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dc.contributor.author Hrúz, Marek
dc.date.accessioned 2017-12-18T21:59:56Z
dc.date.available 2017-12-18T21:59:56Z
dc.date.issued 2017-12-14
dc.identifier.uri http://hdl.handle.net/11234/1-2545
dc.description The corpus contains video files of Czech Television News Broadcasts and JSON files with annotations of faces that appear in the broadcasts. The annotations are composed of frames in which a face is seen, name of the person whose face is seen, gender of the person (male/female), and the image region containing the face. The intended use of the corpus is to train models of faces for face detection, face identification, face verification, and face tracking. For convinience two different JSON files are provided. They contain the same data, but in different arrangements. One file has the identity of the person on the top, the other has the object ID on the top, where the object is a facetrack. A demo python skript is available for showing how to access the data.
dc.language.iso ces
dc.publisher University of West Bohemia, Department of Cybernetics
dc.rights Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subject video
dc.subject czech news broadcasting
dc.subject faces
dc.subject face tracking
dc.title Czech Television News Broadcasting Faces
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType video
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person Marek Hrúz mhruz@ntis.zcu.cz University of West Bohemia, Department of Cybernetics
sponsor Grant Agency of Czech Republic GAP103/12/G084 Center for large-scale multi-modal data interpretation nationalFunds
size.info 12 hours
size.info 31.3 gb
files.size 33656160425
files.count 17


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Name
CEMI-annotations-Udalosti.zip
Size
13.08 MB
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application/zip
Description
ZIP file contains annotations of faces in JSON format
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    • udalosti_-_24.1.2017_19-00_0.mp4_objects.json8 MB
    • udalosti_-_19.1.2017_19-00_0.mp4_objects.json10 MB
    • udalosti_-_17.1.2017_19-00_0.mp4_people.json9 MB
    • udalosti_-_23.1.2017_19-00_0.mp4_objects.json9 MB
    • udalosti_-_12.11.2016_19-00_0.mp4_people.json9 MB
    • udalosti_-_18.1.2017_19-00_0.mp4_objects.json9 MB
    • udalosti_-_14.2.2017_19-00_0.mp4_people.json11 MB
    • udalosti_-_23.1.2017_19-00_0.mp4_people.json9 MB
    • udalosti_-_1.2.2017_19-00_0.mp4_objects.json9 MB
    • udalosti_-_9.11.2016_19-00_0.mp4_people.json11 MB
    • udalosti_-_11.11.2016_19-00_0.mp4_objects.json13 MB
    • udalosti_-_11.11.2016_19-00_0.mp4_people.json13 MB
    • udalosti_-_3.2.2017_19-00_0.mp4_people.json9 MB
    • udalosti_-_18.1.2017_19-00_0.mp4_people.json9 MB
    • udalosti_-_17.1.2017_19-00_0.mp4_objects.json9 MB
    • udalosti_-_8.11.2016_19-00_0.mp4_objects.json12 MB
    • udalosti_-_15.2.2017_19-00_0.mp4_objects.json10 MB
    • udalosti_-_4.2.2017_19-00_0.mp4_objects.json8 MB
    • udalosti_-_8.11.2016_19-00_0.mp4_people.json12 MB
    • udalosti_-_15.2.2017_19-00_0.mp4_people.json10 MB
    • udalosti_-_24.1.2017_19-00_0.mp4_people.json8 MB
    • udalosti_-_16.1.2017_19-00_0.mp4_people.json9 MB
    • udalosti_-_1.2.2017_19-00_0.mp4_people.json9 MB
    • udalosti_-_12.11.2016_19-00_0.mp4_objects.json9 MB
    • udalosti_-_16.1.2017_19-00_0.mp4_objects.json9 MB
    • udalosti_-_14.2.2017_19-00_0.mp4_objects.json11 MB
    • udalosti_-_9.11.2016_19-00_0.mp4_objects.json12 MB
    • udalosti_-_4.2.2017_19-00_0.mp4_people.json8 MB
    • udalosti_-_3.2.2017_19-00_0.mp4_objects.json9 MB
    • udalosti_-_19.1.2017_19-00_0.mp4_people.json10 MB
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Example python script for the annotation handling
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