• 제목/요약/키워드: versatile

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VVC 의 블록모양 적응적 화면간 예측 후보 리스트 유도 기법 (Block Shape Adaptive Candidate List Derivation for Inter Prediction in Versatile Video Coding (VVC))

  • 도지훈;박도현;김재곤;정대권
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2018년도 하계학술대회
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    • pp.257-259
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    • 2018
  • 최근 JVET(Joint Video Experts Team)는 새로운 비디오 압축 표준을 VVC(Versatile Video Coding)으로 이름 짓고 2020 년 완료를 목표로 그 표준화를 시작하였다. HEVC 및 VVC 에서는 화면간 예측의 부호화 효율을 위하여 공간적/시간적 주변블록의 움직임 정보로부터 Merge/AMVP(Advanced Motion Vector Prediction)의 후보 리스트를 구성하고 최적의 움직임 정보를 활용한다. 본 논문에서는 Merge/AMVP 의 후보 리스트를 유도할 때, 현재블록의 모양을 고려하여 상관성이 높은 주변블록의 움직임 정보를 우선 순위로 유도하는 기법을 제안한다. 실험을 통하여 VTM(VVC TM) 대비 제안기법의 성능을 확인한다.

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The versatile conversion of lactam to the a-alkylated amines via cyclic N.O-acetal TMS ether

  • Suh, Young-Ger;Kim, Seok-Ho;Jung, Jae-Kyung;Shin, Dong-Yun;Lee, Do-Sang;Baek, Seung-Mann
    • 대한약학회:학술대회논문집
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    • 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
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    • pp.340.2-340.2
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    • 2002
  • As a part of our continuing studies directed toward the synthesis of the medium to macrolactam alkaloids, we have been interested in the versatile functionalization of the lactam carbonyl. Synthetic routes involving cyclic N-acyliminium ions are generally useful strategies that have been applied for a wide variety of synthetic transformation. Especially, the use of a-alkoxy azacycles as precursors to cyclic N-acyliminium ions was well reviewed. (omitted)

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A Versatile Medical Image Enhancement Algorithm Based on Wavelet Transform

  • Sharma, Renu;Jain, Madhu
    • Journal of Information Processing Systems
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    • 제17권6호
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    • pp.1170-1178
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    • 2021
  • This paper proposed a versatile algorithm based on a dual-tree complex wavelet transform for intensifying the visual aspect of medical images. First, the decomposition of the input image into a high sub-band and low-sub-band image is done. Further, to improve the resolution of the resulting image, the high sub-band image is interpolated using Lanczos interpolation. Also, contrast enhancement is performed by singular value decomposition (SVD). Finally, the image reconstruction is achieved by using an inverse wavelet transform. Then, the Gaussian filter will improve the visual quality of the image. We have collected images from the hospital and the internet for quantitative and qualitative analysis. These images act as a reference image for comparing the effectiveness of the proposed algorithm with the existing state-of-the-art. We have divided the proposed algorithm into several stages: preprocessing, contrast enhancement, resolution enhancement, and visual quality enhancement. Both analyses show the proposed algorithm's effectiveness compared to existing methods.

Directed Evolution of a β-Glucosidase for Improved Functions as a Reporter in Protein Expression

  • Lim, Ho-Dong;Han, So-Young;Park, Gi-Hye;Cheong, Dae-Eun;Kim, Geun-Joong
    • 한국미생물·생명공학회지
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    • 제50권2호
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    • pp.240-244
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    • 2022
  • Precisely reliable and quantitative reporters can provide phenotypes that are consistent with research goals in protein expression. Here, we developed an improved reporter mATglu III 5 by directed evolution using a versatile β-glucosidase ATglu derived from Agrobacterium tumefaciens. When expressed in hosts, a vector containing this mutant distinctly showed a colored or fluorescent phenotype, according to the supplemented substrate, without any inducer. Analysis of mATglu III 5 showed it to be fully functional in fusion state with oligomeric proteins, especially under non-induction conditions, thereby offering an alternative to conventional reporters.

VVC 의 다중 변환 선택을 고려한 신경망 기반 화면내 예측 (Neural Network-Based Intra Prediction Considering Multiple Transform Selection in Versatile Video Coding )

  • 박도현;문기화;임성창;김재곤
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 추계학술대회
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    • pp.8-9
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    • 2022
  • 최근 VVC(Versatile Video Coding) 표준 완료 이후 JVET(Joint Video Experts Team)에서는 NNVC(Neural Network-based Video Coding) EE(Exploration Experiment)를 통하여 화면내 예측을 포함한 신경망 기반의 부호화 기술들을 탐색하고 검증하고 있다. 본 논문에서는 VVC 에 채택되어 있는 다중 변환 선택(MTS: Multiple Transform Selection)에 따라서 적절한 예측 블록을 선택할 수 있는 TDIP(Transform-Dependent Intra Prediction) 모델을 제안한다. 실험결과 제안기법은 VVC 의 AI(All Intra) 부호화 환경에서 VTM(VVC Test Model) 대비 Y, U, V 에 각각 0.87%, 0.87%, 0.99%의 BD-rate 절감의 비디오 부호화 성능 향상을 보였다.

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