Definition of masks related to psychovisual features for Video Quality Assessment

Abstract

Abstract-Video Quality Assessment needs to correspond to human perception. Pixel-based metrics (PSNR or MSE) fail in many circumstances for not taking into account the spatiotemporal property of human's visual perception. In this paper we propose a new pixel-weighted method to improve video quality metrics for artifacts evaluation. The method applies a psychovisual model based on motion, level of detail, pixel location and the appearance of human faces, which approximate the quality to the human eye's response. Subjective tests were developed to adjust the psychovisual model for demonstrating the noticeable improvement of an algorithm when weighting the pixels according to the factors analyzed instead of treating them equally. The analysis developed demonstrates the necessity of models adapted to the specific visualization of contents and the model presents an advance in quality to be applied over sequences when a determined artifact is analyzed.

Obtención y adaptación de mapas de profundidad en vídeo estereoscópico: influencia en la codificación y el comportamiento visual tridimensional en tiempo real

“…En la mayoría de ocasiones, no es posible asumir la relación directa entre una medida objetiva y la calidad subjetiva. En ocasiones se parte de dichas medidas objetivas, pero se aplican filtros de ponderación espaciales o temporales, como en [37], con lo que se pretende obtener resultados en los que se tenga en cuenta la distribución de atención del observador en el espacio y en el tiempo.…”