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检索条件"任意字段=Conference on Visual Communications and Image Processing 2001"
4148 条 记 录,以下是1231-1240 订阅
排序:
Modeling Human Activities via Long Short Term Memory Networks  27
Modeling Human Activities via Long Short Term Memory Network...
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27th Signal processing and communications Applications conference (SIU)
作者: Solmaz, Berkan Karaman, Kaan Aselsan Res Ctr Artificial Intelligence & Informat Technol Res Pr Ankara Turkey METU Ankara Ctr Image Anal OGAM Metu Ankara Turkey METU Ankara Elect & Elect Engn Dept Metu Ankara Turkey
The presence of rapidly increasing visual data adds importance to the computer vision studies for automatic analysis and interpretation of content. Although the nervous and sensory systems in humans easily perform the... 详细信息
来源: 评论
A QoE-oriented Saliency-Aware Approach for 360-degree Video Transmission  34
A QoE-oriented Saliency-Aware Approach for 360-degree Video ...
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34th IEEE International conference on visual communications and image processing, VCIP 2019
作者: Shen, Wang Ding, Lianghui Zhai, Guangtao Cui, Ying Gao, Zhiyong Shanghai Jiao Tong University Institute of Image Communication and Network Engineering Shanghai China
The tradeoff between bandwidth efficiency and quality of experience (QoE) is a key issue in 360 video transmission. In this paper, we propose a QoE-oriented saliency-Aware 360 video transmission framework to balance t... 详细信息
来源: 评论
Video Super Resolution Using Temporal Encoding ConvLSTM and Multi-Stage Fusion
Video Super Resolution Using Temporal Encoding ConvLSTM and ...
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IEEE visual communications and image processing (VCIP)
作者: Yuhang Zhang Zhenzhong Chen Shan Liu Wuhan University Wuhan China Tencent Media Lab Palo Alto CA USA
Video super resolution is a challenging task and has attracted the attention of many researchers in recent years. In this paper, we propose a multi-stage spatio-temporal feature fusion network. Different from existing... 详细信息
来源: 评论
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation
Unsupervised Feedforward Feature (UFF) Learning for Point Cl...
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IEEE visual communications and image processing (VCIP)
作者: Min Zhang Pranav Kadam Shan Liu C.-C. Jay Kuo Media Communications Lab University of Southern California Los Angeles CA USA Tencent Media Lab Tencent America Palo Alto CA USA
In contrast to supervised backpropagation-based feature learning in deep neural networks (DNNs), an unsupervised feedforward feature (UFF) learning scheme for joint classification and segmentation of 3D point clouds i... 详细信息
来源: 评论
HDR image Compression with Convolutional Autoencoder
HDR Image Compression with Convolutional Autoencoder
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IEEE visual communications and image processing (VCIP)
作者: Fei Han Jin Wang Ruiqin Xiong Qing Zhu Baocai Yin Faculty of Information Technology Beijing University of Technology Beijing China Institute of Digital Media Peking University Beijing China
As one of the next-generation multimedia technology, high dynamic range (HDR) imaging technology has been widely applied. Due to its wider color range, HDR image brings greater compression and storage burden compared ... 详细信息
来源: 评论
Quality of Experience Evaluation for Streaming Video Using CGNN
Quality of Experience Evaluation for Streaming Video Using C...
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IEEE visual communications and image processing (VCIP)
作者: Zhiming Zhou Yu Dong Li Song Rong Xie Lin Li Bing Zhou Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China MIGU Co. Ltd Beijing China
One of the principal contradictions these days in the field of video i s lying between the booming demand for evaluating the streaming video quality and the low precision of the Quality of Experience prediction result... 详细信息
来源: 评论
Multi-view high dynamic range reconstruction via gain estimation  34
Multi-view high dynamic range reconstruction via gain estima...
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34th IEEE International conference on visual communications and image processing, VCIP 2019
作者: Abedi, Firas Liu, Qiong Yang, You Islamic University Computer Technical Engineering Department Najaf54001 Iraq Huazhong University of Science and Technology School of Electronic Information and Communications Wuhan430074 China
Multi-view high dynamic range reconstruction is a challenging problem, especially if the multi-view low dynamic range images are obtained from cameras arranged sparsely with limited shared view of vision among them. I... 详细信息
来源: 评论
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)
Unsupervised Point Cloud Registration via Salient Points Ana...
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IEEE visual communications and image processing (VCIP)
作者: Pranav Kadam Min Zhang Shan Liu C.-C. Jay Kuo University of Southern California Los Angeles CA USA Tencent America Palo Alto CA USA
An unsupervised point cloud registration method, called salient points analysis (SPA), is proposed in this work. The proposed SPA method can register two point clouds effectively using only a small subset of salient p... 详细信息
来源: 评论
A Multiple Triplet-Ranking Model for Fine-Grained Sketch-Based image Retrieval  34
A Multiple Triplet-Ranking Model for Fine-Grained Sketch-Bas...
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34th IEEE International conference on visual communications and image processing, VCIP 2019
作者: Xue, Jingyi Zhou, Yun Jiang, Zhuqing Xie, Yao Li, Xiaoyu Beijing University of Posts and Telecommunications China Academy of Broadcasting Science Beijing China
Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of matching an input sketch with a specific photo containing the same instance. The key challenge of learning a FG-SBIR model is to bridge the ... 详细信息
来源: 评论
Machine Learning for Photometric Redshift Estimation of Quasars with Different Samples
Machine Learning for Photometric Redshift Estimation of Quas...
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IEEE visual communications and image processing (VCIP)
作者: Yanxia Zhang Xin Jin Jingyi Zhang Yongheng Zhao CAS Key Laboratory of Optical Astronomy National Astronomical Observatories Beijing China
We compare the performance of Support Vector Machine, XGBoost, LightGBM, k-Nearest Neighbors, Random forests and Extra-Trees on the photometric redshift estimation of quasars based on the SDSS_WISE sample. For this sa... 详细信息
来源: 评论