research data . Dataset . 2018

InVID TV Logo Dataset v2.0

Papadopoulou, Olga; Zampoglou, Markos; Papadopoulos, Symeon; Kompatsiaris, Yiannis;
Open Access
  • Published: 21 Dec 2018
  • Publisher: Zenodo
Abstract
<p>This dataset was created with the purpose of providing a training and evaluation benchmark for TV logo detection in videos. It contains the results from the segmentation and annotation of 2,749 YouTube videos originating from a large number of news TV channels, The videos have been annotated with respect to the TV channel logos they contain -specifically, by the name of the organization to which the logo belongs- and with shot boundary information. Furthermore, a set of logo templates has been extracted from the videos and organized alongside the corresponding channel information.</p> <p>As we do not own the rights to the videos, the dataset only contains the...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
free text keywords: TV logo detection, Biochemistry, Genetics, Molecular Biology, Sociology, Infectious Diseases, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, 110309 Infectious Diseases, 59999 Environmental Sciences not elsewhere classified, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, Science Policy
Funded by
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
Validated by funder
Communities
Science and Innovation Policy Studies
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Dataset . 2018
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Dataset . 2018
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Dataset . 2018
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Dataset . 2018
Provider: Datacite
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