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检索条件"任意字段=IEEE Visual Communications and Image Processing Conference"
25615 条 记 录,以下是21-30 订阅
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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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2024 conference on visual communications and image processing
作者: Yuan, Desen Wang, Lei Univ Elect Sci & Technol China Chengdu Peoples R 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
ALICE: Adapt your Learnable image Compression modEl for variable bitrates
ALICE: Adapt your Learnable Image Compression modEl for vari...
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2024 conference on visual communications and image processing
作者: Spadaro, Gabriele Ali, Muhammad Salman Presta, Alberto Pilo, Giommaria Bae, Sung-Ho Giraldo, Jhony H. Fiandrotti, Attilio Grangetto, Marco Tartaglione, Enzo Inst Polytech Paris Telecom Paris LTCI Paris France Univ Turin Turin Italy Kyung Hee Univ Yongin South Korea
When training a Learned image Compression model, the loss function is minimized such that the encoder and the decoder attain a target Rate-Distorsion trade-off. Therefore, a distinct model shall be trained and stored ... 详细信息
来源: 评论
AsymLLIC: Asymmetric Lightweight Learned image Compression
AsymLLIC: Asymmetric Lightweight Learned Image Compression
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2024 conference on visual communications and image processing
作者: Wang, Shen Cheng, Zhengxue Feng, Donghui Lu, Guo Song, Li Zhang, Wenjun Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Peoples R China
Learned image compression (LIC) methods often employ symmetrical encoder and decoder architectures, evitably increasing decoding time. However, practical scenarios demand an asymmetric design, where the decoder requir... 详细信息
来源: 评论
Light field depth estimation based on fusion of multi-scale semantic and geometric information
Light field depth estimation based on fusion of multi-scale ...
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2024 conference on visual communications and image processing
作者: Tan, Feng Deng, Huiping Xiang, Sen Wu, Jin Wuhan Univ Sci & Technol Sch Informat Sci & Engn Wuhan Peoples R China
Depth estimation of light field images is a crucial technique in various applications, including 3D reconstruction, autonomous driving, and object tracking. However, current deep-learning methods ignore the geometric ... 详细信息
来源: 评论
Lookup Register-Tables with Interpolation for Effective image Transformation on x86/64 CPUs
Lookup Register-Tables with Interpolation for Effective Imag...
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2024 conference on visual communications and image processing
作者: Kamei, Hirokazu Honda, Soichiro Hayashi, Kohei Maeda, Yoshihiro Fukushima, Norishige Nagoya Inst Technol Grad Sch Engn Nagoya Aichi Japan Shibaura Inst Technol Coll Engn Tokyo Japan
Lookup tables (LUTs) are commonly used to speed up image processing by handling complex mathematical functions like sine and exponential calculations. They are used in various applications such as camera image process... 详细信息
来源: 评论
Enhancing Intra Block Copy Prediction for Plenoptic 2.0 Video Coding under Macropixel Constraints
Enhancing Intra Block Copy Prediction for Plenoptic 2.0 Vide...
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2024 conference on visual communications and image processing
作者: Vinh Van Duong Thuc Nguyen Huu Yim, Jonghoon Jeon, Byeungwoo Sungkyunkwan Univ Dept Elect & Comp Engn Seoul South Korea Samsung Res Seoul South Korea
In this paper we introduce a novel approach to better utilize the intra block copy (IBC) prediction tool in encoding lenslet light field video (LFV) captured using plenoptic 2.0 cameras. Although the IBC tool has been... 详细信息
来源: 评论
Cross-Device image Saliency Detection: Database and Comparative Analysis
Cross-Device Image Saliency Detection: Database and Comparat...
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2024 conference on visual communications and image processing
作者: Ding, Xiaoying Yue, Guanghui Zhang, Yingxue Zhongnan Univ Econ & Law Sch Informat Engn Wuhan Peoples R China Shenzhen Univ Med Sch Sch Biomed Engn Shenzhen Peoples R China Tianjin Univ Sci & Technol Coll Artificial Intelligence Tianjin Peoples R China
While saliency detection for images has been extensively studied during the past decades, only a little work explores the influence of different viewing devices (i.e., tablet computer, mobile phone) towards human visu... 详细信息
来源: 评论
FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Guided by Facial Recognizers
FRIDAY: Mitigating Unintentional Facial Identity in Deepfake...
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2024 conference on visual communications and image processing
作者: Kim, Younghun Kwon, Myung-Joon Lee, Wonjun Kim, Changick Korea Adv Inst Sci & Technol Grad Sch Green Growth & Sustainabil Daejeon South Korea Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon South Korea
Previous Deepfake detection methods perform well within their training domains, but their effectiveness diminishes significantly with new synthesis techniques. Recent studies have revealed that detection models make d... 详细信息
来源: 评论
Frequency-Aware Hierarchical image Compression for Humans and Machines
Frequency-Aware Hierarchical Image Compression for Humans an...
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2024 conference on visual communications and image processing
作者: Luo, Yue Zhang, Zixiang Kuang, Jinhao Yu, Li Huazhong Univ Sci & Technol Wuhan Peoples R China Huazhong Univ Sci & Technol Shenzhen Res Inst Shenzhen Peoples R China
To achieve efficient compression for both human vision and machine perception, scalable coding methods have been proposed in recent years. However, existing methods do not fully eliminate the redundancy between featur... 详细信息
来源: 评论
Variable Bitrate Models For Learned image Compression with Multi-gain units and Weighted Probability Assignment
Variable Bitrate Models For Learned Image Compression with M...
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2024 conference on visual communications and image processing
作者: Wang, Ran Jiang, Wen Sun, Heming Katto, Jiro Waseda Univ Dept Comp Sci & Commun Engn Tokyo Japan Yokohama Natl Univ Fac Engn Yokohama Kanagawa Japan Waseda Univ Waseda Res Inst Sci & Engn Dept Comp Sci & Commun Engn Tokyo Japan
With the advancement of deep learning techniques, learned image compression (LIC) has surpassed traditional compression methods. However, these methods typically require training separate models to achieve optimal rat... 详细信息
来源: 评论