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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.)

Motion energy image for evaluation of video stabilization

Full text
Author(s):
Roberto e Souza, Marcos [1] ; Pedrini, Helio [1]
Total Authors: 2
Affiliation:
[1] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: VISUAL COMPUTER; v. 35, n. 12, p. 1769-1781, DEC 2019.
Web of Science Citations: 0
Abstract

Large volumes of video content have been generated through the development of compact and portable cameras. Examples of applications that have been benefited from such growth of multimedia data include business conferencing, telemedicine, surveillance and security, entertainment, distance learning and robotics. Video stabilization 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, we introduce and analyze a novel visual representation based on motion energy image for qualitative evaluation of video stabilization approaches. Experiments conducted on different video sequences are performed to demonstrate the effectiveness of the visual representation as qualitative measure for evaluating video stability. (AU)

FAPESP's process: 17/12646-3 - Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events
Grantee:Anderson de Rezende Rocha
Support Opportunities: Research Projects - Thematic Grants
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