Enhanced hybrid quality prediction model for 8K UHD H.265 video using ANFIS

Enhanced video coding standard: H.265/ High Efficiency Video Coding (HEVC) elaborated by using SHVC reference software model (SHM), has an aim to develop performance above the current H.265 standard. This paper represents a Quality of Experience (QoE) and Quality of service (QoS) estimate model in a video streaming from the origin of network visual application which is developed in recent years and also 8K video streaming illustration based on the approaching standard of SHVC (Scalable High efficiency Video Coding). SHVC decoder is utilized below the monitor to decode moreover demonstrate in real time the expected SHVC layers. Conversely, ANFIS technique is carried out to interface the Quality of Experience and Quality of service and real time streaming is approved in an unfeasible model which entails an original video sequence. The fundamental objective of this paper is to represent a wireless domain considering 8K UHD H. 265-coded video of the hybrid estimate model of excellent quality. The main contribution of this paper are split up as the examination of the quality impact of the service parameter on the video transmission of 8K UHD H.265-coded and the objective based upon development of quality of visualization by QoS parameters using ANFIS (Adaptive neuro fuzzy interference system). The results showed that the prediction of accurateness is obtained better using an enhanced hybrid model in the series of 50 percentage bit rate reduction and Peak Signal to Noise Ratio (PSNR) for the same quality of video, reliability of QoE and 8KUHD video streaming using QoS.