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Modeling in Multi-Resolution and Its Applications

Journal of Computer Science & Technology 2006年第2期21卷 272-278页

作者： Sungchan Kim Kunwoo lee taesik Hong Moonki Jung School of Mechanical and Aerospace Engineering Seoul National University San 56-1 Sillim-Dong Gwanak-Gu Seoul 151-752 Korea

It is becoming common for many designers to work together on very complex assemblies in a collaborative environment. To work efficiently in this environment, the capabilities to simplify the portions of an assembly and to reset it to the original resolution should be added to the current CAD systems. Thus operators realizing multi-resolution on B-rep were proposed in previous work. This paper illustrates a prototype multi-resolution system to integrate the proposed operators and its applications. The multi-resolution system can be used in similarity comparisons to reduce the calculation load and to get the full comparison result in the overall shape. Then the features recognized with this system can be used in more detailed comparisons. This system also can be used conceptually to solve security problems in collaborative design.

关键词： collaborative design level of detail multi-resolution similarity comparison

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Medical Image Compression Method Using Lightweight Multi-Layer Perceptron for Mobile Healthcare Applications

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Computers, Materials & Continua 2022年第1期70卷 2013-2029页

作者： taesik lee Dongsan Jun Sang-hyo Park Byung-Gyu Kim Jungil Yun Kugjin Yun Won-Sik Cheong Kyungnam University Changwon51767Korea Kyungpook National University Daegu41566Korea Sookmyung Women’s University Seoul04310Korea Electronics and Telecommunications Research Institute Daejeon34129Korea

As video compression is one of the core technologies required to enable seamless medical data streaming in mobile healthcare applications,there is a need to develop powerful media codecs that can achieve minimum bitrates while maintaining high perceptual *** Video Coding(VVC)is the latest video coding standard that can provide powerful coding performance with a similar visual quality compared to the previously developed method that is High Efficiency Video Coding(HEVC).In order to achieve this improved coding performance,VVC adopted various advanced coding tools,such as flexible Multi-type Tree(MTT)block structure which uses Binary Tree(BT)split and Ternary Tree(TT)***,VVC encoder requires heavy computational complexity due to the excessive Ratedistortion Optimization(RDO)processes used to determine the optimalMTT block *** this paper,we propose a fast MTT decision method with two Lightweight Neural Networks(LNNs)using Multi-layer Perceptron(MLP),which are applied to determine the early termination of the TT split within the encoding *** results show that the proposed method significantly reduced the encoding complexity up to 26%with unnoticeable coding loss compared to the VVC TestModel(VTM).

关键词： Mobile healthcare video coding complexity reduction multilayer perceptron VVC intra prediction multi-type tree ternary tree neural network

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