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Avtomatizirana izdelava podpisnih grafik za prenose v živo
ID Bastarda, Neža (Author), ID Pogačnik, Matevž (Mentor) More about this mentor... This link opens in a new window, ID Pečnik, Klemen (Comentor)

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Abstract
V diplomskem delu je predstavljena avtomatizirana izdelava podpisnih grafik za uporabo pri video in televizijski produkciji. Ročna izdelava večjega števila vsebinsko različnih, a vizualno enakih grafik, je lahko zamudna in povečuje možnost napak. Namen diplomskega dela je bil zato razviti sistem, ki bi ta postopek avtomatiziral. Sistem je bil izdelan za programsko okolje Blackmagic Design DaVinci Resolve ter s skripto v programskem jeziku Python povezuje vhodno datoteko CSV in grafično predlogo v okolju DaVinci Resolve. Skripta prebere podatke iz vhodne datoteke in jih vstavi v ustrezna vozlišča grafične predloge. Za vsak podatkovni zapis oziroma vrstico vhodne datoteke se ustvari nova različica vizualno enake podpisne grafike. Ustvarjene grafike skripta umesti na časovnico, omogoča pa tudi njihov izvoz glede na nastavitve uporabnika. Rezultat dela je delujoč sistem, ki na podlagi vhodnih podatkov ustvari podpisne grafike in omogoča predvsem hitrejšo izdelavo večjega števila grafik. Predstavlja osnovo, ki jo je mogoče nadgraditi in prilagoditi za druge vrste vhodnih podatkov in druga programska okolja.

Language:Slovenian
Keywords:podpisna grafika, avtomatizacija, DaVinci Resolve, Python
Work type:Undergraduate thesis
Organization:FE - Faculty of Electrical Engineering
Year:2026
PID:20.500.12556/RUL-187564 This link opens in a new window
Publication date in RUL:11.09.2026
Views:129
Downloads:27
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Secondary language

Language:English
Title:Automated Generation of Lower-Third Graphics for Live Broadcasts
Abstract:
This paper presents the automated creation of lower-third graphics for use in video and television production. Creating a large number of visually consistent graphics with different content by hand can be time consuming and can increase the possibility of grammar mistakes and other errors. The aim of the paper was therefore to develop a system that automates this process. The system was developed for the Blackmagic Design DaVinci Resolve environment and uses a Python script to connect an input CSV file with a graphics template in DaVinci Resolve. The script reads the data from the input file and inserts it into the corresponding nodes of the template. For each data record, row in the input file, a new version of the visually consistent lower-third is created. The created graphics are placed on the timeline, and can also be exported according to user-defined settings. The result is a functional system that generates lower thirds based on input data and especially enables faster production of a large number of graphics. It represents a basis for further development and can be adapted to other types of input data and other software environments.

Keywords:lower thirds, automation, DaVinci Resolve, Python

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