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检索条件"任意字段=Conference on Visual Communications and Image Processing 2001"
4120 条 记 录,以下是371-380 订阅
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Deviation Control for Learned image Compression
Deviation Control for Learned Image Compression
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IEEE visual communications and image processing (VCIP)
作者: Yuqi Li Haotian Zhang Xiaomin Song Zheng Liu Huiming Zheng Li Li Dong Liu University of Science and Technology of China Sichuan Xinshi Chuangwei Ultra HD Technology Co. Ltd
Most approaches in learned image compression follow the transform coding scheme. The characteristics of latent variables transformed from images significantly influence the performance of codecs. In this paper, we pre... 详细信息
来源: 评论
Vision Transformer and Bidirectional RoBERTa: A Hybrid image Captioning Model Between VirTex and CPTR  12th
Vision Transformer and Bidirectional RoBERTa: A Hybrid Imag...
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12th International Advanced Computing conference, IACC 2022
作者: Lam, Khang Nhut Le, Diem-Kieu Thi Ngo, Truong Dinh Kalita, Jugal Can Tho University Can Tho Viet Nam University of Colorado Colorado Springs United States
image captioning neural networks are trained simultaneously on image recognition sub-models and natural language processing sub-models to generate description sentences for images. This paper presents several image ca... 详细信息
来源: 评论
An Efficient Method for Real-Time image Exposure Correction
An Efficient Method for Real-Time Image Exposure Correction
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IEEE visual communications and image processing (VCIP)
作者: Jie Yang Yuantong Zhang Daiqin Yang Zhenzhong Chen School of Remote Sensing and Information Engineering Wuhan University Wuhan China
Exposure errors in images, including both underexposure and overexposure, significantly diminish images’ contrast and visual appeal. Existing deep learning-based exposure correction methods either require large netwo...
来源: 评论
Low-complexity learning-based intra prediction with direction-dependent adaptive weights for beyond VVC
Low-complexity learning-based intra prediction with directio...
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IEEE visual communications and image processing (VCIP)
作者: Haruhisa Kato Yoshitaka Kidani Kei Kawamura KDDI Research Inc. Saitama Japan
This paper introduces an advanced intra prediction method designed for the Enhanced Compression Model (ECM), which is the reference software for beyond versatile video coding (VVC) standard. It employs a learning-base... 详细信息
来源: 评论
Efficient Context and Saliency Aware Transformer Network for No-Reference image Quality Assessment
Efficient Context and Saliency Aware Transformer Network for...
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IEEE visual communications and image processing (VCIP)
作者: Hui Li Luxi Wang Yingming Li College of Information Science and Electronic Engineering Zhejiang University Hangzhou China
No-Reference image Quality Assessment (NR-IQA) aims to estimate the perceptual image quality without access to reference images. To deal with it effectively and efficiently, in this work we propose a Context and Salie...
来源: 评论
An Efficient ConvNet for Learned image Compression with Transformer-Style Architecture
An Efficient ConvNet for Learned Image Compression with Tran...
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IEEE visual communications and image processing (VCIP)
作者: Haihang Ruan Feng Wang Yan Wang Institute for AI Industry Research (AIR) Tsinghua University School of Electronic and Computer Engineering Peking University
Recently, transformer-based and convolution-based methods have achieved significant results in learned image compression. By comparing the design of convolutional network (convnet) and transformers, we replace the sel...
来源: 评论
Using Regularity Unit As Guidance For Summarization-Based image Resizing
Using Regularity Unit As Guidance For Summarization-Based Im...
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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: Hsiao, Fang-Tsung Lin, Yi-Hsien Lu, Yi-Chang Natl Taiwan Univ Dept Elect Engn Taipei 10617 Taiwan Natl Taiwan Univ Grad Inst Elect Engn Taipei 10617 Taiwan
In this paper, we propose a novel algorithm for summarization-based image resizing. In the past, a process of detecting precise locations of repeating patterns is required before the pattern removal step in resizing. ... 详细信息
来源: 评论
An image Retrieval System Using Deep Learning to Extract High-Level Features  14th
An Image Retrieval System Using Deep Learning to Extract Hig...
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14th International conference on Computational Collective Intelligence (ICCCI)
作者: Jabnoun, Jihed Haffar, Nafaa Zrigui, Ahmed Nsir, Sirine Nicolas, Henri Trigui, Aymen Univ Monastir Res Lab Algebra Numbers Theory & Intelligent Syst Monastir Tunisia Univ Bordeaux LaBRI Lab Talence France DB Consulting 4 Rue Simone de Beauvoir F-94140 Alfortville France
The usual procedure used in Content Based image retrieval (CBIR), is to extract some useful low-level features such as color, texture and shape from the query image and retrieve images that have a similar set of featu... 详细信息
来源: 评论
KonIQ-10k-LT: Overcoming Score Priors in Blind image Quality Assessment Under Imbalanced Distributions
KonIQ-10k-LT: Overcoming Score Priors in Blind Image Quality...
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IEEE visual communications and image processing (VCIP)
作者: Desen Yuan Lei Wang University of Electronic Science and Technology of China
Blind image Quality Assessment (BIQA) is essential in computational vision for predicting the visual quality of digital images without reference counterparts. Despite advancements through convolutional neural networks... 详细信息
来源: 评论
Effect of latency on social presence in traditional video conference and VR conference: a comparative study
Effect of latency on social presence in traditional video co...
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IEEE visual communications and image processing (VCIP)
作者: Shengnan Wang Jiarun Song Anthony Trioux Miao Wang Yusong Gao Fuzheng Yang School of Telecommunications Engineering Xidian University Xi’an China
Virtual reality (VR) conference, as a typical social VR application, has gained popularity in recent years. It offers users located at different locations a fully immersive experience and a sense of togetherness. Howe...
来源: 评论