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Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning [PDF]

open access: goldIEEE Open Journal of Circuits and Systems, 2021
This Special Section of the IEEE Open Journal of Circuits and Systems is dedicated to a collection of articles on Optimized Image/Video Coding based on Deep Learning, to promote techniques in algorithms, implementations, and applications in this highly ...
Zhibo Chen   +2 more
doaj   +2 more sources

A Discrete Tchebichef Transform Approximation for Image and Video Coding [PDF]

open access: green, 2015
In this paper, we introduce a low-complexity approximation for the discrete Tchebichef transform (DTT). The proposed forward and inverse transforms are multiplication-free and require a reduced number of additions and bit-shifting operations.
Bayer, F. M.   +4 more
core   +2 more sources

Hierarchical Trellis Based Decoder for Total Variation Sequence Detection (TVSD) in Space-Time Trellis Coded (STTC) Wireless Image/Video Communication [PDF]

open access: goldIEEE Access, 2020
This paper proposes a robust reconstruction scheme for image/ video transmission in space-time trellis coding (STTC) based MIMO wireless multimedia sensor networks (WMSN).
Ankit Kudeshia   +3 more
doaj   +2 more sources

Efficient Learned Wavelet Image and Video Coding [PDF]

open access: green2024 IEEE International Conference on Image Processing (ICIP)
Learned wavelet image and video coding approaches provide an explainable framework with a latent space corresponding to a wavelet decomposition. The wavelet image coder iWave++ achieves state-of-the-art performance and has been employed for various compression tasks, including lossy as well as lossless image, video, and medical data compression ...
Meyer, Anna   +2 more
openaire   +3 more sources

Video reconstruction from a single motion blurred image using learned dynamic phase coding [PDF]

open access: goldScientific Reports, 2023
Video reconstruction from a single motion-blurred image is a challenging problem, which can enhance the capabilities of existing cameras. Recently, several works addressed this task using conventional imaging and deep learning.
Erez Yosef, Shay Elmalem, Raja Giryes
doaj   +2 more sources

DRGNet: Enhanced VVC Reconstructed Frames Using Dual-Path Residual Gating for High-Resolution Video [PDF]

open access: yesSensors
In recent years, with the rapid development of the Internet and mobile devices, the high-resolution video industry has ushered in a booming golden era, making video content the primary driver of Internet traffic.
Zezhen Gai, Tanni Das, Kiho Choi
doaj   +2 more sources

Neural network based image and video coding technologies

open access: yesDianxin kexue, 2019
Deep neural networks have achieved tremendous success in artificial intelligence,which makes the broad and in-depth research of neural network resurge in recent years.Recently,the neural network based image and video coding has become one of the front ...
Chuanmin JIA   +3 more
doaj   +3 more sources

Virtual Reality Video Intraframe Prediction Coding Based on Convolutional Neural Network [PDF]

open access: yesJisuanji kexue, 2022
In order to improve the performance of virtual reality video intraframe prediction coding,convolutional neural network algorithm is used to select video frame coding unit(CU) to reduce the complexity of video image coding.Firstly,quantization parameters ...
LIU Yue-hong, NIU Shao-hua, SHEN Xian-hao
doaj   +1 more source

Heterogeneous Distance Learning Based on Kernel Analysis-Synthesis Dictionary for Semi-Supervised Image to Video Person Re-Identification

open access: yesIEEE Access, 2020
Image to video person re-identification (IVPR), i.e., matching between pedestrian video and image, is an important task in practice. Although several methods have been presented for IVPR, most of these methods investigate the IVPR problem under the ...
Xiaoke Zhu   +6 more
doaj   +1 more source

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