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Prof. Dr. Marcus Barkowsky

Research:

  • Quality of Experience
  • Algorithms for Video Quality Analysis
  • Algorithmic modelling of the human visual system
  • Analysis of subjective experiments
  • Perceptual methods in video coding

Professor

Study Coordinator “Interactive Systems and Internet of Things”

DEGG's 2.17

0991/3615-409


consulting time

Thursday, 15:15-15:45, meeting appointment by email


Sortierung:
Beitrag (Sammelband oder Tagungsband)

  • L. Tiotsop
  • T. Mizdos
  • M. Uhrina
  • P. Pocta
  • Marcus Barkowsky
  • E. Masala

Predicting Single Observers Votes from Objective Measures using Neural Networks

  • (2020)
  • Angewandte Informatik
  • DIGITAL
Zeitschriftenartikel

  • J. Li
  • A. Wang
  • Wang, J.
  • Marcus Barkowsky
  • P. Le Callet

Visual Discomfort Induced by Three-Dimensional Display Technology (in Chinese)

In: Laser and Optoelectronics Progress vol. 52

  • (2015)
  • Angewandte Informatik
  • DIGITAL
Beitrag (Sammelband oder Tagungsband)

  • P. Lebreton
  • A. Raake
  • Marcus Barkowsky
  • P. Le Callet

Measuring perceived depth in natural images and study of its relation with monocular and binocular depth cues

pg. 1.

San Francisco, CA, USA

  • (2014)
The perception of depth in images and video sequences is based on different depth cues. Studies have considered depth perception threshold as a function of viewing distance (Cutting & Vishton,1995), the combination of different monocular depth cues and their quantitative relation with binocular depth cues and their different possible type of interactions (Landy,1995). But these studies only consider artificial stimuli and none of them attempts to provide a quantitative contribution of monocular and binocular depth cues compared to each other in the specific context of natural images. This study targets this particular application case. The evaluation of the strength of different depth cues compared to each other using a carefully designed image database to cover as much as possible different combinations of monocular (linear perspective, texture gradient, relative size and defocus blur) and binocular depth cues. The 200 images were evaluated in two distinct subjective experiments to evaluate separately perceived depth and different monocular depth cues. The methodology and the description of the definition of the different scales will be detailed. The image database is also released for the scientific community.
  • Angewandte Informatik
  • DIGITAL
Zeitschriftenartikel

  • Marcus Barkowsky
  • I. Sedano
  • K. Brunnström
  • M. Leszczuk
  • N. Staelens

Hybrid video quality prediction: reviewing video quality measurement for widening application scope

In: Multimedia Tools and Applications vol. 74 pg. 323-343.

Springer US

  • (2014)

DOI: 10.1007/s11042-014-1978-2

A tremendous number of objective video quality measurement algorithms have been developed during the last two decades. Most of them either measure a very limited aspect of the perceived video quality or they measure broad ranges of quality with limited prediction accuracy. This paper lists several perceptual artifacts that may be computationally measured in an isolated algorithm and some of the modeling approaches that have been proposed to predict the resulting quality from those algorithms. These algorithms usually have a very limited application scope but have been verified carefully. The paper continues with a review of some standardized and well-known video quality measurement algorithms that are meant for a wide range of applications, thus have a larger scope. Their individual artifacts prediction accuracy is usually lower but some of them were validated to perform sufficiently well for standardization. Several difficulties and shortcomings in developing a general purpose model with high prediction performance are identified such as a common objective quality scale or the behavior of individual indicators when confronted with stimuli that are out of their prediction scope. The paper concludes with a systematic framework approach to tackle the development of a hybrid video quality measurement in a joint research collaboration.
  • Angewandte Informatik
  • DIGITAL