NDLI: Generalized video deblurring for dynamic scenes

Content Provider	IEEE Xplore Digital Library
Author	Tae Hyun Kim Kyoung Mu Lee
Copyright Year	2015
Description	Author affiliation: Dept. of ECE, Seoul Nat. Univ., Seoul, South Korea (Tae Hyun Kim; Kyoung Mu Lee)
Abstract	Several state-of-the-art video deblurring methods are based on a strong assumption that the captured scenes are static. These methods fail to deblur blurry videos in dynamic scenes. We propose a video deblurring method to deal with general blurs inherent in dynamic scenes, contrary to other methods. To handle locally varying and general blurs caused by various sources, such as camera shake, moving objects, and depth variation in a scene, we approximate pixel-wise kernel with bidirectional optical flows. Therefore, we propose a single energy model that simultaneously estimates optical flows and latent frames to solve our deblurring problem. We also provide a framework and efficient solvers to optimize the energy model. By minimizing the proposed energy function, we achieve significant improvements in removing blurs and estimating accurate optical flows in blurry frames. Extensive experimental results demonstrate the superiority of the proposed method in real and challenging videos that state-of-the-art methods fail in either deblurring or optical flow estimation.
Starting Page	5426
Ending Page	5434
File Size	3575037
Page Count	9
File Format	PDF
ISSN	10636919
e-ISBN	9781467369640
DOI	10.1109/CVPR.2015.7299181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion segmentation Silicon
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Generalized Video Deblurring for Dynamic Scenes

Non-uniform Motion Deblurring for Bilayer Scenes

Ensemble Video Object Cut in Highly Dynamic Scenes

Segmentation-Free Dynamic Scene Deblurring

Joint Motion Segmentation and Background Estimation in Dynamic Scenes

Dynamic Scene Deblurring

Rolling shutter motion deblurring

Optimal segmentation of dynamic scenes from two perspective views

Background recognition in dynamic scenes with motion constraints

Generalized video deblurring for dynamic scenes

Similar Documents

Generalized Video Deblurring for Dynamic Scenes

Non-uniform Motion Deblurring for Bilayer Scenes

Ensemble Video Object Cut in Highly Dynamic Scenes

Segmentation-Free Dynamic Scene Deblurring

Joint Motion Segmentation and Background Estimation in Dynamic Scenes

Dynamic Scene Deblurring

Rolling shutter motion deblurring

Optimal segmentation of dynamic scenes from two perspective views

Background recognition in dynamic scenes with motion constraints

Generalized video deblurring for dynamic scenes