Pixel-Wise Object Segmentations for the {VOT} 2016 Dataset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00307439" target="_blank" >RIV/68407700:21230/17:00307439 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/vojir/Vojir-TR-2017-01.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/vojir/Vojir-TR-2017-01.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Pixel-Wise Object Segmentations for the {VOT} 2016 Dataset
Original language description
The technical report describes the acquisition methodology of pixel-wise annotation of objects of interest in the 60 video sequences of the VOT2016 dataset and the automatic estimation of rotated bounding boxes obtained from the object segmentations that were used in the VOT2016 challenge evaluation. This technical report is published to accompany the segmentation data and it must be cited whenever the segmentations are used. The code for the estimation of the bounding boxes is publicly available.
Czech name
—
Czech description
—
Classification
Type
O - Miscellaneous
CEP classification
—
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/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů