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检索条件"机构=Key Laboratory of Technology in Geospatial Information and Application System"
823 条 记 录,以下是341-350 订阅
排序:
Fast genetic multi-operator image retargeting
Fast genetic multi-operator image retargeting
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IEEE Visual Communications and Image Processing (VCIP)
作者: Lingling Zhu Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Content-aware image retargeting has attracted substantial research interests in the related research community. However, so far there is still no method can adequately preserve important image contents and structure w... 详细信息
来源: 评论
Three-Dimensional Point-Cloud Plus Patches: Towards Model-Based Image Coding in the Cloud
Three-Dimensional Point-Cloud Plus Patches: Towards Model-Ba...
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IEEE International Conference on Multimedia Big Data (BigMM)
作者: Dong Liu Tong Shao 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
In the era of cloud computing, there are many correlated images in the cloud, joint compression of these images may provide much higher compression ratio than individual coding. Model-based coding is an appealing appr... 详细信息
来源: 评论
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
Global Homography Motion Compensation for Versatile Video Coding
Global Homography Motion Compensation for Versatile Video Co...
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IEEE Visual Communications and Image Processing (VCIP)
作者: Yao Li Zhuoyuan Li Li Li Dong Liu Houqiang Li CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
In Versatile Video Coding (VVC), local affine motion compensation (LAMC) is adopted to handle complex motions, such as rotation and zooming. However, it is inefficient to use LAMC to handle the global motion due to th... 详细信息
来源: 评论
Chain Code-Based Occupancy Map Coding for Video-Based Point Cloud Compression
Chain Code-Based Occupancy Map Coding for Video-Based Point ...
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IEEE Visual Communications and Image Processing (VCIP)
作者: Runyu Yang Ning Yan Li Li Dong Liu Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
In video-based point cloud compression (V-PCC), occupancy map video is utilized to indicate whether a 2-D pixel corresponds to a valid 3-D point or not. In the current design of V-PCC, the occupancy map video is direc... 详细信息
来源: 评论
Improving Compression Artifact Reduction via End-to-End Learning of Side information
Improving Compression Artifact Reduction via End-to-End Lear...
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IEEE Visual Communications and Image Processing (VCIP)
作者: Haichuan Ma Dong Liu Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
We propose to improve neural network-based compression artifact reduction by transmitting side information for the neural network. The side information consists of artifact descriptors that are obtained by analyzing t... 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
Object-based method for optical and SAR images change detection
Object-based method for optical and SAR images change detect...
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IET International Radar Conference 2018, IRC 2018
作者: Wan, Ling Zhang, Tao You, Hongjian Key Laboratory of Technology in Geo-spatial Information Processing and Application System Beijing100190 China Institute of Electronics Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100039 China
This study introduces an automatic method for change detection of multi-sensor remote-sensing images (e.g. optical and synthetic aperture radar (SAR) images). As object-based image analysis can effectively reduce the ... 详细信息
来源: 评论
Deep Learning-Based Nonlinear Transform for HEVC Intra Coding
Deep Learning-Based Nonlinear Transform for HEVC Intra Codin...
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IEEE Visual Communications and Image Processing (VCIP)
作者: Kun Yang Dong Liu Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
In the hybrid video coding framework, transform is adopted to exploit the dependency within the input signal. In this paper, we propose a deep learning-based nonlinear transform for intra coding. Specifically, we inco... 详细信息
来源: 评论
M-LVC: Multiple Frames Prediction for Learned Video Compression
M-LVC: Multiple Frames Prediction for Learned Video Compress...
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Conference on Computer Vision and Pattern Recognition (CVPR)
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
We propose an end-to-end learned video compression scheme for low-latency scenarios. Previous methods are limited in using the previous one frame as reference. Our method introduces the usage of the previous multiple ... 详细信息
来源: 评论