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检索条件"机构=Key Laboratory of Technology in Geospatial Information Processing and Application System"
549 条 记 录,以下是331-340 订阅
排序:
A CNN-Based In-Loop Filter with CU Classification for HEVC
A CNN-Based In-Loop Filter with CU Classification for HEVC
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IEEE Visual Communications and Image processing (VCIP)
作者: Yuanying Dai Dong Liu Zheng-Jun Zha Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
Lossy compression of image and video yields visually annoying artifacts including blocking, blurring, ringing, etc., especially at low bit rates. In-loop filtering techniques can reduce these artifacts, improve qualit... 详细信息
来源: 评论
SDM: Semantic Distortion Measurement for Video Encryption
SDM: Semantic Distortion Measurement for Video Encryption
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International Conference on Automatic Face and Gesture Recognition
作者: Yongquan Hu Wei Zhou Shuxin Zhao Zhibo Chen Weiping Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Semantic information is important in video encryption. However, existing image quality assessment (IQA) methods, such as the peak signal to noise ratio (PSNR), are still widely applied to measure the encryption securi... 详细信息
来源: 评论
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning
TechRxiv
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TechRxiv 2019年
作者: Huang, Zhongling Dumitru, Corneliu Octavian Pan, Zongxu Lei, Bin Datcu, Mihai The Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Huairou District Beijing101408 China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China Wessling 82234 Germany
The classification of large-scale high-resolution SAR land cover images acquired by satellites is a challenging task, facing several difficulties such as semantic annotation with expertise, changing data characteristi... 详细信息
来源: 评论
Convolutional Neural Network-Based Residue Super-Resolution for Video Coding
Convolutional Neural Network-Based Residue Super-Resolution ...
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IEEE Visual Communications and Image processing (VCIP)
作者: Kang Liu Dong Liu Houqiang Li Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
Inspired by the progress of image and video super-resolution (SR) achieved by convolutional neural network (CNN), we propose a CNN-based residue SR method for video coding. Different from the previous works that opera... 详细信息
来源: 评论
End-to-End Facial Image Compression with Integrated Semantic Distortion Metric
End-to-End Facial Image Compression with Integrated Semantic...
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IEEE Visual Communications and Image processing (VCIP)
作者: Tianyu He Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
High efficient facial image compression is broadly required and challenging for surveillance and security scenarios, while either traditional general image codecs or special facial image compression schemes only heuri... 详细信息
来源: 评论
LEARNED SCALABLE IMAGE COMPRESSION WITH BIDIRECTIONAL CONTEXT DISENTANGLEMENT NETWORK
arXiv
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arXiv 2018年
作者: Zhang, Zhizheng Chen, Zhibo Lin, Jianxin Li, Weiping CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
In this paper, we propose a learned scalable/progressive image compression scheme based on deep neural networks (DNN), named Bidirectional Context Disentanglement Network (BCD-Net). For learning hierarchical represent... 详细信息
来源: 评论
Generative Adversarial Network-Based Frame Extrapolation for Video Coding
Generative Adversarial Network-Based Frame Extrapolation for...
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IEEE Visual Communications and Image processing (VCIP)
作者: Jianping Lin Dong Liu Houqiang Li Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
Motion estimation and motion compensation are fundamental in video coding to remove the temporal redundancy between video frames. The current video coding schemes usually adopt block-based motion estimation and compen... 详细信息
来源: 评论
Learning for video compression
arXiv
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arXiv 2018年
作者: Chen, Zhibo He, Tianyu Jin, Xin Wu, Feng CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into a neural network. In this paper we propose the concept of... 详细信息
来源: 评论
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs
arXiv
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arXiv 2019年
作者: Huang, Zhongling Pan, Zongxu Lei, Bin School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Huairou District Beijing101408 China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing100190 China Institute of Electronics Chinese Academy of Sciences Beijing100190 China
Deep convolutional neural networks (DCNNs) have attracted much attention in remote sensing recently. Compared with the large-scale annotated dataset in natural images, the lack of labeled data in remote sensing become... 详细信息
来源: 评论
RESIDUAL SHUFFLING CONVOLUTIONAL NEURAL NETWORKS for DEEP SEMANTIC IMAGE SEGMENTATION USING MULTI-MODAL DATA
RESIDUAL SHUFFLING CONVOLUTIONAL NEURAL NETWORKS for DEEP SE...
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2018 ISPRS TC II Mid-term Symposium "Towards Photogrammetry 2020"
作者: Chen, K. Weinmann, M. Gao, X. Yan, M. Hinz, S. Jutzi, B. Weinmann, M. Key Laboratory of Spatial Information Processing and Application System Technology Institute of Electronics Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Institute of Computer Science II University of Bonn Bonn Germany Institute of Photogrammetry and Remote Sensing Karlsruhe Institute of Technology Karlsruhe Germany
In this paper, we address the deep semantic segmentation of aerial imagery based on multi-modal data. Given multi-modal data composed of true orthophotos and the corresponding Digital Surface Models (DSMs), we extract... 详细信息
来源: 评论