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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Improvement of global motion estimation in two-dimensional digital video stabilisation methods

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Author(s):
Roberto e Souza, Marcos [1] ; Rodrigues da Fonseca, Luiz Fernando [1] ; Pedrini, Helio [1]
Total Authors: 3
Affiliation:
[1] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: IET IMAGE PROCESSING; v. 12, n. 12, p. 2204-2211, DEC 2018.
Web of Science Citations: 0
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. (AU)

FAPESP's process: 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?
Grantee:Alexandre Xavier Falcão
Support Opportunities: Research Projects - Thematic Grants