Video delivering over Internet protocol (IP)-based communication networks is widely used in the actual information sharing scenario. As well known, the best-effort Internet architecture cannot guarantee an errorless data delivering. In this paper, an objective no-reference video quality metric for assessing the impact of the degradations introduced by video transmission over heterogeneous IP networks is presented. The proposed approach is based on the analysis of the inter-frame correlation measured at the output of the rendering application. It does not require any information on errors, delays, and latencies affecting the links and on the countermeasures introduced by decoders in order to face the potential quality loss. Experimental results show the effectiveness of the proposed algorithm in approximating the assessments obtained by using human visual system (HVS)-inspired full reference metrics.
Battisti, F., Carli, M., Neri, A. (2014). No reference quality assessment for MPEG video delivery over IP. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 1-19 [10.1186/1687-5281-2014-13].
No reference quality assessment for MPEG video delivery over IP
BATTISTI, FEDERICA;CARLI, Marco;NERI, Alessandro
2014-01-01
Abstract
Video delivering over Internet protocol (IP)-based communication networks is widely used in the actual information sharing scenario. As well known, the best-effort Internet architecture cannot guarantee an errorless data delivering. In this paper, an objective no-reference video quality metric for assessing the impact of the degradations introduced by video transmission over heterogeneous IP networks is presented. The proposed approach is based on the analysis of the inter-frame correlation measured at the output of the rendering application. It does not require any information on errors, delays, and latencies affecting the links and on the countermeasures introduced by decoders in order to face the potential quality loss. Experimental results show the effectiveness of the proposed algorithm in approximating the assessments obtained by using human visual system (HVS)-inspired full reference metrics.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.