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检索条件"任意字段=Conference on Visual Communications and Image Processing 2007"
4985 条 记 录,以下是101-110 订阅
排序:
Polynomial image-Based Rendering for non-Lambertian Objects
Polynomial Image-Based Rendering for non-Lambertian Objects
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IEEE International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Fachada, Sarah Bonatto, Daniele Teratani, Mehrdad Lafruit, Gauthier Univ Libre Bruxelles Lab Image Synth & Anal Brussels Belgium
Non-Lambertian objects present an aspect which depends on the viewer's position towards the surrounding scene. Contrary to diffuse objects, their features move non-linearly with the camera, preventing rendering th... 详细信息
来源: 评论
The Research on the Impact of visual image Perception in a User Interface on Typeface Design  5
The Research on the Impact of Visual Image Perception in a U...
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5th International conference on Imaging, Signal processing and communications (ICISPC)
作者: Cao, Yang Hunan Normal Univ Fine Arts Acad Changsha Peoples R China
Nowadays, Typeface plays an increasingly important role in dynamic digital interfaces, but there still has little direct evaluation of visual image perception related to the typeface design, especially for the use in ... 详细信息
来源: 评论
Nearly Reversible image-to-image Translation Using Joint Inter-Frame Coding and Embedding
Nearly Reversible Image-to-Image Translation Using Joint Int...
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IEEE International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Cao, Xinzhu Yao, Yuanzhi Yu, Nenghai Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei 230027 Peoples R China
image-to-image translation tasks which have been widely investigated with generative adversarial networks (GAN) aim to map an image from the source domain to the target domain. The translated image can be inversely ma... 详细信息
来源: 评论
An Error Self-learning Semi-supervised Method for No-reference image Quality Assessment
An Error Self-learning Semi-supervised Method for No-referen...
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IEEE International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Feng, Yingjie Li, Sumei Hao, Sihan Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China
In recent years, deep learning has achieved significant progress in many respects. However, unlike other research fields with millions of labeled data such as image recognition, only several thousand labeled images ar... 详细信息
来源: 评论
A NEW APPROACH FOR image WATERMARKING BY USING PARTICLE SWARM OPTIMIZATION
A NEW APPROACH FOR IMAGE WATERMARKING BY USING PARTICLE SWAR...
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IEEE International conference on Signal processing and communications
作者: Vahedi, Ehsan Lucas, Caro Zoroofi, Reza Aghaeizade Shiva, Mohsen Univ Tehran Sch Elect & Comp Engn Tehran 14174 Iran CIPCE Madrid Spain
In this paper, the authors propose a new procedure for copyright protection by using a bio-inspired wavelet based data hiding approach. The proposed method takes advantage of Human visual System (HVS) characteristics ... 详细信息
来源: 评论
MSCI: A Multi-Source Composite image Database for Compression Distortion Quality Assessment
MSCI: A Multi-Source Composite Image Database for Compressio...
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IEEE International conference on visual communications and image processing (VCIP)
作者: Zhang, Xiaofang Xu, Zhuowei Lin, Zhiheng Wang, Miaohui Shenzhen Univ Coll Informat & Elect Engn Shenzhen Peoples R China Jimei Univ Coll Marine Equipment & Mech Engn Xiamen Peoples R China
With the rapid development of multi-sensor fusion technology in various industrial fields, many composite images closely related to human life have been produced. To meet the rapidly growing needs of various image-bas... 详细信息
来源: 评论
Fast and Context-Aware Framework for Space-Time Video Super-Resolution
Fast and Context-Aware Framework for Space-Time Video Super-...
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IEEE International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Zhang, Xueheng Chen, Li Song, Li Gao, Zhiyong Shanghai Jiao Tong Univ Inst Image Commun & Network Engn Shanghai Peoples R China
Increasing the spatial resolution and frame rate of a video simultaneously has attracted attention in recent years. The current one-stage space-time video super-resolution (STVSR) methods are difficult to deal with la... 详细信息
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A Weighted Mean Absolute Error Metric for image Quality Assessment
A Weighted Mean Absolute Error Metric for Image Quality Asse...
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IEEE International conference on visual communications and image processing (VCIP)
作者: Hao, Sihan Li, Sumei Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China
Pixel-wise image quality assessment (IQA) algorithms, such as mean square error (MSE), mean absolute error (MAE) and peak signal-to-noise ratio (PSNR) correlate well with perceptual quality when dealing with images sh... 详细信息
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View interpolation by inverse filtering: Generating the center view using multiview images of circular camera array
View interpolation by inverse filtering: Generating the cent...
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conference on visual communications and image processing 2007
作者: Kubota, Akira Kodama, Kazuya Hatori, Yoshinori Tokyo Inst Technol Midori Ku Yokohama Kanagawa 227 Japan Natl Inst Informat Tokyo Japan
This paper deals with a view interpolation problem using multiple images captured with a circular camera array. An inverse filtering method for reconstructing a virtual image at the center of the camera array is propo... 详细信息
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An Efficient Content-aware Downsampling-based Video Compression Framework
An Efficient Content-aware Downsampling-based Video Compress...
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IEEE International conference on visual communications and image processing (VCIP)
作者: Jiang, Hao Chen, Li Shanghai Jiao Tong Univ Inst Image Commun & Network Engn Shanghai Peoples R China
Recently, deep learning-based video compression algorithms have achieved competitive performance in Bjontegaard delta (BD) rate, especially those adopting super-resolution networks as post-processing modules in downsa... 详细信息
来源: 评论