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While current research predominantly focuses on image-based colorization, the domain of video-based colorization remains relatively unexplored. Most existing video colorization techniques operate on a frame-by-frame basis, often overlooking…

Computer Vision and Pattern Recognition · Computer Science 2024-05-10 Rory Ward , Dan Bigioi , Shubhajit Basak , John G. Breslin , Peter Corcoran

State-of-the-art solutions for Shape-from-Polarization (SfP) suffer from a speed-resolution tradeoff: they either sacrifice the number of polarization angles measured or necessitate lengthy acquisition times due to framerate constraints,…

Computer Vision and Pattern Recognition · Computer Science 2023-04-12 Manasi Muglikar , Leonard Bauersfeld , Diederik Paul Moeys , Davide Scaramuzza

We present a method for stabilizing handheld video that simulates the camera motions cinematographers achieve with equipment like tripods, dollies, and Steadicams. We formulate a constrained convex optimization problem minimizing the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Arwen Bradley , Jason Klivington , Joseph Triscari , Rudolph van der Merwe

Diffusion Transformers for video generation have gained significant research interest since the impressive performance of SORA. Efficient deployment of such generative-AI models on GPUs has been demonstrated with dynamic quantization.…

Computer Vision and Pattern Recognition · Computer Science 2025-06-18 Sanghyun Yi , Qingfeng Liu , Mostafa El-Khamy

We present a novel approach for image-animation of a source image by a driving video, both depicting the same type of object. We do not assume the existence of pose models and our method is able to animate arbitrary objects without the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Yoav Shalev , Lior Wolf

In this paper we introduce a new camera localization strategy designed for image sequences captured in challenging industrial situations such as industrial parts inspection. To deal with peculiar appearances that hurt standard 3D…

Computer Vision and Pattern Recognition · Computer Science 2021-07-08 Hajime Taira , Koki Onbe , Naoyuki Miyashita , Masatoshi Okutomi

Prior art has shown it is possible to estimate, through image processing and computer vision techniques, the types and parameters of transformations that have been applied to the content of individual images to obtain new images. Given a…

Computer Vision and Pattern Recognition · Computer Science 2018-01-24 Daniel Moreira , Aparna Bharati , Joel Brogan , Allan Pinto , Michael Parowski , Kevin W. Bowyer , Patrick J. Flynn , Anderson Rocha , Walter J. Scheirer

The orientation in which a source image is captured can affect the resulting security in downstream applications. One reason for this is that many state-of-the-art methods in media security assume that image statistics are similar in the…

Cryptography and Security · Computer Science 2024-06-24 Benedikt Lorch , Rainer Böhme

The most prevalent routine for camera calibration is based on the detection of well-defined feature points on a purpose-made calibration artifact. These could be checkerboard saddle points, circles, rings or triangles, often printed on a…

Computer Vision and Pattern Recognition · Computer Science 2020-03-23 Morten Hannemose , Jakob Wilm , Jeppe Revall Frisvad

With the immense number of videos being uploaded to the video sharing sites, issue of copyright infringement arises with uploading of illicit copies or transformed versions of original video. Thus safeguarding copyright of digital media has…

Computer Vision and Pattern Recognition · Computer Science 2016-10-31 Sanket Shinde , Girija Chiddarwar

Accurate camera calibration is a precondition for many computer vision applications. Calibration errors, such as wrong model assumptions or imprecise parameter estimation, can deteriorate a system's overall performance, making the reliable…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Annika Hagemann , Moritz Knorr , Holger Janssen , Christoph Stiller

Identifying moving objects in a video sequence, which is produced by a static camera, is a fundamental and critical task in many computer-vision applications. A common approach performs background subtraction, which identifies moving…

Computer Vision and Pattern Recognition · Computer Science 2013-05-02 Dina Dushnik , Alon Schclar , Amir Averbuch

Many compelling video processing effects can be achieved if per-pixel depth information and 3D camera calibrations are known. However, the success of such methods is highly dependent on the accuracy of this "scene-space" information. We…

Computer Vision and Pattern Recognition · Computer Science 2021-02-08 Felix Klose , Oliver Wang , Jean-Charles Bazin , Marcus Magnor , Alexander Sorkine-Hornung

Although many advances have been made in light-field and camera-array image processing, there is still a lack of thorough analysis of the localisation accuracy of different multi-camera systems. By considering the problem from a…

Computer Vision and Pattern Recognition · Computer Science 2016-02-25 Alireza Ghasemi , Adam Scholefield , Martin Vetterli

We present a new certification method for image and point cloud segmentation based on randomized smoothing. The method leverages a novel scalable algorithm for prediction and certification that correctly accounts for multiple testing,…

Machine Learning · Computer Science 2022-07-28 Marc Fischer , Maximilian Baader , Martin Vechev

Applying an image processing algorithm independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel and general approach for blind video temporal consistency. Our…

Computer Vision and Pattern Recognition · Computer Science 2022-01-28 Chenyang Lei , Yazhou Xing , Hao Ouyang , Qifeng Chen

Generating videos guided by camera trajectories poses significant challenges in achieving consistency and generalizability, particularly when both camera and object motions are present. Existing approaches often attempt to learn these…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Guojun Lei , Chi Wang , Yikai Wang , Hong Li , Ying Song , Weiwei Xu

Most scenes are illuminated by several light sources, where the traditional assumption of uniform illumination is invalid. This issue is ignored in most color constancy methods, primarily due to the complex spatial impact of multiple light…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Umut Cem Entok , Firas Laakom , Farhad Pakdaman , Moncef Gabbouj

The continuous growth of technologies like 4G or 5G has led to a massive use of mobile devices such as smartphones and tablets. This phenomenon, combined with the fact that people use mobile phones for a longer period of time, results in…

Cryptography and Security · Computer Science 2024-02-14 Raquel Ramos López , Ana Lucila Sandoval Orozco , Luis Javier García Villalba

Applying image processing algorithms independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel and general approach for blind video temporal consistency. Our…

Computer Vision and Pattern Recognition · Computer Science 2020-10-23 Chenyang Lei , Yazhou Xing , Qifeng Chen
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