Modeliranje konteksta u entropijskom kodiranju videosignala

scientific master's theses

• Title (english): Context modeling in entropy video coding
• Author: Marta Mrak
• Mentor: Sonja Grgić (mentor)
• Committee member: Branka Zovko-Cihlar (predsjednik povjerenstva)
• Committee member: Borivoj Modlic (član povjerenstva)
• Committee member: Sonja Grgić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Communication and Space Technologies); Zagreb
• Defense date and country: 2003, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering; Radio Communications
• Universal decimal classification (UDC): 621.3 - Electrical engineering

Abstract

U ovome radu je objašnjena i analizirana primjena entropijskog kodiranja s modeliranjem konteksta u kompresiji videosignala. Dan je pregled H.264/AVC norme za kodiranje videosignala. Na temelju provedene teorijske analize i eksperimentalnih opažanja određen je novi postupak za modeliranje konteksta binarnih podataka. Predloženi postupak se temelji na optimiziranim algoritmima gradnje i odabira binarnih stabala konteksta. Postupak je primijenjen na odabrane elemente sintakse trenutnog referentnog H.264/AVC modela za kodiranje individualnih slika i grupe slika, te je ocijenjen za različite ispitne sekvence, kvantizacijske parametre i postupke za predviđanje vjerojatnosti. Eksperimentalni rezultati pokazuju da su dobici kodiranja nove metode jednaki ili veći od dobitaka koji se postižu primjenom H.264/AVC CABAC sustava.

Abstract (english)

In this thesis entropy coding using context modeling with application to video compression is presented and analysed. An overview of H.264/AVC video coding standard is presented. Based on theoretical considerations and empirical observations a new algorithm for context modeling of binary sources is presented. The algorithm is based on a tree reordering and tree selection process for an optimized modeling using binary context trees. The proposed technique is applied to the selected syntax element of the current H.264/AVC test model for individual frames and group of pictures. Its performance is evaluated for different sources, quantization parameters and probability estimation methods. Experimental results show that by using the proposed algorithm coding gains similar or superior to those obtained with H.264/AVC CABAC algorithm can be achieved.

• Keywords: H.264/AVC; kompresija videosignala; modeliranje konteksta; CABAC; GRASP; adaptivno kodiranje
• Keywords (english): H.264/AVC; video compression; context modeling; CABAC; GRASP; adaptive coding
• Language: croatian
• URN:NBN: urn:nbn:hr:168:007890
• Study programme: Title: Postgraduate master programme in electrical engineering; Study programme type: university; Study level: postgraduate; Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
• Catalog URL: https://lib.fer.hr:8443/cgi-bin/koha/catalogue/detail.pl?biblionumber=29140
• Type of resource: Text
• Extent: 66 str. ; 30 cm
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-09-09 08:45:19