Video stabilization: Overview, challenges and perspectives
W Guilluy, L Oudre, A Beghdadi - Signal Processing: Image …, 2021 - Elsevier
Video Stabilization (VS) has been an active area of research in the last two decades. Many
approaches have been successfully proposed and it is time to take a step back and offer a …
approaches have been successfully proposed and it is time to take a step back and offer a …
Video stabilization: A comprehensive survey
Y Wang, Q Huang, C Jiang, J Liu, M Shang, Z Miao - Neurocomputing, 2023 - Elsevier
Video stabilization is one of the most fundamental and challenging tasks in video
processing, which can be widely applied in many areas, such as video surveillance …
processing, which can be widely applied in many areas, such as video surveillance …
ADNet: Attention-guided deformable convolutional network for high dynamic range imaging
In this paper, we present an attention-guided deformable convolutional network for hand-
held multi-frame high dynamic range (HDR) imaging, namely ADNet. This problem …
held multi-frame high dynamic range (HDR) imaging, namely ADNet. This problem …
Content-aware unsupervised deep homography estimation
Homography estimation is a basic image alignment method in many applications. It is
usually conducted by extracting and matching sparse feature points, which are error-prone …
usually conducted by extracting and matching sparse feature points, which are error-prone …
Transfill: Reference-guided image inpainting by merging multiple color and spatial transformations
Image inpainting is the task of plausibly restoring missing pixels within a hole region that is
to be removed from a target image. Most existing technologies exploit patch similarities …
to be removed from a target image. Most existing technologies exploit patch similarities …
Depth-aware multi-grid deep homography estimation with contextual correlation
Homography estimation is an important task in computer vision applications, such as image
stitching, video stabilization, and camera calibration. Traditional homography estimation …
stitching, video stabilization, and camera calibration. Traditional homography estimation …
Deep online video stabilization with multi-grid warping transformation learning
Video stabilization techniques are essential for most hand-held captured videos due to high-
frequency shakes. Several 2D-, 2.5 D-, and 3D-based stabilization techniques have been …
frequency shakes. Several 2D-, 2.5 D-, and 3D-based stabilization techniques have been …
Robust registration for remote sensing images by combining and localizing feature-and area-based methods
Highly accurate registration is one of the essential requirements for numerous applications
of remote sensing images. Toward this end, we have developed a robust algorithm by …
of remote sensing images. Toward this end, we have developed a robust algorithm by …
High dynamic range imaging with context-aware transformer
F Zhou, Z Fu, D Zhang - 2023 International Joint Conference on …, 2023 - ieeexplore.ieee.org
Avoiding the introduction of ghosts when synthesising LDR images as high dynamic range
(HDR) images is a challenging task. Convolutional neural networks (CNNs) are effective for …
(HDR) images is a challenging task. Convolutional neural networks (CNNs) are effective for …
Deep iterative frame interpolation for full-frame video stabilization
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 …
works have extensively explored video stabilization, but most of them involve cropping of the …