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3rd International Conference on computer Science and Communication Technology, ICCSCT 2022

作者： Sun, Guangyao Zhao, Shenghui Zou, Bochao An, Yubo School of Information and Electronics Beijing Institute of Technology Beijing China School of Computer and Comunication Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9781510661240

Currently, more and more people are suffering from depression with the increase of social pressure, which has become one of the most severe health issues worldwide. Therefore, timely diagonosis of depression is very important. In this paper, a deep feature fusion network is proposed for multimodal depression detection. Firstly, an unsupervised autoencoder based on transformer is applied to derive the sentence-level embedding for the frame-level audiovisual features;then a deep feature fusion network based on a cross-modal transformer is proposed to fuse the text, audio and video features. The experimental results show that the proposed method achieves superior performance compared to state-of-the-art methods on the English database DAIC-WOZ. © 2022 SPIE.

关键词： Feature extraction

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Metric localization for lunar rovers via cross-view image matching

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Visual Intelligence 2024年第1期2卷 1-14页

作者： Chen, Zihao Li, Kunhong Li, Haoran Fu, Zhiheng Zhang, Hanmo Guo, Yulan School of Electronics and Comunication Engineering the Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen 510275 China Peng Cheng Laboratory Guangdong Shenzhen 518055 China Department of Computer Science and Software Engineering The University of Western Australia Perth 6009 Australia Department of Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai Aerospace Control Technology Institute Shanghai 201109 China College of Electronic Science and Technology National University of Defense Technology Hunan Changsha 410073 China

Accurate localization is critical for lunar rovers exploring lunar terrain features. Traditionally, lunar rover localization relies on sensor data from odometers, inertial measurement units and stereo cameras. However, localization errors accumulate over long traverses, limiting the rover’s localization accuracy. This paper presents a metric localization framework based on cross-view images (ground view from a rover and air view from an orbiter) to eliminate accumulated localization errors. First, we employ perspective projection to reduce the geometric differences in cross-view images. Then, we propose an image-based metric localization network to extract image features and generate a location heatmap. This heatmap serves as the basis for accurate estimation of query locations. We also create the first large-area lunar cross-view image (Lunar-CV) dataset to evaluate the localization performance. This dataset consists of 30 digital orthophoto maps (DOMs) with a resolution of 7 m/pix, collected by the Chang’e-2 lunar orbiter, along with 8100 simulated rover panoramas. Experimental results on the Lunar-CV dataset demonstrate the superior performance of our proposed framework. Compared to the second best method, our method significantly reduces the average localization error by 26% and the median localization error by 22%. © The Author(s) 2024.

关键词： Aerial patch Cross-view metric localization (CVML) Lunar rover Panorama Perspective projection

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3D plants reconstruction based on point cloud

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International Journal of Performability engineering 2018年第1期14卷 121-133页

作者： Zeng, Lanling Zhang, LingLing Yang, Yang Zhang, Wei Zhan, Yongzhao School of Computer Science and Comunication Engineering Jiangsu University Zhenjiang212001 China Department of Information and Comunication Jiangsu Wuzhong Secondary Vocational School Suzhou215000 China

Plant modeling based on point cloud is more difficult than others because of the noise-edge bonding. We present a method called the limited detail multi-density plants modeling to address these problems mentioned above. The core of the proposed method is a point-to-surface approach, which constantly refines the density of points with original RGB information to generate the fuzzy surface. Compared to conventional plants mesh models, the primary advantage of our approach is that it does not compute the steps of texture and illumination, and saves rendering time and storage space. We validate our method with both leaves and simple plants, and demonstrate that the limited detail multi-density point reconstruction is feasible, and it can generate good results with fast speed while using less storage space. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Textures

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Modeling of 1D graphene based on LTJEC-FDTD method

Modeling of 1D graphene based on LTJEC-FDTD method

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Mohaira Ahmad Lixia Yang School of Computer Science and Comunication Engineering Jiangsu University Zhenjiang China School of Electrical Engineering and Computer Science National University of Sciences and Technology Islamabad Pakistan

ISBN: (纸本)9781509047444

A method for modeling of graphene sheets using finite-difference time-domain method based on Laplace transform current density convolution (LTJEC-FDTD) has been proposed. The modeling of graphene sheets is achieved by obtaining recursive Maxwell's equations of tangential electric field components on graphene and current density using LTJEC. The proposed numerical formulation is compared with analytical results for validating the results.

关键词： Graphene Time-domain analysis Computational modeling Finite difference methods Mathematical model Numerical models Conductivity

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Shape reconstruction from cross-sections based on free-form deformations

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Journal of Computational Information Systems 2014年第22期10卷 9733-9742页

作者： Liu, Xu Ban, Xiaojuan Huang, Xiaolei Liu, Xi Wang, Xiaokun School of Computer & Comunication Engineering University Science & Technology of Beijing Beijing China Department of Computer Science and Engineering Lehigh University Bethlehem PA United States

We have described a simple approach which introduces free-form deformation to the problem of reconstruction from parallel slices. The approach has the unique ability to handle the non-convex contours, and can establish one-to-one correspondences for the vertices in adjacent contours. The approach consists of three main steps. First, we compute the arrangement of the input slices. Then for each pair of slices we use the free-form deformation to establish the correspondence between the adjacent contours. Finally we stitch the contours together based on the correspondence. Experimental results show that our framework performs well and that can handle complicated situations.

关键词： Deformation

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Shape Reconstruction from Cross-sections based onFree-Form Deformations

Shape Reconstruction from Cross-sections based onFree-Form D...

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2014全国理论计算机科学学术年会

作者： Xu Liu Xiaojuan Ban Xi Liu Xiaokun Wang School of Computer & Comunication Engineering University Science&Technology of Beijing

We have described a simple approach which introduces free-form deformation to the problem of reconstruction from parallel *** approach has the unique ability to handle the non-convex contours,and can establish one-to-one correspondences for the vertices in adjacent *** approach consists of three main ***,we compute the arrangement of the input *** for each pair of slices we use the free-form deformation to establish the correspondence between the adjacent *** we stitch the contours together based on the *** results show that our framework performs well and that can handle complicated situations.

关键词： Reconstruction Surface Interpolation Free-Form Deformation Correspondence

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Fast Motion Estimation Scheme for H.264/AVC Using Adaptive Single and Multiple Reference Picture Selections

Fast Motion Estimation Scheme for H.264/AVC Using Adaptive S...

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2011 International Conference on Power Electronics and engineering Application

作者： Jeong-Su Oh Dong-Wook Kim Jin-Tae Kim Dept. Image Science and Engineering Pukyung National University School of Electrical Electronic and Information Comunication Eng.Jeonju University Dept. Computer and Information Engineering Hanseo University

In video coding standard of H.264/AVC, motion estimation(ME) using multiple reference pictures improves compression efficiency considerably. However, the motion estimation includes a large amount of useless computations regardless of picture contents. This paper proposes a fast motion estimation algorithm that removes the worthless computations in the motion estimation process with switching single and multiple reference pictures adaptively. The proposed algorithm classifies blocks into valid and invalid blocks for the multiple references based ME, and removes the unnecessary computations by applying a single reference based ME to the invalid blocks. In order to evaluate the performance of the proposed algorithm, measures with respects to image quality, bit rate, and motion estimation time are compared with those of the scheme in a reference software JM 9.5. The simulation results show that the proposed algorithm can considerably save 39% on average motion estimation time while keeping the image quality(0.025 d B degradation) and the bit rate(0.8% decrease) as good as the reference algorithm.

关键词： motion estimation,multiple reference pictures,image complexity,predicted motion vector,H.264/AVC

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Fast Motion Estimation Scheme for H.264/AVC Using Adaptive Single and Multiple Reference Picture Selections

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Procedia engineering 2011年 23卷 572-577页

作者： Jeong-Su Oh Dong-Wook Kim Jin-Tae Kim Department Image Science and Engineering Pukyung National University Pusan 608-739 Korea School of Electrical Electronic and Information Comunication Eng. Jeonju University Jeonju 560-759 Korea Department Computer and Information Engineering Hanseo University Seosan 356-706 Korea

In video coding standard of H.264/AVC, motion estimation (ME) using multiple reference pictures improves compression efficiency considerably. However, the motion estimation includes a large amount of useless computations regardless of picture contents. This paper proposes a fast motion estimation algorithm that removes the worthless computations in the motion estimation process with switching single and multiple reference pictures adaptively. The proposed algorithm classifies blocks into valid and invalid blocks for the multiple references based ME, and removes the unnecessary computations by applying a single reference based ME to the invalid blocks. In order to evaluate the performance of the proposed algorithm, measures with respects to image quality, bit rate, and motion estimation time are compared with those of the scheme in a reference software JM 9.5. The simulation results show that the proposed algorithm can considerably save 39% on average motion estimation time while keeping the image quality (0.025 dB degradation) and the bit rate (0.8% decrease) as good as the reference algorithm.

关键词： motion estimation multiple reference pictures image complexity predicted motion vector H.264/AVC

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Attribute reduction algorithm of continuous domain decision table based on similar matrix

Attribute reduction algorithm of continuous domain decision ...

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2nd Conference on Environmental Science and Information Application Technology, ESIAT 2010

作者： Zhang, Song Fu, Deyue School of Computer Science Sichuan Normal University Chengdu 610068 China Dept. of Comunication Engineering Sichuan Post and Communication College Chengdu 610064 China

ISBN: (纸本)9781424473885

Combining fuzzy set with rough set, attribute reduction algorithm of continuous domain decision table is studied. First, continuous attribute value are transformed into fuzzy value with triangular membership function. And then, similarity degree of two fuzzy objects and similarity class of each fuzzy object are defined, in the meantime, characteristic vector of continuous attribute which is made up of similarity class of each fuzzy object is provided. Next, digital characteristic vector of continuous attributes is presented and similar matrix of continuous attributes is proposed. Finally, a new attribute reduction algorithm is provided. Also, the new algorithm is verified through an illustrative example. ©2010 IEEE.

关键词： Fuzzy sets

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Intelligent allocation algorithms based on parallel processing technology of the computer loads

Intelligent allocation algorithms based on parallel processi...

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2nd Conference on Environmental Science and Information Application Technology, ESIAT 2010

作者： Zhang, Song Fu, Deyue School of Computer Science Sichuan Normal University Chengdu 610068 China Dept. of Comunication Engineering Sichuan Post and Communication College Chengdu 610064 China

ISBN: (纸本)9781424473885

Load stability and the optimization problem is important for efficient parallel processing computer. A smart task allocation algorithm that intelligently select the node status and startup strategies, the total load assigned to the appropriate node to enable communication and processing minimal overhead, load balancing, parallel processing system so that the overall performance of the best, lowest cost;The simulation results show the effectiveness of the proposed model. ©2010 IEEE.

关键词： Parallel processing systems

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