Objective Parameter Analysis with H.265 Using Lagrangian Encoding Algorithm Implementation

Abstract

Video data transmission without buffering is becoming widespread across all equipment. Supporting wireless network maintenance is becoming increasingly important in order to meet all of the needs of users. The future 5G technology will be the backbone for high data transmission without buffering in wireless networks. The H.265 protocol is intended for low-latency high-speed data transmission across 5G networks. The authors of this study developed a video compression strategy based on the Lagrangian encoder (LE) and the H.265 protocol. In comparison to existing encoders MPEG4, H.261, H.263, and H.264, the proposed H.265 protocol architecture enables compression with less capacity while also meeting 5G network transmission speed and latency. Adding the LE to the H.265 protocol architecture reduces codec complexity and buffering latency while increasing efficiency. In this work, the authors focus on the quality of the video streaming in addition to these factors. Various metrics like as PSNR, SSIM, and VMAF are used to assess the quality of video data transmission. The authors created their own dataset containing a video and assessed the recommended parameters using the preexisting H.264 procedure in this work to analyze these parameters. For all parameters, the performance of the proposed H.265 architecture outperforms the existing H.264 protocol.