Evaluation of visual quality metrics

Download

index.pdf

Date

2011

Author

Ölgün, Ramazan Ferhat

Metadata

Show full item record

Item Usage Stats

137
views

51
downloads

The aim of this study is to work on the visual quality metrics that are widely accepted in literature, to evaluate them on different distortion types and to give a comparison of overall performances in terms of prediction accuracy, monotonicity, consistency and complexity. The algorithms behind the quality metrics in literature and parameters used for quality metric performance evaluations are studied. This thesis also includes the explanation of Human Visual System, classification of visual quality metrics and subjective quality assessment methods. Experimental results that show the correlation between objective scores and human perception are taken to compare the eight widely accepted visual quality metrics.

Subject Keywords

Visual perception.

URI

http://etd.lib.metu.edu.tr/upload/12613733/index.pdf
https://hdl.handle.net/11511/21020

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Visual object representations: effects of feature frequency and similarity Eren Kanat, Selda; Hohenberger, Annette Edeltraud; Department of Cognitive Sciences (2011) The effects of feature frequency and similarity on object recognition have been examined through behavioral experiments, and a model of the formation of visual object representations and old/new recognition has been proposed. A number of experiments were conducted to test the hypothesis that frequency and similarity of object features affect the old/new responses to test stimuli in a later recognition task. In the first experiment, when the feature frequencies are controlled, there was a significant increas...
Metric learning using deep recurrent networks for visual clustering and retrieval Can, Oğul; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2018) Learning an image similarity metric plays a key role in visual analysis, especially for the cases where a training set contains a large number of hard negative samples that are difficult to distinguish from other classes. Due to the outstanding results of the deep metric learning on visual tasks, such as image clustering and retrieval, selecting a proper loss function and a sampling method becomes a central issue to boost the performance. The existing metric learning approaches have two significant drawback...
Comparative analysis of variability modelling approaches in component models Suloglu, Selma; Kaya, Muhammed Çağrı; Karamanlıoğlu, Alper; Entekhabi, Sina; Nikoo, Mahdi Saeedi; Tekinerdogan, Bedir; Doğru, Ali Hikmet (2018-12-01) The results of a systematic literature review conducted for variability modelling in software component models are analysed and presented here. A well-planned protocol guided the screening of 3230 papers that resulted in the identification of 55 papers. Reviewing these papers, 23 of them were considered as primary studies related to our research questions. A comparison framework is introduced to further understand, assess, and compare those selected papers. Observations about the important aspects of compon...
Analysis of the Problem Based Learning Implementations Students and Tutors Perceptions and Actions Ateş, Özlem; Eryılmaz, Ali (2015-03-01) This study aims to analyze the implementation of problem-based learning (PBL) in engineering education regarding perceptions and actions of tutors and students. A case study design was employed in this study. To this end, four tutors, their five PBL modules, and fourteen students were selected. Observations and interviews were used to collect qualitative data. The results indicated that there was a difference between participants’ perception of PBL and their actions during tutorials. Participants’ level of ...
Experimental results on adaptive output feedback control using a laboratory model helicopter Kutay, Ali Türker; Idan, Moshe; Hovakimyan, Naira (2002-01-01) Experimental results are presented that illustrate a recently developed method for direct output feedback adaptive control. The method permits adaptation to both parametric uncertainty and unmodeled dynamics, and incorporates a novel approach that permits adaptation during periods of control saturation. A controller designed using this method was tested in controlling the pitch axis of a three degrees of freedom helicopter model, using attitude feedback through a low resolution optical sensor. © 2002 by the...

Citation Formats

R. F. Ölgün, “Evaluation of visual quality metrics,” M.S. - Master of Science, Middle East Technical University, 2011.