both time diversity and spatial diversity from the relay-involved PLC channel, which is time-varying in nature, the source node has been configured to transmit an identical message twice in the first and second signalling phase, respectively. The QoS constrained power allocation problem is not convex, which makes the global optimal solution is computationally intractable. To solve this problem, an alternating optimization (AO) method has been adopted and decomposes this problem into three convex/quasi-convex sub-problems. Simulation results show the fast convergence and short delay of the proposed algorithm under realistic relay-involved PLC channels. Compared with the two-hop and broadcast-and-forward (BF) relay systems, the proposed general relay system meets the same QoS requirement with less network power assumption.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.06a
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• pp.42-45
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• 2014

본 논문은 K-Pop 디지털 음원 서비스에 활용 가능한 음악 정보 (Music Information)를 기술하기 위한 Music Description 중 K-Pop Genre Description에 대한 연구이다. 본 연구는 K-Pop 상용화 서비스에 활용하기 위한 음악 장르 분류를 제안하였다. 기존에 서비스되고 있는 K-Pop 디지털 음원 포털의 음원 분류를 체계적으로 분석한 결과를 통하여, 상용화에 가장 적합한 K-Pop 음악 분류 서비스를 위한 장르 체계를 제안하고 있다. 또한, TV-anytime 등 국제적 상용화 및 표준화에 적용된 기존의 장르 분류들과의 매핑을 통하여 확장 및 공유가 가능한 형태의 새로운 장르 분류체계 관리를 위한 메타데이터 규격을 제안하고 있다.

• Journal of Broadcast Engineering
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• v.17 no.2
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• pp.252-261
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• 2012

This papers proposes a motion vector coding method which selects the optimal predictive motion vector after excluding some candidate predictive motion vectors in the minimum rate-distortion sense, and prunes the candidate predictive motion vectors by a contradiction testing that operates under a predefined criterion at both encoder and decoder for reducing the signaling information. Experimental results show that the proposed method gains in BDBR by up to 1.8% compared to the H.264/AVC.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.138-141
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• 2010

In this paper, we propose a semi-automatic method for semantic video object extraction which extracts meaningful objects from an input sequence with one correctly segmented training image. Given one correctly segmented image acquired by the user's interaction in the first frame, the proposed method automatically segments and tracks the objects in the following frames. We formulate the semantic object extraction procedure as an energy minimization problem at the fragment level instead of pixel level. The proposed energy function consists of two terms: data term and smoothness term. The data term is computed by considering patch similarity, color, and motion information. Then, the smoothness term is introduced to enforce the spatial continuity. Finally, iterated conditional modes (ICM) optimization is used to minimize energy function in a globally optimal manner. The proposed semantic video object extraction method provides faithful results for various types of image sequences.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.378-380
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• 2013

본 논문에서 구현한 경량단말을 활용한 이종 박물관 관람 환경별 최적의 적응적 관광 서비스 제공 모듈은 서로 다른 박물관을 관람하는 상황에 맞춰 그 관람객에게 가장 적합한 서비스를 제공을 해주는 모듈이다. 종래의 박물관 관람 형태는 사용자가 박물관에서 나누어준 하드카피 형태의 팜플렛 또는 가이드 안내에만 의존한 관람 형태이고, 주제별 아이템에 관한 상세 정보도 현장에 배치된 안내물을 보던가, 박물관에서 대여형태로 제공하는 오디오 장비만을 활용 하는 수준이며, 특히나 제한된 시간내에 대형 박물관을 관람해야 하는 경우 자신이 관심있는 것만 볼 수 없는 환경이다. 본 논문에서 소개될 이 모듈은 가상화 기술과 경량 단말을 활용하여 대형 박물관 또는 미술관등을 방문한 관람객에게 본인에게 맞는 최적의 관람 서비스를 제공한다. 좀더 자세하게는 대형 박물관에서 이 모듈이 사용되는 경우 넓은 공간에 무수히 많은 작품들이 전시되어 있는 상황에서 가용한 관광시간에 본인이 보고자 하는 것들만 추천받아볼 수 있도록 도와줄 수 있고, 최소한의 원가를 들여서 제작된 경량 스마트 단말을 통하여 해당 작품에 대해 상세한 부가 정보를 제공받아 박물관의 관람효과를 극대화 할 수 있도록 도와준다.