Results 61 to 70 of about 63,443 (285)
Deep Iterative Frame Interpolation for Full-frame Video Stabilization [PDF]
ACM Transactions on Graphics, 2020 Video stabilization is a fundamental and important technique for higher quality videos. Prior works have extensively explored video stabilization, but most of them involve cropping of the frame boundaries and introduce moderate levels of distortion. We present a novel deep approach to video stabilization that can generate video frames without cropping ...
Choi, Jinsoo, Kweon, In So
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Intra-WZ quantization mismatch in distributed video coding [PDF]
, 2011 During the past decade, Distributed Video Coding (DVC) has emerged as a new video coding paradigm, shifting the complexity from the encoder-to the decoder-side.
Deligiannis, Nikos +5 more
core +2 more sources
IEEE Access, 2023 This paper investigates video frame extrapolation, which can predict future frames from current and past frames. Although there have been many studies on video frame extrapolation in recent years, most of them suffer from the unsatisfactory image quality
Tae-Won Ban
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Space-time video super-resolution using long-term temporal feature aggregation
Autonomous Intelligent Systems, 2023 Space-time video super-resolution (STVSR) serves the purpose to reconstruct high-resolution high-frame-rate videos from their low-resolution low-frame-rate counterparts. Recent approaches utilize end-to-end deep learning models to achieve STVSR.
Kuanhao Chen, Zijie Yue, Miaojing Shi
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Video Frame Interpolation without Temporal Priors
, 2021 Video frame interpolation, which aims to synthesize non-exist intermediate frames in a video sequence, is an important research topic in computer vision. Existing video frame interpolation methods have achieved remarkable results under specific assumptions, such as instant or known exposure time.
Zhang, Youjian +2 more
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Video reconstruction from a single motion blurred image using learned dynamic phase coding
Scientific 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
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Stochastic Dynamics for Video Infilling
, 2019 In this paper, we introduce a stochastic dynamics video infilling (SDVI) framework to generate frames between long intervals in a video. Our task differs from video interpolation which aims to produce transitional frames for a short interval between ...
Belhumeur, Peter N. +4 more
core +1 more source
High-speed Video from Asynchronous Camera Array [PDF]
, 2019 This paper presents a method for capturing high-speed video using an asynchronous camera array. Our method sequentially fires each sensor in a camera array with a small time offset and assembles captured frames into a high-speed video according to the ...
Lu, Si
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Advanced Functional Materials, EarlyView.This study presents the BioCLEAR system, a highly transparent and conductive neural electrode array composed of silver nanowires (AgNWs) and doped PEDOT:PSS, enabling neural recordings with minimal optical artifacts. When integrated with a GRIN lens, this cost‐effective neural implant allows simultaneous electrophysiological recording and GCaMP6‐based ...
Dongjun Han +17 more
wiley +1 more source
Deep Learning-Based Luma and Chroma Fractional Interpolation in Video Coding
IEEE Access, 2019 Motion compensated prediction is one of the essential methods to reduce temporal redundancy in inter coding. The target of motion compensated prediction is to predict the current frame from the list of reference frames.
Chi Do-Kim Pham, Jinjia Zhou
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