Objective Video Quality Assessment Method for Face Recognition Tasks

Subjective video quality assessment methods for recognition tasks

Objective Video Quality Assessment

Digital video data, stored in video databases and distributed through communication networks, is subject to various kinds of distortions during acquisition, compression, processing, transmission, and reproduction. For example, lossy video compression techniques, which are almost always used to reduce the bandwidth needed to store or transmit video data, may degrade the quality during the quanti...

An Objective Quality Assessment Method for Arbitrary Video Streams

In this paper, we propose an objective video quality assessment method that is applicable to arbitrary video sequences in telecommunications environments, where coding is at a wide range of bit rates and viewing is on PC monitors. The proposed method is based on three parameters, a weighted sum of average edge energy, the generation of spurious edges, and the introduction of motion distortion. ...

Objective quality assessment for compressed video

We propose a new objective quality metric for evaluating image and video quality in coding application. In this metric, visual quality scores are given based on a combination of three factors: visually masked error, blurring distortion and structural distortion. Compared with vision-based model, it is easier to calculate and applicable to image and video processing application. Good correlation...

Title: Method for Objective Video Quality Measurements

Besides on-line and off-line visual quality evaluation, how distortion is gauged also plays a determinative role in shaping most algorithms for image and video manipulations, such as enhancement, reconstruction, data hiding, compression, and joint source/channel coding. Visual quality control within an encoder and distortion assessment for decoded signal is particularly of interests due to the ...