The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
L'image panoramique obtenue par assemblage d'images peut présenter des artefacts visibles en raison de la limitation de la précision d'alignement et des défauts des systèmes optiques. De plus, les algorithmes d’assemblage d’images conventionnels ne peuvent pas être directement appliqués à un assemblage vidéo en temps réel en raison de leur complexité et des artefacts d’ondulation. Dans cet article, nous proposons un algorithme d'assemblage en temps réel sensible au contenu qui non seulement trouve une couture en utilisant une recherche de chemin basée sur la méthode gloutonne, mais met également à jour de manière adaptative la couture en détectant les objets se déplaçant vers la couture. Les résultats expérimentaux montrent que l'algorithme proposé peut produire avec succès des séquences vidéo assemblées sans les artefacts d'ondulation et de fantôme que l'on trouve couramment dans les algorithmes d'assemblage conventionnels.
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Kwang-Wook LEE, Seung-Won JUNG, Seung-Kyun KIM, Sung-Jea KO, "A Novel Content-Aware Stitching Algorithm for Real-Time Video Sequences" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 2, pp. 357-362, February 2011, doi: 10.1587/transinf.E94.D.357.
Abstract: The panorama image obtained by image stitching can have visible artifacts due to the limitation of alignment accuracy and defects of the optical systems. Moreover, conventional image stitching algorithms cannot be directly applied to a real-time video stitching due to its complexity and waving artifacts. In this paper, we propose a real-time content-aware stitching algorithm which not only finds a seam by using path searching based on the greedy method, but also adaptively updates the seam by detecting objects moving toward the seam. Experimental results show that the proposed algorithm can successfully produce stitched video sequences without the waving and ghost artifacts commonly found in conventional stitching algorithms.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.357/_p
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@ARTICLE{e94-d_2_357,
author={Kwang-Wook LEE, Seung-Won JUNG, Seung-Kyun KIM, Sung-Jea KO, },
journal={IEICE TRANSACTIONS on Information},
title={A Novel Content-Aware Stitching Algorithm for Real-Time Video Sequences},
year={2011},
volume={E94-D},
number={2},
pages={357-362},
abstract={The panorama image obtained by image stitching can have visible artifacts due to the limitation of alignment accuracy and defects of the optical systems. Moreover, conventional image stitching algorithms cannot be directly applied to a real-time video stitching due to its complexity and waving artifacts. In this paper, we propose a real-time content-aware stitching algorithm which not only finds a seam by using path searching based on the greedy method, but also adaptively updates the seam by detecting objects moving toward the seam. Experimental results show that the proposed algorithm can successfully produce stitched video sequences without the waving and ghost artifacts commonly found in conventional stitching algorithms.},
keywords={},
doi={10.1587/transinf.E94.D.357},
ISSN={1745-1361},
month={February},}
Copier
TY - JOUR
TI - A Novel Content-Aware Stitching Algorithm for Real-Time Video Sequences
T2 - IEICE TRANSACTIONS on Information
SP - 357
EP - 362
AU - Kwang-Wook LEE
AU - Seung-Won JUNG
AU - Seung-Kyun KIM
AU - Sung-Jea KO
PY - 2011
DO - 10.1587/transinf.E94.D.357
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2011
AB - The panorama image obtained by image stitching can have visible artifacts due to the limitation of alignment accuracy and defects of the optical systems. Moreover, conventional image stitching algorithms cannot be directly applied to a real-time video stitching due to its complexity and waving artifacts. In this paper, we propose a real-time content-aware stitching algorithm which not only finds a seam by using path searching based on the greedy method, but also adaptively updates the seam by detecting objects moving toward the seam. Experimental results show that the proposed algorithm can successfully produce stitched video sequences without the waving and ghost artifacts commonly found in conventional stitching algorithms.
ER -