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Related papers: High-speed Video from Asynchronous Camera Array

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Stochastic video prediction models take in a sequence of image frames, and generate a sequence of consecutive future image frames. These models typically generate future frames in an autoregressive fashion, which is slow and requires the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-23 Ananya Kumar , S. M. Ali Eslami , Danilo J. Rezende , Marta Garnelo , Fabio Viola , Edward Lockhart , Murray Shanahan

Synthesizing novel views for urban environments is crucial for tasks like autonomous driving and virtual tours. Compared to object-level or indoor situations, outdoor settings present unique challenges, such as inconsistency across frames…

Computer Vision and Pattern Recognition · Computer Science 2023-11-30 Mreenav Shyam Deka , Lu Sang , Daniel Cremers

Event cameras are novel sensors that report brightness changes in the form of a stream of asynchronous "events" instead of intensity frames. They offer significant advantages with respect to conventional cameras: high temporal resolution,…

Computer Vision and Pattern Recognition · Computer Science 2019-06-19 Henri Rebecq , René Ranftl , Vladlen Koltun , Davide Scaramuzza

This paper proposes a hybrid synthesis method for multi-exposure image fusion taken by hand-held cameras. Motions either due to the shaky camera or caused by dynamic scenes should be compensated before any content fusion. Any misalignment…

Computer Vision and Pattern Recognition · Computer Science 2023-04-11 Ru Li , Guanghui Liu , Bing Zeng , Shuaicheng Liu

The development of data innovation as of late and the expanded limit, has permitted the acquaintance of artificial vision connected with SLAM, offering ascend to what is known as Visual SLAM. The objective of this paper is to build up a…

Computer Vision and Pattern Recognition · Computer Science 2018-10-19 V. I Mebin Jose , D. J Binoj

In this work, we propose using camera arrays coupled with coherent illumination as an effective method of improving spatial resolution in long distance images by a factor of ten and beyond. Recent advances in ptychography have demonstrated…

Computer Vision and Pattern Recognition · Computer Science 2015-11-29 Jason Holloway , M. Salman Asif , Manoj Kumar Sharma , Nathan Matsuda , Roarke Horstmeyer , Oliver Cossairt , Ashok Veeraraghavan

In this paper, we propose a novel video super-resolution method that aims at generating high-fidelity high-resolution (HR) videos from low-resolution (LR) ones. Previous methods predominantly leverage temporal neighbor frames to assist the…

Computer Vision and Pattern Recognition · Computer Science 2021-08-26 Jiyang Yu , Jingen Liu , Liefeng Bo , Tao Mei

In this work, we focus on a challenging task: synthesizing multiple imaginary videos given a single image. Major problems come from high dimensionality of pixel space and the ambiguity of potential motions. To overcome those problems, we…

Computer Vision and Pattern Recognition · Computer Science 2017-06-16 Baoyang Chen , Wenmin Wang , Jinzhuo Wang , Xiongtao Chen

Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. A poor management results in frequent traffic jam, traffic rules violation and fatal road…

Computer Vision and Pattern Recognition · Computer Science 2019-05-28 Sulaiman Khan , Hazrat Ali , Zia Ullah , Mohammad Farhad Bulbul

Wide area surveillance has many applications and tracking of objects under observation is an important task, which often needs high spatio-temporal resolution (HSTR) video for better precision. This paper presents the usage of multiple…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 H. Umut Suluhan , Hasan F. Ates , Bahadir K. Gunturk

Recently, video frame interpolation using a combination of frame- and event-based cameras has surpassed traditional image-based methods both in terms of performance and memory efficiency. However, current methods still suffer from (i)…

Computer Vision and Pattern Recognition · Computer Science 2022-04-26 Stepan Tulyakov , Alfredo Bochicchio , Daniel Gehrig , Stamatios Georgoulis , Yuanyou Li , Davide Scaramuzza

The goal of video segmentation is to turn video data into a set of concrete motion clusters that can be easily interpreted as building blocks of the video. There are some works on similar topics like detecting scene cuts in a video, but…

Computer Vision and Pattern Recognition · Computer Science 2019-03-07 Hajar Sadeghi Sokeh , Vasileios Argyriou , Dorothy Monekosso , Paolo Remagnino

Stack-based high dynamic range (HDR) imaging is a technique for achieving a larger dynamic range in an image by combining several low dynamic range images acquired at different exposures. Minimizing the set of images to combine, while…

Computer Vision and Pattern Recognition · Computer Science 2018-06-21 Peter van Beek

Change detection has been a challenging visual task due to the dynamic nature of real-world scenes. Good performance of existing methods depends largely on prior background images or a long-term observation. These methods, however, suffer…

Computer Vision and Pattern Recognition · Computer Science 2018-11-21 Chao Chen , Sheng Zhang , Cuibing Du

The reconstruction and novel view synthesis of dynamic scenes recently gained increased attention. As reconstruction from large-scale multi-view data involves immense memory and computational requirements, recent benchmark datasets provide…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Moritz Kappel , Vladislav Golyanik , Susana Castillo , Christian Theobalt , Marcus Magnor

The strong temporal consistency of surveillance video enables compelling compression performance with traditional methods, but downstream vision applications operate on decoded image frames with a high data rate. Since it is not…

Multimedia · Computer Science 2024-02-09 Andrew C. Freeman , Ketan Mayer-Patel , Montek Singh

Event cameras are ideally suited to capture High Dynamic Range (HDR) visual information without blur but provide poor imaging capability for static or slowly varying scenes. Conversely, conventional image sensors measure absolute intensity…

Computer Vision and Pattern Recognition · Computer Science 2024-09-02 Ziwei Wang , Yonhon Ng , Cedric Scheerlinck , Robert Mahony

In this work, we propose a novel procedure for video super-resolution, that is the recovery of a sequence of high-resolution images from its low-resolution counterpart. Our approach is based on a "sequential" model (i.e., each…

Computer Vision and Pattern Recognition · Computer Science 2016-02-16 Patrick Héas , Angélique Drémeau , Cédric Herzet

We propose 4Real-Video, a novel framework for generating 4D videos, organized as a grid of video frames with both time and viewpoint axes. In this grid, each row contains frames sharing the same timestep, while each column contains frames…

Computer Vision and Pattern Recognition · Computer Science 2024-12-06 Chaoyang Wang , Peiye Zhuang , Tuan Duc Ngo , Willi Menapace , Aliaksandr Siarohin , Michael Vasilkovsky , Ivan Skorokhodov , Sergey Tulyakov , Peter Wonka , Hsin-Ying Lee

This paper introduces a novel, fast atomic-snapshot protocol for asynchronous message-passing systems. In the process of defining what ``fast'' means exactly, we spot a few interesting issues that arise when conventional time metrics are…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-19 João Paulo Bezerra , Luciano Freitas , Petr Kuznetsov , Matthieu Rambaud
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