Abstract
A no-reference video quality assessment (VQA)
method is presented for videos distorted by H.264/AVC and
MPEG-2. The assessment is performed without access to the
bit-stream. Instead we analyze and estimate coefficients based
on decoded pixels. The approach involves distinguishing between
the two types of videos, estimating the level of quantization used
in the I-frames, and exploiting this information to assess the
video quality. In order to do this for H.264/AVC, the distribution
of the DCT-coefficients after intra-prediction and deblocking are
modeled. To obtain VQA features for H.264/AVC, we propose a
novel estimation method of the quantization in H.264/AVC videos
without bitstream access, which can also be used for Peak Signalto-Noise
Ratio (PSNR) estimation. The results from the MPEG-2
and H.264/AVC analysis are mapped to a perceptual measure of
video quality by Support Vector Regression (SVR). For validation
purposes, the proposed method was tested on two databases. In
both cases good performance compared with state of the art full,
reduced, and no-reference VQA algorithms was achieved.
| Original language | English |
|---|---|
| Journal | I E E E Transactions on Circuits and Systems for Video Technology |
| Volume | 25 |
| Issue number | 10 |
| Pages (from-to) | 1637-1650 |
| ISSN | 1051-8215 |
| DOIs | |
| Publication status | Published - 2015 |
Bibliographical note
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Keywords
- Video Quality Assessment
- No-Reference
- Pixel-Based
- H.264/AVC
- Video Codec Analysis
- PSNR estimation