No-reference quality assessment of mobile-captured videos by utilizing mobile sensor data

Abstract

Nowadays, recording videos using smartphones is a common practice in everyday life. One advantage of using smartphones for filming is the ability to capture the sensor data during filming to create sensor-rich videos. This thesis presents a no reference Video Quality Assessment (VQA) tool specifically designed for sensor-rich videos. The VQA tool assesses the quality of a given video in three levels: pixel, bit-stream, and sensor level. In the pixel level, several measures are employed to assess the blurriness, contrast, and naturalness of the video. Video motion, scene complexity, and bit-stream quality are evaluated in bit-stream level. In the sensor level, the stability of the video is assessed by utilizing the sensor data. The performance of the proposed tool was assessed in two steps. First, the capability of each measure was evaluated against a prepared database and the measures with higher performance were selected for the final VQA tool. Then, the performance of the tool was examined against an existing database. The results show a promising correlation.