Results 41 to 50 of about 222,192 (284)
Multiple description video coding based on zero padding [PDF]
, 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
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PhaseNet for Video Frame Interpolation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Most approaches for video frame interpolation require accurate dense correspondences to synthesize an in-between frame. Therefore, they do not perform well in challenging scenarios with e.g. lighting changes or motion blur. Recent deep learning approaches that rely on kernels to represent motion can only alleviate these problems to some extent.
Meyer, Simone +5 more
openaire +2 more sources
Multi-Scale Attention Generative Adversarial Networks for Video Frame Interpolation
IEEE Access, 2020 Video frame interpolation is a fundamental task in computer vision. Recent methods usually apply convolutional neural networks to generate intermediate frame with two consecutive frames as inputs.
Jian Xiao, Xiaojun Bi
doaj +1 more source
YOLBO: You Only Look Back Once–A Low Latency Object Tracker Based on YOLO and Optical Flow
IEEE Access, 2021 One common computer vision task is to track an object as it moves from frame to frame within a video sequence. There are a myriad of applications for such capability and the underlying technologies to achieve this tracking are very well understood.
Daniel S. Kaputa, Brian P. Landy
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Disambiguation for Video Frame Interpolation
, 2023 Existing video frame interpolation (VFI) methods blindly predict where each object is at a specific timestep t ("time indexing"), which struggles to predict precise object movements. Given two images of a baseball, there are infinitely many possible trajectories: accelerating or decelerating, straight or curved.
Zhong, Zhihang +7 more
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Implementation of barycentric resampling for continuous wave searches in gravitational wave data [PDF]
, 2010 We describe an efficient implementation of a coherent statistic for continuous gravitational wave searches from neutron stars. The algorithm works by transforming the data taken by a gravitational wave detector from a moving Earth bound frame to one that
B. F. Schutz +5 more
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Motion-compensated Interpolation Method Based on Codebook [PDF]
Jisuanji gongcheng, 2016 In order to enhance frame rate conversion,a video motion-compensated interpolation method based on Codebook is proposed.In this paper,the Motion Vector(MV) is obtained by using the traditional block matching method.In addition,the Codebook model is used ...
TIAN Xuting,GUO Dan
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Deep Video Frame Interpolation Using Cyclic Frame Generation
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Video frame interpolation algorithms predict intermediate frames to produce videos with higher frame rates and smooth view transitions given two consecutive frames as inputs. We propose that: synthesized frames are more reliable if they can be used to reconstruct the input frames with high quality.
Yu-Lun Liu +3 more
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International Journal of Digital Crime and Forensics, 2022 Motion-compensated frame-interpolation (MCFI), synthesize intermediate frames between input frames guided by estimated motion, can be employed to falsify high bit-rate videos or high frame-rate videos with different frame-rates. Although existing MCFI identification methods have obtained satisfactory results, they are seriously degraded by stronger ...
null xiangling ding +3 more
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A Motion Refinement Network With Local Compensation for Video Frame Interpolation
IEEE Access, 2023 Video frame interpolation (VFI) is a challenging yet promising task that involves synthesizing intermediate frames from two given frames. State-of-the-art approaches have made significant progress by directly synthesizing images using forward optical ...
Kaiqiao Wang, Peng Liu
doaj +1 more source