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检索条件"任意字段=2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014"
2409 条 记 录,以下是51-60 订阅
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Supervised Hashing with Extreme Learning Machine
Supervised Hashing with Extreme Learning Machine
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ieee visual communications and image processing (vcip)
作者: Yuan, Tongtong Deng, Weihong Hu, Jiani Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China
Supervised hashing methods, which aim to generate semantic similarity-preserving binary codes, have been proposed to improve the performance of large-scale image retrieval. However, learning binary codes remains an NP... 详细信息
来源: 评论
SMRD: A Local Feature Descriptor for Multi-modal image Registration
SMRD: A Local Feature Descriptor for Multi-modal Image Regis...
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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: Xie, Jiayu Jin, Xin Cao, Hongkun Tsinghua Univ Shenzhen Int Grad Sch Shenzhen Key Lab Broadband Network & Multimedia Shenzhen Peoples R China
image registration among multimodality has received increasing attention in the scope of computer vision and computational photography nowadays. However, the nonlinear intensity variations prohibit the accurate featur... 详细信息
来源: 评论
A Learning-based Approach for Martian image Compression
A Learning-based Approach for Martian Image Compression
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ieee International conference on visual communications and image processing (vcip)
作者: Ding, Qing Xu, Mai Li, Shengxi Deng, Xin Shen, Qiu Zou, Xin Beihang Univ Beijing Peoples R China Nanjing Univ Nanjing Peoples R China Beijing Inst Spacecraft Syst Engn Beijing Peoples R China
For the scientific exploration and research on Mars, it is an indispensable step to transmit high-quality Martian images from distant Mars to Earth. image compression is the key technique given the extremely limited M... 详细信息
来源: 评论
Deformable Convolution Based No-Reference Stereoscopic image Quality Assessment Considering visual Feedback Mechanism
Deformable Convolution Based No-Reference Stereoscopic Image...
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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: Zhou, Mingyue Li, Sumei Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China
Simulation of human visual system (HVS) is very crucial for fitting human perception and improving assessment performance in stereoscopic image quality assessment (SIQA). In this paper, a no-reference SIQA method cons... 详细信息
来源: 评论
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
MAiVAR: Multimodal Audio-image and Video Action Recognizer
MAiVAR: Multimodal Audio-Image and Video Action Recognizer
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ieee International conference on visual communications and image processing (vcip)
作者: Shaikh, Muhammad Bilal Chai, Douglas Islam, Syed Mohammed Shamsul Akhtar, Naveed Edith Cowan Univ 270 Joondalup Dr Perth WA 6027 Australia Univ Western Australia 35 Stirling Highway Perth WA 6009 Australia
Currently, action recognition is predominately performed on video data as processed by CNNs. We investigate if the representation process of CNNs can also be leveraged for multimodal action recognition by incorporatin... 详细信息
来源: 评论
Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized image Compression
Spatial-Channel Context-Based Entropy Modeling for End-to-en...
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ieee International conference on visual communications and image processing (vcip)
作者: Li, Chongxin Luo, Jixiang Dai, Wenrui Li, Chenglin Zou, Junni Xiong, Hongkai Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China
End-to-end optimized image compression has emerged as a disruptive technique to reduce the spatial redundancies with an improved reconstruction quality. However, existing entropy model for latent representations canno... 详细信息
来源: 评论
Optimized MobileNetV2 Based on Model Pruning for image Classification
Optimized MobileNetV2 Based on Model Pruning for Image Class...
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ieee International conference on visual communications and image processing (vcip)
作者: Xiao, Peng Pang, Yuliang Feng, Hao Hao, Yu Xian Univ Posts & Telecommunicat Ctr Image & Informat Proc (CIIP) Xian Peoples R China
Due to the large memory requirement and a large amount of computation, traditional deep learning networks cannot run on mobile devices as well as embedded devices. In this paper, we propose a new mobile architecture c... 详细信息
来源: 评论
Underwater image Enhancement with Multi-Scale Residual Attention Network
Underwater Image Enhancement with Multi-Scale Residual Atten...
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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: Ueki, Yosuke Ikehara, Masaaki Keio Univ EEE Dept Yokohama Kanagawa 2238522 Japan
Underwater images suffer from low contrast, color distortion and visibility degradation due to the light scattering and attenuation. Over the past few years, the importance of underwater image enhancement has increase... 详细信息
来源: 评论
OBJECTIVE QUALITY ASSESSMENT FOR image RETARGETING BASED ON PERCEPTUAL DISTORTION AND INFORMATION LOSS
OBJECTIVE QUALITY ASSESSMENT FOR IMAGE RETARGETING BASED ON ...
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ieee International conference on visual communications and image processing (vcip)
作者: Hsu, Chih-Chung Lin, Chia-Wen Fang, Yuming Lin, Weisi School of Computer Engineering Nanyang Technological University Singapore
image retargeting techniques aim to obtain retargeted images with different sizes or aspect ratios for various display screens. Various content-aware image retargeting algorithms have been proposed recently. However, ... 详细信息
来源: 评论