• Journal of information and communication convergence engineering
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• 제13권3호
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• pp.205-214
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• 2015

In this paper, we propose a new approach to learning a discriminative model for figure/ground segmentation by incorporating the bag-of-features and conditional random field (CRF) techniques. We advocate the use of image patches instead of superpixels as the basic processing unit. The latter has a homogeneous appearance and adheres to object boundaries, while an image patch often contains more discriminative information (e.g., local image structure) to distinguish its categories. We use pixel-level sparse coding to represent an image patch. With the proposed feature representation, the unary classifier achieves a considerable binary segmentation performance. Further, we integrate unary and pairwise potentials into the CRF model to refine the segmentation results. The pairwise potentials include color and texture potentials with neighborhood interactions, and an edge potential. High segmentation accuracy is demonstrated on three benchmark datasets: the Weizmann horse dataset, the VOC2006 cow dataset, and the MSRC multiclass dataset. Extensive experiments show that the proposed approach performs favorably against the state-of-the-art approaches.

• Asian-Australasian Journal of Animal Sciences
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• 제31권1호
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• pp.13-18
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• 2018

Objective: Meat quality including muscle color in chickens is an important trait and continuous selective pressures for fast growth and high yield have negatively impacted this trait. This study was conducted to investigate genetic variations responsible for regulating muscle color. Methods: Whole genome re-sequencing analysis using Illumina HiSeq paired end read method was performed with pooled DNA samples isolated from two broiler chicken lines divergently selected for muscle color (high muscle color [HMC] and low muscle color [LMC]) along with their random bred control line (RAN). Sequencing read data was aligned to the chicken reference genome sequence for Red Jungle Fowl (Galgal4) using reference based genome alignment with NGen program of the Lasergene software package. The potential causal single nucleotide polymorphisms (SNPs) showing non-synonymous changes in coding DNA sequence regions were chosen in each line. Bioinformatic analyses to interpret functions of genes retaining SNPs were performed using the ingenuity pathways analysis (IPA). Results: Millions of SNPs were identified and totally 2,884 SNPs (1,307 for HMC and 1,577 for LMC) showing >75% SNP rates could induce non-synonymous mutations in amino acid sequences. Of those, SNPs showing over 10 read depths yielded 15 more reliable SNPs including 1 for HMC and 14 for LMC. The IPA analyses suggested that meat color in chickens appeared to be associated with chromosomal DNA stability, the functions of ubiquitylation (UBC) and quality and quantity of various subtypes of collagens. Conclusion: In this study, various potential genetic markers showing amino acid changes were identified in differential meat color lines, that can be used for further animal selection strategy.

• Asian-Australasian Journal of Animal Sciences
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• 제26권11호
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• pp.1518-1522
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• 2013

TYR (Tyrosinase) and TYRP1 (Tyrosinase-related protein 1) play crucial roles in determining the coat color of birds. In this paper, we aimed to characterize the relationship of TYR and TYRP1 genes with plumage colors in Korean quails. The SNPs were searched by cDNA sequencing and PCR-SSCP in three plumage color Korean quails (maroon, white and black plumage). Two SNPs ($367T{\rightarrow}C$ and $1153C{\rightarrow}T$) were found in the coding region of TYRP1 gene, but had no significant association with plumage phenotype in Korean quails. The expression of TYR was higher in black plumage quails than that in maroon plumage quails. In contrast, the expression of TYRP1 was lower in black plumage quails than that in maroon plumage quails. This study suggested that the melanic plumage color in Korean quails may be associated with either increased production of TYR or decreased production of TYRP1.

• ETRI Journal
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• 제42권2호
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• pp.258-271
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• 2020

A correlation exists between luminance samples and chrominance samples of a color image. It is beneficial to exploit such interchannel redundancy for color image compression. We propose an algorithm that predicts chrominance components Cb and Cr from the luminance component Y. The prediction model is trained by supervised learning with Laplacian-regularized least squares to minimize the total prediction error. Kernel principal component analysis mapping, which reduces computational complexity, is implemented on the same point set at both the encoder and decoder to ensure that predictions are identical at both the ends without signaling extra location information. In addition, chrominance subsampling and entropy coding for model parameters are adopted to further reduce the bit rate. Finally, luminance information and model parameters are stored for image reconstruction. Experimental results show the performance superiority of the proposed algorithm over its predecessor and JPEG, and even over JPEG-XR. The compensation version with the chrominance difference of the proposed algorithm performs close to and even better than JPEG2000 in some cases.

• 방송공학회논문지
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• 제13권3호
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• pp.388-400
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• 2008

본 논문에서는 다시점 비디오 부호화에서 색차 보상을 적용하여 비용면에서 효과적으로 기준 영상의 품질을 향상시키는 방법을 소개한다. 제안하는 방법은 기준 P-영상에만 적용이 되며, 그 중에서도 INTER $16{\times}16$ 모드와 SKIP 모드에만 적용된다. JVT의 공통 실험 조건을 사용하여 실험을 수행하였을 경우, 휘도 성분 신호인 Y 신호에서 거의 동일한 성능을 유지하면서, 색차 성분인 U, V 신호에 대해 평균 BD-PSNR이 각각 0.136 dB, 0127 dB 향상되었고, 저비트율 실험에서는 Y, U, V 신호에 대해 평균 BD-PSNR이 각각 0.141 dB, 0.494 dB, 0.525 dB 향상되었다. 제안하는 방법을 적용하는 기준 P-영상의 비중은 전체 영상 시퀀스에서 4.18%로 상당히 비중이 작기 때문에 필요한 계산 복잡도는 상당히 낮다고 할 수 있으며, 이에 비해 색상 정보의 부호화 효율은 매우 향상되었음을 확인할 수 있다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2000년도 춘계종합학술대회
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• pp.342-347
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• 2000

새로운 칼라 영상 압축은 순간 포착과 블록절단 코딩에 기초로 두 개의 대표적인 칼라 중 하나로 할당된 각각의 블록 화소와 겹치지 않은 블록으로 분할된 입력은 블록에서 포착된 어떤 순간으로부터 유래된 해석방식으로 계산된다. 비트맵은 화소의 칼라를 묘사하기 위해 각각의 블록을 일반화하며 별개의 균일한 조건에 의해 설정된 대표적인 칼라는 동일하다고 간주되고 부호 비트를 저장하기 위해 이용된다. 본 연구에서 실험결과에 의해 13이상의 좋은 평균 압축률이 달성될 수 있었다.

• 한국표면공학회지
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• 제8권2호
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• pp.1-6
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• 1975

A novel electroplating process is described and effects of anode lay-out thickness distribution and on platiting rate are discussed. Microphotograhic analysis indicates are compact and less "POROUS " than of barrel and rack. With this process production cost reduction and capacity increase could be achieved by a rate of 60% and 97% respectively, as compared to our present barrel plating process. This process disclose a number of beneficial processes such as color coding system on TO-92 package and development of a new tin bath formula.

• 한국멀티미디어학회논문지
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• 제7권12호
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• pp.1737-1744
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• 2004

In the compression methods widely used today, the image compression by VQ is the most popular and shows a good data compression ratio. Almost all the methods by VQ use the LBG algorithm that reads the entire image several times and moves code vectors into optimal position in each step. This complexity of algorithm requires considerable amount of time to execute. To overcome this time consuming constraint, we propose an enhanced self-organizing neural network for color images. VQ is an image coding technique that shows high data compression ratio. In this study, we improved the competitive learning method by employing three methods for the generation of codebook. The results demonstrated that compression ratio by the proposed method was improved to a greater degree compared to the SOM in neural networks.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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• pp.863-864
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• 2005

In recent years, we use overdriving scheme to improve the response time of the liquid crystal. Since conventional overdriving scheme uses memory to perform ideal processing, it is desired to reduce system cost by decreasing the data stored in these SDRAMs. As a general compression method, quantization, sub-sampling and Block Truncation Coding ( BTC ) are used, which process data in block base and cause block effect. So we proposed new data compression method by color space conversion. Because this method compresses luminance and chrominance signal by different ratio, it can efficiently reduce error of block effect in decompression image.

• 방송공학회논문지
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• 제18권6호
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• pp.935-938
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• 2013

본 레터논문에서는 컬러라이제이션(Colorization)기반 영상압축방법을 위해 평균이동기반의 영상분할법을 사용하여 컬러라이제이션 행렬을 분할하는 방법을 제안한다. 실험을 통해 제안한 방법을 사용할 경우 계산 속도는 대략 30배 이상 빨라지고, 기존의 역컬러라이제이션 기반의 압축방법에서 생기는 번짐(smearing) 현상도 많이 제거가 되는 것을 볼 수 있었다.