The overwhelming trend of the usage of multimedia services has raised the consumers' awareness about quality. Both service providers and consumers are interested in the delivered level of perceptual quality. The perceptual quality of an original video signal can get degraded due to compression and due to its transmission over a lossy network. Video quality assessment (VQA) has to be performed in order to gauge the level of video quality. Generally, it can be performed by following subjective methods, where a panel of humans judges the quality of video, or by using objective methods, where a computational model yields an estimate of the quality. Objective methods and specifically No-Reference (NR) or Reduced-Reference (RR) methods are preferable because they are practical for implementation in real-time scenarios. This doctoral thesis begins with a review of existing approaches proposed in the area of NR image and video quality assessment. In the review, recently proposed methods of visual quality assessment are classified into three categories. This is followed by the chapters related to the description of studies on the development of NR and RR methods as well as on conducting subjective experiments of VQA. In the case of NR methods, the required features are extracted from the coded bitstream of a video, and in the case of RR methods additional pixel-based information is used. Specifically, NR methods are developed with the help of suitable techniques of regression using artificial neural networks and least-squares support vector machines. Subsequently, in a later study, linear regression techniques are used to elaborate the interpretability of NR and RR models with respect to the selection of perceptually significant features. The presented studies on subjective experiments are performed using laboratory based and crowdsourcing platforms. In the laboratory based experiments, the focus has been on using standardized methods in order to generate datasets that can be used to validate objective methods of VQA. The subjective experiments performed through crowdsourcing relate to the investigation of non-standard methods in order to determine perceptual preference of various adaptation scenarios in the context of adaptive streaming of high-definition videos. Lastly, the use of adaptive gain equalizer in the modulation frequency domain for speech enhancement has been examined. To this end, two methods of demodulating speech signals namely spectral center of gravity carrier estimation and convex optimization have been studied.

Les maillages 3D polygonaux sont largement utilisés dans diverses applications telles que le divertissement numérique, la conception assistée par ordinateur et l'imagerie médicale. Un maillage peut être soumis à différents types d'opérations comme la compression, le tatouage ou la simplification qui introduisent des distorsions géométriques (modifications) à la version originale. Il est important de quantifier ces modification introduites au maillage d'origine et d'évaluer la qualité perceptuelle des maillages dégradés. Dans ce cadre, on s'intéresse dans cette thèse à l'évaluation de la qualité perceptuelle des maillages 3D statiques et dynamiques. On présente des études expérimentales pour l'évaluation subjective de la qualité des maillages 3D dynamiques.On présente également de nouvelles métriques objectives, de type avec-référence complète ou de type avec référence-réduite, qui sont efficaces pour l'estimation de la qualité perçue des maillages statiques et dynamiques. / 3D mesh animations have been increasingly used in various applications, e.g., in digital entertainment, computer-aided design and medical imaging. It is possible that a mesh model undergoes some lossy operations, e.g., compression, watermarking or simplification, which can impair the original mesh surface and introduce geometric distortions. An important task is to quantify such distortions and assess the perceptual quality of impaired meshes. In this manuscript, we focus on the perceptual quality assessment of 3D static and dynamic meshes. We present psychometric experiments that we conducted to measure the subjective perceptual quality of dynamic meshes. We also present new full-reference and reduced-reference objective metrics capable of faithfully evaluating the perceptual quality of 3D static and dynamic meshes.