Low bit Rate Video Quality Analysis Using NRDPF-VQA Algorithm

Subrahmanyam CH (Technology and Research University)
Venkata Rao D (Narasaraopeta Institute of Engineeing & Technology)
Usha Rani N (Technology and Research University)

International Journal of Electrical and Computer Engineering
Vol 5, No 1: February 2015

In this work, we propose NRDPF-VQA (No Reference Distortion Patch Features Video Quality Assessment) model aims to use to measure the video quality assessment for H.264/AVC (Advanced Video Coding). The proposed method takes advantage of the contrast changes in the video quality by luminance changes. The proposed quality metric was tested by using LIVE video database. The experimental results show that the new index performance compared with the other NR-VQA models that require training on LIVE video databases, CSIQ video database, and VQEG HDTV video database. The values are compared with human score index analysis of DMOS.