Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Visual quality assessment for stereoscopic video sequences
Download
index.pdf
Date
2011
Author
Sarıkan, Selim Sefa
Metadata
Show full item record
Item Usage Stats
201
views
90
downloads
Cite This
The aim of this study is to understand the effect of different depth levels on the overall 3D quality and develop an objective video quality metric for stereoscopic video sequences. Proposed method is designed to be used in video coding stages to improve overall 3D video quality. This study includes both objective and subjective evaluation. Test sequences with different coding schemes are used. Computer simulation results show that overall quality has a strong correlation with the quality of the background, where disparity is smaller relative to the foreground. This correlation indicates that background layer is more prone to coding errors. The results also showed that content type is an important factor in determining the visual quality.
Subject Keywords
Electronic Computers.
,
Computer Science.
URI
http://etd.lib.metu.edu.tr/upload/12613689/index.pdf
https://hdl.handle.net/11511/21013
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Semantik video modeling and retrieval with visual, auditory, textual sources
Durak, Nurcan; Yazıcı, Adnan; Department of Computer Engineering (2004)
The studies on content-based video indexing and retrieval aim at accessing video content from different aspects more efficiently and effectively. Most of the studies have concentrated on the visual component of video content in modeling and retrieving the video content. Beside visual component, much valuable information is also carried in other media components, such as superimposed text, closed captions, audio, and speech that accompany the pictorial component. In this study, semantic content of video is m...
3D synthetic human face modelling tool based on T-spline surfaces
Aydoğan, Ali; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2007)
In this thesis work, a 3D Synthetic Human Face Modelling Software is implemented using C++ and OpenGL. Bézier surfaces, B-spline surfaces, Nonuniform Rational B-spline surfaces, Hierarchical B-Spline surfaces and T-spline surfaces are evaluated as options for the surface description method. T-spline surfaces are chosen since they are found to be superior considering the requirements of the work. In the modelling process, a modular approach is followed. Firstly, high detailed facial regions (i.e. nose, eyes,...
A simulation tool for mc6811
Sarıkan (Tuncer), Nazlı; Güran, Hasan; Department of Electrical and Electronics Engineering (2004)
The aim of this thesis study is to develop a simulator for an 8-bit microcontroller and the written document of this thesis study analyses the process of devoloping a software for simulating an 8 bit microcontroller, MC68HC11. In this simulator study a file processing including the parsing of the assembler code and the compilation of the parsed instructions is studied. Also all the instruction execution process containing the cycle and instruction execution and the interrupt routine execution is observed th...
Recursive shortest spaning tree algorithms for image segmentation
Bayramoğlu, Neslihan Yalçın; Bazlamaçcı, Cüneyt Fehmi; Department of Electrical and Electronics Engineering (2005)
Image segmentation has an important role in image processing because it is a tool to obtain higher level object descriptions for further processing. In some applications such as large image databases or video image sequence segmentations, the speed of the segmentation algorithm may become a drawback of the application. This thesis work is a study to improve the run-time performance of a well-known segmentation algorithm, namely the Recursive Shortest Spanning Tree (RSST). Both the original and the fast RSST...
A comparison of subspace based face recognition methods
Gönder, Özkan; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2004)
Different approaches to the face recognition are studied in this thesis. These approaches are PCA (Eigenface), Kernel Eigenface and Fisher LDA. Principal component analysis extracts the most important information contained in the face to construct a computational model that best describes the face. In Eigenface approach, variation between the face images are described by using a set of characteristic face images in order to find out the eigenvectors (Eigenfaces) of the covariance matrix of the distribution,...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. S. Sarıkan, “Visual quality assessment for stereoscopic video sequences,” M.S. - Master of Science, Middle East Technical University, 2011.