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Deep Learning for Early Detection of Cardiovascular Diseases From Medical Imaging. [PDF]
Health Sci RepDavi S +11 more
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Self-Reproducing Video Frame Interpolation
2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019Frame interpolation has recently witnessed success by convolutional neural networks, that are learned from end to end to minimizing the reconstruction loss of dropped frames. This paper introduces a novel self-reproducing mechanism, that the real (given) frames could in turn be interpolated from the interpolated ones, to further substantially improve ...
Jiajun Deng +4 more
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Lap-Based Video Frame Interpolation
2019 IEEE International Conference on Image Processing (ICIP), 2019High-quality video frame interpolation often necessitates accurate motion estimation, which can be obtained using modern optical flow methods. In this paper, we use the recently proposed Local All-Pass (LAP) algorithm to compute the optical flow between two consecutive frames.
Tejas Jayashankar +3 more
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Video Frame Interpolation Via Residue Refinement
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020Video frame interpolation achieves temporal super-resolution by generating smooth transitions between frames. Although great success has been achieved by deep neural networks, the synthesized images stills suffer from poor visual appearance and unsatisfactory artifacts.
Haopeng Li, Yuan Yuan, Qi Wang
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SuperFast: 200× Video Frame Interpolation via Event Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Traditional frame-based video frame interpolation (VFI) methods rely on the linear motion assumption and brightness invariance assumption, which may lead to fatal errors confronting the scenarios with high-speed motions. To tackle the above challenge, inspired by the advantages of event cameras on asynchronously recording brightness changes at each ...
Yue Gao +4 more
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Phase-based frame interpolation for video
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015Standard approaches to computing interpolated (in-between) frames in a video sequence require accurate pixel correspondences between images e.g. using optical flow. We present an efficient alternative by leveraging recent developments in phase-based methods that represent motion in the phase shift of individual pixels.
Simone Meyer +4 more
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Encoder-Assisted Adaptive Video Frame Interpolation
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006In low bandwidth video coding applications, frame rate is reduced to increase the spatial quality of the frames. However, video sequences that are encoded at low frame rates demonstrate motion jerkiness artifacts when displayed. Therefore, a mechanism is required at the decoder to increase the frame rate while keeping an acceptable level of spatial ...
G. Dane, K. El-Maleh, null Yen-Chi Lee
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Video Object Segmentation-aware Video Frame Interpolation
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023Jun-Sang Yoo +2 more
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