Results 21 to 30 of about 738,874 (266)

Video recommendations for the open video project [PDF]

open access: yesProceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, 2005
We describe a DL multimedia recommender system implemented for the Open Video project. Recommendations are generated by a spreading activation algorithm operating on a video network created from log download sequences. We compared the system's recommendations to those generated by a collaborative filtering technique.
Johan Bollen   +3 more
openaire   +2 more sources

Revisiting the “Video” in Video-Language Understanding

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
CVPR 2022 (Oral)
Shyamal Buch   +5 more
openaire   +2 more sources

Unsupervised Video-to-Video Translation

open access: yesCoRR, 2018
Unsupervised image-to-image translation is a recently proposed task of translating an image to a different style or domain given only unpaired image examples at training time. In this paper, we formulate a new task of unsupervised video-to-video translation, which poses its own unique challenges.
Dina Bashkirova, Ben Usman, Kate Saenko
openaire   +2 more sources

Weighted Kernel Filter Based Anti-Air Object Tracking for Thermal Infrared Systems

open access: yesSensors, 2020
Visual object tracking is an important component of surveillance systems and many high-performance methods have been developed. However, these tracking methods tend to be optimized for the Red/Green/Blue (RGB) domain and are thus not suitable for use ...
Chuljoong Kim, Hanseok Ko
doaj   +1 more source

Alleviate Similar Object in Visual Tracking via Online Learning Interference-Target Spatial Structure

open access: yesSensors, 2017
Correlation Filter (CF) based trackers have demonstrated superior performance to many complex scenes in smart and autonomous systems, but similar object interference is still a challenge.
Guokai Shi   +4 more
doaj   +1 more source

An Automatic Multi-Target Independent Analysis Framework for Non-Planar Infrared-Visible Registration

open access: yesSensors, 2017
In this paper, we propose a novel automatic multi-target registration framework for non-planar infrared-visible videos. Previous approaches usually analyzed multiple targets together and then estimated a global homography for the whole scene, however ...
Xinglong Sun   +4 more
doaj   +1 more source

The Impact of IPv6 on Video-to-Video and Mobile Video Communications [PDF]

open access: yes, 2012
New technologies, viewing paradigms and content distribution approaches are about to take the TV/video services industry by storm. Five emerging trends are observable, among which is the worldwide deployment of IP Version 6 (IPv6), that are all related to the next-generation delivery of entertainment-quality video and can be capitalized upon by ...
Latif Ladid, Ioannis P. Chochliouros
openaire   +1 more source

Video quality of video professionals for Video Assisted Referee (VAR)

open access: yesElectronic Imaging, 2023
This work was mainly funded by Fédération Internationale de Football Association (FIFA) and partly supported by the Sweden´s Innovation Agency (VINNOVA, dnr. 2021-02107) through the Celtic-Next project IMMINENCE (C2020/2-2) as well as RISE internal funding. 
Brunnström, Kjell   +6 more
openaire   +2 more sources

Reangle-A-Video: 4D Video Generation as Video-to-Video Translation

open access: yes2025 IEEE/CVF International Conference on Computer Vision (ICCV)
We introduce Reangle-A-Video, a unified framework for generating synchronized multi-view videos from a single input video. Unlike mainstream approaches that train multi-view video diffusion models on large-scale 4D datasets, our method reframes the multi-view video generation task as video-to-videos translation, leveraging publicly available image and ...
Hyeonho Jeong   +2 more
openaire   +2 more sources

Deep Auxiliary Learning for Point Cloud Generation

open access: yesIEEE Access, 2020
Generation point cloud from single image is a classical problem in computer vision. The learning methods for this task often adopt local distance metrics as loss function, which means the generated points are not easy to meet the overall shape ...
Fei Hu   +4 more
doaj   +1 more source

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