Results 41 to 50 of about 63,443 (285)

Advanced side information creation techniques and framework for Wyner-Ziv video coding [PDF]

open access: yes, 2008
Recently, several distributed video coding (DVC) solutions based on the distributed source coding (DSC) paradigm have appeared in the literature. Wyner-Ziv (WZ) video coding, a particular case of DVC where side information is made available at the ...
Joao Ascenso, Pereira, Fernando
core   +1 more source

Video Frame Interpolation with Flow Transformer

open access: yesProceedings of the 31st ACM International Conference on Multimedia, 2023
Accepted to ACM ...
Pan Gao, Haoyue Tian, Jie Qin
openaire   +2 more sources

Softmax Splatting for Video Frame Interpolation [PDF]

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
CVPR 2020, http://sniklaus.com ...
Niklaus, Simon, Liu, Feng
openaire   +3 more sources

Residual Learning of Video Frame Interpolation Using Convolutional LSTM

open access: yesIEEE Access, 2020
Video frame interpolation aims to generate intermediate frames between the original frames. This produces videos with a higher frame rate and creates smoother motion.
Keito Suzuki, Masaaki Ikehara
doaj   +1 more source

Hierarchical Random Access Coding for Deep Neural Video Compression

open access: yesIEEE Access, 2023
Recently, neural video compression networks have obtained impressive results. However, previous neural video compression models mostly focus on low-delay configuration with the order of display being the same as the order of coding.
Nguyen Van Thang, Le Van Bang
doaj   +1 more source

Multiple description video coding based on zero padding [PDF]

open access: yes, 2004
This paper proposes a simple multiple description video coding approach based on zero padding theory. It is completely based on pre- and post-processing, which require no modifications to the source codec.
Bull, DR   +3 more
core   +2 more sources

Video Frame Interpolation via Adaptive Convolution [PDF]

open access: yes2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Video frame interpolation typically involves two steps: motion estimation and pixel synthesis. Such a two-step approach heavily depends on the quality of motion estimation. This paper presents a robust video frame interpolation method that combines these two steps into a single process.
Niklaus, Simon, Mai, Long, Liu, Feng
openaire   +2 more sources

Exploring Discontinuity for Video Frame Interpolation

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
highlight at CVPR 2023 (10% of accepted papers)
Lee, Sangjin   +4 more
openaire   +2 more sources

Multiple Video Frame Interpolation Method Based on Transformer and Enhanced Deformable Separable Convolution [PDF]

open access: yesJisuanji gongcheng
Existing multiple Video Frame Interpolation (VFI) methods rely on optical flow or Convolutional Neural Networks (CNN) for implementation; however, they struggle to handle scenes with large motions effectively because of the inherent limitations of ...
SHI Changtong, SHAN Hongtao
doaj   +1 more source

Video frame interpolation via residual blocks and feature pyramid networks

open access: yesIET Image Processing, 2023
Various deep learning‐based video frame interpolation methods have been proposed in the past few years, but how to generate high quality interpolated frames in videos with large motions, complex backgrounds and rich textures is still a challenging issue.
Xiaohui Yang   +4 more
doaj   +1 more source

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