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Content Provider | IET Digital Library |
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Author | Souza, Marcos Roberto e Fonseca, Luiz Fernando Rodrigues da Pedrini, Helio |
Abstract | A large amount of video content has been produced by compact and portable cameras. Several applications have been benefited from such growth of multimedia data, such as telemedicine, business conferencing, surveillance and security, entertainment, distance learning, and robotics. Video stabilisation is the process of detecting and removing undesired motion or instabilities from a video stream caused during the acquisition stage when handling the camera. In this work, the authors introduce and analyse a novel approach that identifies failures in the global motion estimation of the camera by means of local features. Moreover, they propose an optimisation method for computing a new estimate of the corrected motion. Experiments conducted on different video sequences are performed to demonstrate the effectiveness of the developed method. Results obtained with the stabilisation process are compared against the state-of-the-art YouTube method. |
Starting Page | 2204 |
Ending Page | 2211 |
Page Count | 8 |
ISSN | 17519659 |
Volume Number | 12 |
e-ISSN | 17519667 |
Issue Number | Issue 12, Dec (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/12 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5445 |
Journal | IET Image Processing |
Publisher Date | 2018-08-28 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Business Conferencing Camera Compact Cameras Computer Vision And Image Processing Technique Corrected Motion Distance Learning Global Motion Estimation Image Sequence Motion Estimation Multimedia Data Optical, Image And Video Signal Processing Optimisation Method Portable Cameras Stabilisation Process Two-dimensional Digital Video Stabilisation Method Undesired Motion Video Content Video Sequence Video Signal Processing Video Stream Video Streaming YouTube Method |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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