eprintid: 4143
rev_number: 13
eprint_status: archive
userid: 318
dir: disk0/00/00/41/43
datestamp: 2020-12-05 13:34:53
lastmod: 2020-12-21 09:26:41
status_changed: 2020-12-21 09:26:41
type: conference_item
metadata_visibility: show
creators_name: Pham Thanh, Tung
creators_name: Ma Thi, Chau
creators_name: Nguyen Manh, Tuan
creators_name: Le Dinh, Linh
creators_name: Le Thanh, Ha
title: Compression Artifacts Image Patch database for
Perceptual Quality Assessment
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: 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.
date: 2020
date_type: published
full_text_status: public
pres_type: paper
publication: The 12th IEEE International Conference on KNOWLEDGE AND SYSTEMS ENGINEERING ( KSE 2020)
event_title: KSE-2020
event_type: conference
refereed: TRUE
citation:   Pham Thanh, Tung and Ma Thi, Chau and Nguyen Manh, Tuan and Le Dinh, Linh and Le Thanh, Ha  (2020) Compression Artifacts Image Patch database for Perceptual Quality Assessment.  In: KSE-2020.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4143/1/kse__2020__Copy_.pdf