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undergraduate thesis
Analiza i uspoređivanje video sadržaja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:857158
Perleta, Martina
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Perleta, M. (2019). Analiza i uspoređivanje video sadržaja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:857158

Perleta, Martina. "Analiza i uspoređivanje video sadržaja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:857158

Perleta, Martina. "Analiza i uspoređivanje video sadržaja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:857158

Perleta, M. (2019). 'Analiza i uspoređivanje video sadržaja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:857158

Perleta M. Analiza i uspoređivanje video sadržaja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:857158

M. Perleta, "Analiza i uspoređivanje video sadržaja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:857158

Metadata
TitleAnaliza i uspoređivanje video sadržaja
Title (english)Analysis and Comparison of Video Content
AuthorMartina Perleta
MentorDaniel Hofman (mentor)
Committee memberDaniel Hofman (predsjednik povjerenstva)
Committee memberJosip Knezović (član povjerenstva)
Committee memberAlen Duspara (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu je prikazan način rada video kompresije. Postoje dvije vrste video kompresije: lossless i lossy. Detaljno je opisan postupak kodiranja video sadržaja koju koristi JPEG norma. Kodirati se može na dva načina: kodiranje unutar slike iz kojeg proizlaze I-slike i kodiranje između slika koje rezultira s P-slikama i/ili B-slikama. Također, opisane su razne norme za kodiranje videa. Neke od njih su: H.261, H.263, MPEG-2, H.264/AVC (MPEG-4). Najpoznatije i u širokoj upotrjebi su H.264/AVC i MPEG-2. Najveća prednost H.264/AVC nad MPEG-2 je postizanje iste kvalitete video sadržaja s od 2 do 2,5 puta manjom brzinom prijenosa (točnost određivanja vektora pomaka je puno veća). Nadalje, uspoređivanjem svih normi po istom kriteriju, ispostavilo se da je H.262 norma s najvišom brzinom prijenosa. Osim toga, opisani su razni algoritmi za procjenu pokreta. Na samom kraju opisana je i analizirana metoda kojom su se tražile sličnosti između dva videa pomoću vektora pomaka.
Abstract (english)
This paper describes the way video compression works. There are two types of video compression: lossless and lossy. The process of encoding video content using the JPEG standard is described in detail. Video content can be encoded in two ways: intra-frame coding which produces I-images and inter-frame coding which produces P-images and/or B-images. Also, various video coding standards are described. Some of them are: H.261, H.263, MPEG-2, H.264/AVC (MPEG-4). The most popular and widely used are H.264/AVC and MPEG-2. The biggest advantage of H.264/AVC over MPEG-2 is achievement of the same video quality with 2 to 2.5 times lower bit-rate (the accuracy of motion estimation is higher). Furthermore, by comparing all the norms by the same criterion, it turned out that the standard with the highest bit-rate is H.262. In addition, various motion estimation algorithms are described. At the very end, an analysis and description is shown of a method which uses motion vectors to find similarities between two videos.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:857158
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 21:15:18