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检索条件"任意字段=Conference on Visual Communications and Image Processing 2001"
4135 条 记 录,以下是331-340 订阅
排序:
Learn to overfit better: finding the important parameters for learned image compression
Learn to overfit better: finding the important parameters fo...
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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, Honglei Cricri, Francesco Tavakoli, Hamed Rezazadegan Santamaria, Maria Lam, Yat-Hong Hannuksela, Miska M. Nokia Technol Espoo Finland
For most machine learning systems, overfitting is an undesired behavior. However, overfitting a model to a test image or a video at inference time is a favorable and effective technique to improve the coding efficienc... 详细信息
来源: 评论
CRC-Based Multi-Error Correction of H.265 Encoded Videos in Wireless communications
CRC-Based Multi-Error Correction of H.265 Encoded Videos in ...
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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: Boussard, Vivien Coulombe, Stephane Coudoux, Francois-Xavier Corlay, Patrick Trioux, Anthony Ecole Technol Super Dept Software & IT Engn Montreal PQ Canada Univ Lille CNRS UPHF ISENCent LilleUMR 8520IEMNDOAE Valenciennes France
This paper analyzes the benefits of extending CRC-based error correction (CRC-EC) to handle more errors in the context of error-prone wireless networks. In the literature, CRC-EC has been used to correct up to 3 binar... 详细信息
来源: 评论
The Steganographic Method of Introducing Additional Information, Resistant to Transcoding and Conversion
The Steganographic Method of Introducing Additional Informat...
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2022 Systems of Signals Generating and processing in the Field of on Board communications, SOSG 2022
作者: Drebuzhan, A.M. Nezhivleva, K.I. Potashnikov, A.M. Vlasuyk, I.V. Mozhaeva, A.I. Moscow Technical University of Communications and Informatics Moscow Russia University of Waikato Hamilton New Zealand
In many current videos is necessary to include hidden information. It can be done with the use of steganography. Steganography is based on the limited capabilities of human senses, which is why people are not able to ... 详细信息
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Learning in Compressed Domain for Faster Machine Vision Tasks
Learning in Compressed Domain for Faster Machine Vision Task...
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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: Liu, Jinming Sun, Heming Katto, Jiro Waseda Univ Dept Comp Sci & Commun Engn Tokyo Japan Waseda Univ Waseda Res Inst Sci & Engn Tokyo Japan JST PRESTO 4-1-8 Honcho Kawaguchi Saitama Japan
Learned image compression (LIC) has illustrated good ability for reconstruction quality driven tasks (e.g. PSNR, MS-SSIM) and machine vision tasks such as image understanding. However, most LIC frameworks are based on... 详细信息
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Detection and classification of painting defects using deep learning  36
Detection and classification of painting defects using deep ...
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36th International Technical conference on Circuits/Systems, Computers and communications (ITC-CSCC)
作者: Adachi, Kazune Natori, Takahiro Aikawa, Naoyuki Tokyo Univ Sci Tokyo Japan
In the visual inspection, the quality assurance is difficult, because the dispersion occurs in the result by skill and fatigue degree of the inspector. Recently, a visual inspection method by image processing using de... 详细信息
来源: 评论
Deep Motion Flow Aided Face Video De-identification
Deep Motion Flow Aided Face Video De-identification
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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: Wen, Yunqian Liu, Bo Xie, Rong Cao, Jingyi Song, Li Shanghai Jiao Tong Univ Inst Image Commun & Network Engn Shanghai Peoples R China Univ Technol Sydney Sch Comp Sci Sydney NSW Australia
Advances in cameras and web technology have made it easy to capture and share large amounts of face videos over to an unknown audience with uncontrollable purposes. These raise increasing concerns about unwanted ident... 详细信息
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Real-Time Implementation of Neural-Network Post-Filters for 4K 60fps VVC Videos
Real-Time Implementation of Neural-Network Post-Filters for ...
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IEEE visual communications and image processing (VCIP)
作者: Daichi Arai Shimpei Nemoto Kazuhisa Iguchi Atsuro Ichigaya Science & Technology Research Laboratories NHK Tokyo Japan
This study investigates the practical performance of neural-network post-filters standardized in ITU-T H.274. We implement neural-network models on a Field-Programmable Gate Array (FPGA), allowing real-time processing... 详细信息
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Feature-Guided Machine-Centric image Coding for Downstream Tasks
Feature-Guided Machine-Centric Image Coding for Downstream T...
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2023 IEEE International conference on Multimedia and Expo Workshops, ICMEW 2023
作者: Kwak, Sangwoon Yun, Joungil Choo, Hyon-Gon Kim, Munchurl Electronics and Telecommunications Research Institute Korea Republic of Korea Advanced Institute of Science and Technology Korea Republic of
Video coding, a process of compressing and decompressing digital video content, has traditionally been optimized for human visual systems by reducing its size while maintaining the human perceptual quality. However, w... 详细信息
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Aerial image Classification with Label Splitting and Optimized Triplet Loss Learning
Aerial Image Classification with Label Splitting and Optimiz...
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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: Liao, Rijun Li, Zhu Bhattacharyya, Shuvra S. York, George Univ Missouri Dept Comp Sci & Elect Engn Kansas City MO 64110 USA Univ Maryland Dept Elect & Comp Engn College Pk MD USA Univ Maryland UMIACS College Pk MD 20742 USA US Air Force Acad Dept Elect & Comp Engn Colorado Springs CO USA US Air Force Acad UAS Res Ctr Colorado Springs CO 80840 USA
With the development of airplane platforms, aerial image classification plays an important role in a wide range of remote sensing applications. The number of most of aerial image dataset is very limited compared with ... 详细信息
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Tone image processing with Discrete Data Structure  1
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1st International Scientific and Practical conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2021
作者: Shornikova, Tatiana A. Gusynina, Yuliya S. Penza State Technological University 1a/11 Baidukova Pas./Gagarina Street Penza440039 Russia
The article focuses on the problem of image processing using a discrete data structure for tone images. The problem of conversion of continuous image into discrete form is considered. Two procedures are described: sel... 详细信息
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