Improving Maximum Likelihood Difference Scaling method to measure inter content scale

Autor: Andreas Pastor, Lukas Krasula, Xiaoqing Zhu, Zhi Li, Patrick Le Callet

Publikováno v: ICASSP 2022-IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP 2022-IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore

The goal of most subjective studies is to place a set of stimuli on a perceptual scale. This is mostly done directly by rating, e.g. using single or double stimulus methodologies, or indirectly by ranking or pairwise comparison. All these methods est

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb4124aa16403e010890585c199e29fd

Ambiguity of objective image quality metrics: A new methodology for performance evaluation

Autor: Lukas Krasula, Junghyuk Lee, Toinon Vigier, Manri Cheon, Jong-Seok Lee, Patrick Le Callet

Publikováno v: Signal Processing: Image Communication
Signal Processing: Image Communication, Elsevier, 2021, 93, pp.116150. ⟨10.1016/j.image.2021.116150⟩

Objective image quality metrics try to estimate the perceptual quality of the given image by considering the characteristics of the human visual system. However, it is possible that the metrics produce different quality scores even for two images tha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b54ff5361453396d4b5dc7f89b26f73a
https://hal.archives-ouvertes.fr/hal-03205749

CAMBI: Contrast-aware Multiscale Banding Index

Autor: Lukas Krasula, Mariana Afonso, Pulkit Tandon, Joel Sole

Publikováno v: PCS

Banding artifacts are artificially-introduced contours arising from the quantization of a smooth region in a video. Despite the advent of recent higher quality video systems with more efficient codecs, these artifacts remain conspicuous, especially o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a625a3faeb801b1d10b282ef0e502147
http://arxiv.org/abs/2102.00079

3D Visual Content Datasets

Autor: Marco Carli, Patrick Le Callet, Federica Battisti, Lukas Krasula, Karel Fliegel, Margrit Gelautz, Vladimir Zlokolica

Publikováno v: 3D Visual Content Creation, Coding and Delivery
3D Visual Content Creation, Coding and Delivery, pp.299-325, 2019, ⟨10.1007/978-3-319-77842-6_11⟩
3D Visual Content Creation, Coding and Delivery ISBN: 9783319778419

Development and performance evaluation of efficient methods for coding, transmission, and quality assessment of 3D visual content require rich datasets of a suitable test material. The use of these databases allows a fair comparison of systems under

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bf5845ae3f47f334515585c89be1dd4
https://hal.archives-ouvertes.fr/hal-02420298

Training Objective Image and Video Quality Estimators Using Multiple Databases

Autor: Lukas Krasula, Yoann Baveye, Patrick Le Callet

Publikováno v: IEEE Transactions on Multimedia
IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2019, pp.1-1. ⟨10.1109/TMM.2019.2935687⟩

Machine learning (ML) is an essential part of recent advances in computer science. To fully exploit its potential, ML-based algorithms require a considerable amount of annotated data to be used for training. This represents a severe limitation in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1b5ffd2696b5fde8351b670667ad4b7
https://hal.archives-ouvertes.fr/hal-02417611