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Webová aplikace pro efektivní anotaci atributů objektů ve videu
Pernický, Michal ; Kohút, Jan (referee) ; Hradiš, Michal (advisor)
The goal of this work is to develop a web application for annotating video object attributes that combines an efficient user interface with an assistant classifier providing predictions. In contrast to currently available tools, the solution focuses directly on objects without assigning them to the original videos. The ability to filter objects according to their attributes and to confirm or reject predicted attribute values in bulk is important. Testing on users has been found to reduce the time spent working by up to half. This shows that further work with this annotation principle is worthwhile.

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