The aim of this paper is to present video quality prediction models for objective non-intrusive, prediction of H.264 encoded video for all content types combining parameters both in the physical and application layer over Universal Mobile Telecommunication Systems (UMTS) networks. In order to characterize the Quality of Service (QoS) level, a learning model based on Adaptive Neural Fuzzy Inference System (ANFIS) and a second model based on non-linear regression analysis is proposed to predict the video quality in terms of the Mean Opinion Score (MOS). The objective of the paper is two-fold. First, to find the impact of QoS parameters on end-to-end video quality for H.264 encoded video. Second, to develop learning models based on ANFIS and non-linear regression analysis to predict video quality over UMTS networks by considering the impact of radio link loss models. The loss models considered are 2-state Markov models. Both the models are trained with a combination of physical and application layer parameters and validated with unseen dataset. Preliminary results show that good prediction accuracy was obtained from both the models. The work should help in the development of a reference-free video prediction model and QoS control methods for video over UMTS networks. 1. Introduction Universal Mobile Telecommunication System (UMTS) is a third generation (3G), wireless cellular network based on Wideband Code Division Multiple Access technology, designed for multimedia communication. UMTS is among the first 3G mobile systems to offer wireless wideband multimedia communications over the Internet Protocol [1]. Multimedia contents on the Internet can be accessed by the mobile Internet users at data rates between 384？kbps and up to 2？Mbps in a wide coverage area with perfect static reception conditions. Video streaming is a multimedia service, which is recently gaining popularity and is expected to unlock new revenue flows for mobile network operators. Significant business potential has been opened up by the convergence of communications, media, and broadcast industries towards common technologies by offering entertainment media and broadcast content to mobile user. However, for such services to be successful, the users Quality of Service (QoS) is likely to be the major determining factor. QoS of multimedia communication is affected by parameters both in the application and physical layer. In the application layer, QoS is driven by factors such as resolution, frame rate, sender bitrate, and video codec type. In the physical layer, impairments such as the block
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