• 제목/요약/키워드: Multi-Anchor

검색결과 63건 처리시간 0.031초

디지털 컬러 교정인쇄를 위한 새로운 색역사상 방법에 관한 연구 (A Study on the New Gamut Mapping Method for Digital Color Proofing)

  • 송경철;강상훈
    • 한국인쇄학회지
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    • 제20권2호
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    • pp.119-129
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    • 2002
  • On the process of cross-media color reproduction, a key feature is the use of gamut mapping techniques to adjust the different color gamuts between displays and printers. Even though a nunber of gamut mapping algorithms were published in the past, only limited colorimetric evaluation of them has been carried out to date. In this paper, the multi-anchor points clipping method(MAPC) was proposed as a new gamut mapping algorithm compensating the defects of the current algorithms such as nearest point clipping method(NPC), centroid clipping method(SLIN), straight clipping method(LLIN) and maximum chroma clipping method(CUSP).

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A Context-based Fast Encoding Quad Tree Plus Binary Tree (QTBT) Block Structure Partition

  • Marzuki, Ismail;Choi, Hansol;Sim, Donggyu
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2018년도 하계학술대회
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    • pp.175-177
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    • 2018
  • This paper proposes an algorithm to speed up block structure partition of quad tree plus binary tree (QTBT) in Joint Exploration Test Model (JEM) encoder. The proposed fast encoding of QTBT block partition employs three spatially neighbor coded blocks, such as left, top-left, and top of current block, to early terminate QTBT block structure pruning. The propose algorithm is organized based on statistical similarity of those spatially neighboring blocks, such as block depths and coded block types, which are coded with overlapped block motion compensation (OBMC) and adaptive multi transform (AMT). The experimental results demonstrate about 30% encoding time reduction with 1.3% BD-rate loss on average compared to the anchor JEM-7.1 software under random access configuration.

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VCM 의 바텀-업 MSFF 를 이용한 MSFC 기반 멀티-스케일 특징 압축 네트워크 개선 (Enhancement of MSFC-Based Multi-Scale Features Compression Network with Bottom-UP MSFF in VCM)

  • 김동하;한규웅;차준석;김재곤
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 추계학술대회
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    • pp.116-118
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    • 2022
  • MPEG-VCM(Video Coding for Machine)은 입력된 이미지/비디오의 특징(feature)를 압축하는 Track 1 과 입력 이미지/비디오를 직접 압축하는 Track 2 로 나뉘어 표준화가 진행 중이다. 본 논문은 Track 1 의 비전임무 네트워크로 사용하는 Detectron2 의 FPN(Feature Pyramid Network)에서 추출한 멀티-스케일 특징을 효율적으로 압축하는 MSFC 기반의 압축 모델의 개선 기법을 제시한다. 제안기법은 해상도를 줄여서 단일-스케일 압축맵을 압축하는 기존의 압축 모델에서 저해상도 특징맵을 고해상도 특징맵에 바텀-업(Bottom-Up) 구조로 합성하여 단일-스케일 특징맵을 구성하는 바텀-업 MSFF 를 가지는 압축 모델을 제시한다. 제안방법은 기존의 모델 보다 BPP-mAP 성능에서 1 ~ 2.7%의 개선된 BD-rate 성능을 보이며 VCM 의 이미지 앵커(image anchor) 대비 최대 -85.94%의 BD-rate 성능향상을 보인다.

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VCM 을 위한 FPN 다중 스케일 특징 압축 (Compression of Multiscale Features of FPN for VCM)

  • 김동하;윤용욱;이주영;정세윤;김재곤;정대권
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 하계학술대회
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    • pp.143-145
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    • 2022
  • MPEG-VCM(Video Coding for Machine)은 입력된 비디오 특징(feature)를 압축하는 Track1 과 입력 영상을 직접 압축하는 Track2 로 나뉘어 표준화가 진행중이다. 본 논문은 VCM Track 1 에 해당하는 Detectron2 FPN(Feature Pyramid Network)에서 추출한 다중 스케일 특징맵을 VVC 로 압축하는 MSFC(Multi-Scale Feature Compression)을 구조를 제안한다. 본 논문의 MSFC 에서는 다중 스케일 특징을 결합하여 부호화/복호화하는 기존의 구조에서 특징맵의 해상도를 줄여 압축하는 개선된 MSFC 를 제시한다. 제안 방법은 VCM 의 Track2 의 영상 앵커(image anchor) 보다 우수한 BPP-mAP 성능을 보이고 최대 -84.98%의 BD-rate 성능향상을 보인다.

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저비트율 멀티채널 오디오 부호화 (Low-bitrate Multichannel Audio Coding)

  • 장인선;서정일;백승권;강경옥
    • 방송공학회논문지
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    • 제10권3호
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    • pp.328-338
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    • 2005
  • 멀티채널 오디오 컨텐츠에 대한 사용자의 욕구가 증가하고 있는 가운데 서비스를 위한 저비트율 멀티채널 오디오 부호화 기술에 대한 표준화가 진행되고 있다. 본 논문에서는 협대역폭 채널환경에 적합한 고압축율의 멀티채널 오디오 부호화 기술인 음원위치단서 부호화 기술(Sound Source Location Cue Coding; SSLCC)을 제안하고, SSLCC가 기존 BCC (Binaural Cue Coding)의 압축 성능을 향상시키기 위하여 단서로 이용한 VSLI (Virtual Source Location Information)를 설명한다. 또한 객관적 평가로 기존의 BCC 시스템과의 평균 비트율을 비교하고, MUSHRA (Multi-Stimulus test with Hidden Reference and Anchor) 방법을 이용한 주관 청취 평가를 수행하여 제안된 SSLCC 부호화 기법의 우수성을 확인하였다.

A method based on Multi-Convolution layers Joint and Generative Adversarial Networks for Vehicle Detection

  • Han, Guang;Su, Jinpeng;Zhang, Chengwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권4호
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    • pp.1795-1811
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    • 2019
  • In order to achieve rapid and accurate detection of vehicle objects in complex traffic conditions, we propose a novel vehicle detection method. Firstly, more contextual and small-object vehicle information can be obtained by our Joint Feature Network (JFN). Secondly, our Evolved Region Proposal Network (EPRN) generates initial anchor boxes by adding an improved version of the region proposal network in this network, and at the same time filters out a large number of false vehicle boxes by soft-Non Maximum Suppression (NMS). Then, our Mask Network (MaskN) generates an example that includes the vehicle occlusion, the generator and discriminator can learn from each other in order to further improve the vehicle object detection capability. Finally, these candidate vehicle detection boxes are optimized to obtain the final vehicle detection boxes by the Fine-Tuning Network(FTN). Through the evaluation experiment on the DETRAC benchmark dataset, we find that in terms of mAP, our method exceeds Faster-RCNN by 11.15%, YOLO by 11.88%, and EB by 1.64%. Besides, our algorithm also has achieved top2 comaring with MS-CNN, YOLO-v3, RefineNet, RetinaNet, Faster-rcnn, DSSD and YOLO-v2 of vehicle category in KITTI dataset.

Development of a Novel Cell Surface Attachment System to Display Multi-Protein Complex Using the Cohesin-Dockerin Binding Pair

  • Ko, Hyeok-Jin;Song, Heesang;Choi, In-Geol
    • Journal of Microbiology and Biotechnology
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    • 제31권8호
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    • pp.1183-1189
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    • 2021
  • Autodisplay of a multimeric protein complex on a cell surface is limited by intrinsic factors such as the types and orientations of anchor modules. Moreover, improper folding of proteins to be displayed often hinders functional cell surface display. While overcoming these drawbacks, we ultimately extended the applicability of the autodisplay platform to the display of a protein complex. We designed and constructed a cell surface attachment (CSA) system that uses a non-covalent protein-protein interaction. We employed the high-affinity interaction mediated by an orthogonal cohesin-dockerin (Coh-Doc) pair from Archaeoglobus fulgidus to build the CSA system. Then, we validated the orthogonal Coh-Doc binding by attaching a monomeric red fluorescent protein to the cell surface. In addition, we evaluated the functional anchoring of proteins fused with the Doc module to the autodisplayed Coh module on the surface of Escherichia coli. The designed CSA system was applied to create a functional attachment of dimeric α-neoagarobiose hydrolase to the surface of E. coli cells.

디아스포라의 정치적 가능성과 문제점 (The Political Potentials and Pitfalls of Diaspora)

  • 이석구
    • 영미문화
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    • 제14권2호
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    • pp.185-206
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    • 2014
  • The concept of the "diaspora" has established itself as one of the major topics in literary and cultural studies in the first two decades of the twenty-first century. Contemporary studies on this topic tend to regard is diaspora as either as a liberatory space unmoored from a repressive national identity-formation or as a condition pregnant with challenges to the authority of a nation-state or nationalism. Viewed from within the social realities of multi-ethnic nations, however, diaspora has an alternative, darker face. For, reproduced within the concept itself, is that of a hierarchy: this hierarchy is one in which a dominant group seeks to repress the same ethnic members for their failure to conform. What is more, the cultural difference, which diaspora is believed to preserve, lends the dominant group an excuse to re-ethnicize its immigrants, subsuming them under the same extra-national category as that of the people or homeland they have left behind. By analyzing a range of historical and theoretical models, this study offers itself as an attempt to clarify the current, and often confusing, understandings of the condition of diaspora. By delving into its political potentials and discussing their possible socio-political ramifications, the study suggests that researchers of diaspora need to anchor themselves in historicity lest they end up "speaking for" their chosen subjects.

VCM 의 MSFC 기반 특징 압축을 위한 Min-Max 시그널링을 제외한 특징맵 생성 기법 (A Feature Map Generation Method for MSFC-Based Feature Compression without Min-Max Signaling in VCM)

  • 김동하;윤용욱;김재곤
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 추계학술대회
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    • pp.79-81
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    • 2022
  • MPEG-VCM(Video Coding for Machines)에서는 머신비전(machine vision) 네트워크의 백본(backbone)에서 추출된 이미지/비디오 특징 압축을 위한 표준화를 진행하고 있다. 현재 VCM 표준기술 탐색 과정에서 가장 좋은 압축 성능을 보이는 MSFC(Multi-Scale Feature compression) 기반 압축 네트워크 모델은 추출된 멀티-스케일 특징을 단일-스케일 특징으로 변환하여 특징맵으로 구성하고 이를 VVC 로 압축한다. 본 논문에서는 MSFC 기반 압축 모델에서 Min-Max 값 시그널링을 제외한 최소-최대(Min-Max) 정규화를 포함한 개선된 특징맵 생성 기법을 제시한다. 즉, 제안기법은 VCM 디코더에서의 특징맵 복원을 위한 Min-Max 값을 학습 기반으로 생성함으로써 Min-Max 시그널링의 비트 오버헤드 절감뿐만 아니라 별도의 시그널링 기제를 생략한 보다 단순한 전송 비트스트림 구성을 가능하게 한다. 실험결과 제안기법은 이미지 앵커(Anchor) 대비 BPP-mAP 성능에서 83.24% BD-rate 이득을 보이며, 이는 기존 MSFC 보다 1.74%정도 다소 떨어지지만 별도의 Min-Max 시그널링 없이도 기존의 성능을 유지할 수 있음을 보인다.

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Vessel traffic geometric probability approaches with AIS data in active shipping lane for subsea pipeline quantitative risk assessment against third-party impact

  • Tanujaya, Vincent Alvin;Tawekal, Ricky Lukman;Ilman, Eko Charnius
    • Ocean Systems Engineering
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    • 제12권3호
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    • pp.267-284
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    • 2022
  • A subsea pipeline designed across active shipping lane prones to failure against external interferences such as anchorage activities, hence risk assessment is essential. It requires quantifying the geometric probability derived from ship traffic distribution based on Automatic Identification System (AIS) data. The actual probability density function from historical vessel traffic data is ideal, as for rapid assessment, conceptual study, when the AIS data is scarce or when the local vessels traffic are not utilised with AIS. Recommended practices suggest the probability distribution is assumed as a single peak Gaussian. This study compares several fitted Gaussian distributions and Monte Carlo simulation based on actual ship traffic data in main ship direction in an active shipping lane across a subsea pipeline. The results shows that a Gaussian distribution with five peaks is required to represent the ship traffic data, providing an error of 0.23%, while a single peak Gaussian distribution and the Monte Carlo simulation with one hundred million realisation provide an error of 1.32% and 0.79% respectively. Thus, it can be concluded that the multi-peak Gaussian distribution can represent the actual ship traffic distribution in the main direction, but it is less representative for ship traffic distribution in other direction. The geometric probability is utilised in a quantitative risk assessment (QRA) for subsea pipeline against vessel anchor dropping and dragging and vessel sinking.