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Title:Zaznavanje napak v podnapisih v transportnem toku digitalne televizije
Authors:ID Lah, Timi (Author)
ID Vlaj, Damjan (Mentor) More about this mentor... New window
ID Sepesy Maučec, Mirjam (Comentor)
Files:.pdf MAG_Lah_Timi_2018.pdf (8,17 MB)
MD5: 3336F518A85FF9CD1990691A636B86E7
PID: 20.500.12556/dkum/817d0bf2-797b-432a-b827-05910a861432
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu bomo predstavili tehnologije digitalne televizije preko različnih medijev (prizemna televizija, satelitska televizija, IPTV ...). Razčlenili bomo transportni tok digitalne televizije in podali različne formate podnapisov, ki se danes uporabljajo v praksi. V nadaljevanju se bomo poglobili v delovanje optične prepoznave znakov na nivoju knjižnice Tesseract OCR in spoznali različne postopke identifikacije jezika besedila. V sklepnem delu magistrske naloge bomo sestavili programsko opremo, ki bo iz toka digitalne televizije izločila vse sledi podnapisov in prepoznala jezik posamezne sledi.
Keywords:digitalna televizija, IPTV, optična prepoznava znakov, podnapisi, identifikacija jezika
Place of publishing:[Maribor
Publisher:T. Lah
Year of publishing:2017
PID:20.500.12556/DKUM-69618 New window
UDC:621.397.743:778.535(043.2)
COBISS.SI-ID:21237526 New window
NUK URN:URN:SI:UM:DK:EDRHU6B7
Publication date in DKUM:06.03.2018
Views:1629
Downloads:156
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:10.02.2018

Secondary language

Language:English
Title:Error detection in the subtitle transport stream of the digital television
Abstract:In this master's thesis, we will get acquainted with technologies for digital television through different media (digital terrestrial television, satellite television, IPTV etc.). We will dissect the transport stream of digital television and get acquainted with different subtitle formats that are used today. After that, we will take a deeper look into the operation of the optical character recognition software library Tesseract OCR and get to know different procedures of identifying the text language. In conclusion of the master's thesis, we will build software that will separate all the subtitle traces from the digital television's stream and recognise the language of an individual trace.
Keywords:digital television, IPTV, optical character recognition, subtitles, language identification


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