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Titlebook: Image and Graphics Technologies and Applications; 16th Chinese Confere Yongtian Wang,Weitao Song Conference proceedings 2021 Springer Natur

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书目名称Image and Graphics Technologies and Applications
副标题16th Chinese Confere
编辑Yongtian Wang,Weitao Song
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Image and Graphics Technologies and Applications; 16th Chinese Confere Yongtian Wang,Weitao Song Conference proceedings 2021 Springer Natur
描述This book constitutes the refereed proceedings of the 16th Conference on Image and Graphics Technologies and Applications, IGTA 2021, held in Beijing, China in June, 2021. The 21 papers presented were carefully reviewed and selected from 86 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR, as well as image technology applications. The volume contains the following thematic blocks: image processing and enhancement techniques (image information acquisition, image/video coding, image/video transmission, image/video storage, compression, completion, dehazing, reconstruction and display, etc.); biometric identification techniques (biometric identification and authentication techniques including face, fingerprint, iris and palm-print, etc.); machine vision and 3D reconstruction (visual information acquisition, camera calibration, stereo vision, 3D reconstruction, and applications of machine vision in industrial inspection, etc.); image/video big data analysis and understanding (object detection and recognition, image/vid
出版日期Conference proceedings 2021
关键词artificial intelligence; computer networks; computer science; computer systems; computer vision; educatio
版次1
doihttps://doi.org/10.1007/978-981-16-7189-0
isbn_softcover978-981-16-7188-3
isbn_ebook978-981-16-7189-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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Classification of Solar Radio Spectrum Based on VGG16 Transfer Learningtion shows that the TPR of the solar radio burst is better than before. The situation has increased by 12.2%. For the overall classification result analysis, the experimental effect is greatly improved on the basis of the original classification.
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A Channel Attention-Based Convolutional Neural Network for Intra Chroma Prediction of H.266rther improve the chroma prediction performance. The proposed CACNN is incorporated into the VVC test model version 8.2 (VTM 8.2). Experimental results demonstrate that comparing with VTM 8.2 anchor, the proposed method can achieve 2.89%, 2.36% chroma components bit rate savings in high QPs.
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Pretrained Self-supervised Material Reflectance Estimation Based on a Differentiable Image-Based Reninetune the pretrained model to improve the performance. The proposed architecture only requires one image as input and the experiments are conducted to evaluate the proposed method on both the synthetic data and real data. The results show that our trained model presents dramatic improvement and verifies the effectiveness of the proposed methods.
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Robust Visual Question Answering Based on Counterfactual Samples and Relationship Perceptionarning appearance language bias during training. And the relationship between image objects perceives semantics. Extensive experiments on the VQA-CP v2 and VQA V2 datasets demonstrate that our proposed model outperforms most state-of-the-art methods.
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Conference proceedings 2021 China in June, 2021. The 21 papers presented were carefully reviewed and selected from 86 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphi
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