TY  - CONF
ID  - SisLab4143
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4143/
A1  - Pham Thanh, Tung
A1  - Ma Thi, Chau
A1  - Nguyen Manh, Tuan
A1  - Le Dinh, Linh
A1  - Le Thanh, Ha
Y1  - 2020///
N2  - Ground truth is one of the most important component for training, testing, and benchmarking algorithms for
objective quality assessment. In this paper, we propose an image
patch quality database with compression artifacts. We create
a new database of image patches with High Efficiency Video
Coding (HEVC) compression artifacts. Then, the subjective test
is conducted in a controlled environment to obtain the ground
truth of image patch quality, where we collect differential mean
opinion scores (DMOS) from a larger amount of observers.
Finally, the rank order correlation factors between DMOS and a
set of popular image quality metrics are calculated and presented.
The proposed database is expected for learning patch based IQA
model for block size in video rate-distortion optimization.
TI  - Compression Artifacts Image Patch database for
Perceptual Quality Assessment
AV  - public
T2  - KSE-2020
ER  -