Results 21 to 30 of about 1,483,995 (324)
Joint Video Super-Resolution and Frame Interpolation via Permutation Invariance
Sensors, 2023 We propose a joint super resolution (SR) and frame interpolation framework that can perform both spatial and temporal super resolution. We identify performance variation according to permutation of inputs in video super-resolution and video frame ...
Jinsoo Choi, Tae-Hyun Oh
doaj +1 more source
IEEE Open Journal of Signal Processing, 2021 The versatility of recent machine learning approaches makes them ideal for improvement of next generation video compression solutions. Unfortunately, these approaches typically bring significant increases in computational complexity and are difficult to ...
Luka Murn +3 more
doaj +1 more source
Revisiting Event-Based Video Frame Interpolation
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 Dynamic vision sensors or event cameras provide rich complementary information for video frame interpolation. Existing state-of-the-art methods follow the paradigm of combining both synthesis-based and warping networks. However, few of those methods fully respect the intrinsic characteristics of events streams.
Chen, Jiaben +9 more
openaire +2 more sources
Texture-aware Video Frame Interpolation [PDF]
2021 Picture Coding Symposium (PCS), 2021 Temporal interpolation has the potential to be a powerful tool for video compression. Existing methods for frame interpolation do not discriminate between video textures and generally invoke a single general model capable of interpolating a wide range of video content.
Danier, Duolikun, Bull, David
openaire +2 more sources
Luminance Compensation MEMC for Video Frame Interpolation
IEEE Access, 2022 Video frame interpolation is an important technology in digital video processing, which has great impact on users’ viewing experience. In particular, in medical or industrial application scenarios, the accuracy of the frame interpolation algorithm
Zixuan Xu +5 more
doaj +1 more source
Video Frame Interpolation Based on Symmetric and Asymmetric Motions
IEEE Access, 2023 Video frame interpolation is the task to synthesize intermediate frames between consecutive frames to increase the frame rate. Recently, various deep-learning techniques have been proposed to interpolate intermediate frames more reliably.
Whan Choi, Yeong Jun Koh, Chang-Su Kim
doaj +1 more source
Optimizing Video Prediction via Video Frame Interpolation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Video prediction is an extrapolation task that predicts future frames given past frames, and video frame interpolation is an interpolation task that estimates intermediate frames between two frames. We have witnessed the tremendous advancement of video frame interpolation, but the general video prediction in the wild is still an open question. Inspired
Wu, Yue, Wen, Qiang, Chen, Qifeng
openaire +2 more sources
Time Lens: Event-based Video Frame Interpolation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 State-of-the-art frame interpolation methods generate intermediate frames by inferring object motions in the image from consecutive key-frames. In the absence of additional information, first-order approximations, i.e. optical flow, must be used, but this choice restricts the types of motions that can be modeled, leading to errors in highly dynamic ...
Tulyakov, Stepan +6 more
openaire +3 more sources
Multi-Scale Warping for Video Frame Interpolation
IEEE Access, 2021 A novel video interpolation network to improve the temporal resolutions of video sequences is proposed in this work. We develop a multi-scale warping module to interpolate intermediate frames robustly for both small and large motions.
Whan Choi, Yeong Jun Koh, Chang-Su Kim
doaj +1 more source
PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation
Sensors, 2020 LiDAR sensors can provide dependable 3D spatial information at a low frequency (around 10 Hz) and have been widely applied in the field of autonomous driving and unmanned aerial vehicle (UAV).
Haojie Liu +4 more
doaj +1 more source