Insertion of impairments in test video sequences for quality assessment based on psychovisual characteristics

López Velasco, Juan Pedro; Rodrigo Ferrán, Juan Antonio; Jiménez Bermejo, David y Menendez Garcia, Jose Manuel (2014). Insertion of impairments in test video sequences for quality assessment based on psychovisual characteristics. En: "2nd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS 2014)", 18/11/2014 - 20/11/2014, Madrid, Spain. pp. 193-198. https://doi.org/10.1109/AIMS.2014.71.

Descripción

Título: Insertion of impairments in test video sequences for quality assessment based on psychovisual characteristics
Autor/es:
  • López Velasco, Juan Pedro
  • Rodrigo Ferrán, Juan Antonio
  • Jiménez Bermejo, David
  • Menendez Garcia, Jose Manuel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2nd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS 2014)
Fechas del Evento: 18/11/2014 - 20/11/2014
Lugar del Evento: Madrid, Spain
Título del Libro: 2nd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS 2014)
Fecha: 2014
Materias:
Palabras Clave Informales: Artifact, database, distortion, subjective correlation, video quality assessment
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Assessing video quality is a complex task. While most pixel-based metrics do not present enough correlation between objective and subjective results, algorithms need to correspond to human perception when analyzing quality in a video sequence. For analyzing the perceived quality derived from concrete video artifacts in determined region of interest we present a novel methodology for generating test sequences which allow the analysis of impact of each individual distortion. Through results obtained after subjective assessment it is possible to create psychovisual models based on weighting pixels belonging to different regions of interest distributed by color, position, motion or content. Interesting results are obtained in subjective assessment which demonstrates the necessity of new metrics adapted to human visual system.

Más información

ID de Registro: 36628
Identificador DC: http://oa.upm.es/36628/
Identificador OAI: oai:oa.upm.es:36628
Identificador DOI: 10.1109/AIMS.2014.71
Depositado por: Memoria Investigacion
Depositado el: 25 Jul 2015 07:19
Ultima Modificación: 25 Jul 2015 07:19
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