Guided Video Object Segmentation by Tracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00371648" target="_blank" >RIV/68407700:21230/23:00371648 - isvavai.cz</a>
Result on the web
<a href="https://ev.fe.uni-lj.si/4-2023/Pelhan.pdf" target="_blank" >https://ev.fe.uni-lj.si/4-2023/Pelhan.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Guided Video Object Segmentation by Tracking
Original language description
The paper presents Guided video object segmentation by tracking (gVOST) method for a human -in-the-loop video object segmentation which significantly reduces the manual annotation effort. The method is designed for an interactive object segmentation in a wide range of videos with a minimal user input. User to iteratively selects and annotates a small set of anchor frames by just a few clicks on the object border. The segmentation then is propagated to intermediate frames. Experiments show that gVOST performs well on diverse and challenging videos used in visual object tracking (VOT2020 dataset) where it achieves an IoU of 73% at only 5% of the user annotated frames. This shortens the annotation time by 98% compared to the brute force approach. gVOST outperforms the state-of-the-art interactive video object segmentation methods on the VOT2020 dataset and performs comparably on a less diverse DAVIS video object segmentation dataset.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Electrotechnical Review
ISSN
0013-5852
e-ISSN
2232-3236
Volume of the periodical
90
Issue of the periodical within the volume
4
Country of publishing house
SI - SLOVENIA
Number of pages
12
Pages from-to
147-158
UT code for WoS article
001106156900002
EID of the result in the Scopus database
2-s2.0-85180155048