Abstract
A clean background image is of great importance in multiple applications such as video surveillance, object tracking and context-based video encoding, but acquiring a clean background image in public areas is seldom possible. Many algorithms have been developed to initialize the background from videos and images. This paper presents a database consisting of 13 different scenes that can be used for benchmarking the performance of background initialization algorithms. We also conducted a subjective study on the perceptual quality of background images that are reconstructed using existing background initialization algorithms. The obtained subjective scores are used to evaluate existing image quality metrics and their capability in predicting the perceived quality of reconstructed background images.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 8th International Conference on Quality of Multimedia Experience, QoMEX 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509003549 |
| DOIs | |
| State | Published - Jun 23 2016 |
| Event | 8th International Conference on Quality of Multimedia Experience, QoMEX 2016 - Lisbon, Portugal Duration: Jun 6 2016 → Jun 8 2016 |
Other
| Other | 8th International Conference on Quality of Multimedia Experience, QoMEX 2016 |
|---|---|
| Country | Portugal |
| City | Lisbon |
| Period | 6/6/16 → 6/8/16 |
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Keywords
- Background Reconstruction
- Image Database
- Image Quality Assessment
- Perceptual Quality
- Subjective Evaluation
ASJC Scopus subject areas
- Computer Networks and Communications
- Media Technology
- Communication
Cite this
Visual quality assessment of reconstructed background images. / Shrotre, Aditee; Karam, Lina.
2016 8th International Conference on Quality of Multimedia Experience, QoMEX 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7498954.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Visual quality assessment of reconstructed background images
AU - Shrotre, Aditee
AU - Karam, Lina
PY - 2016/6/23
Y1 - 2016/6/23
N2 - A clean background image is of great importance in multiple applications such as video surveillance, object tracking and context-based video encoding, but acquiring a clean background image in public areas is seldom possible. Many algorithms have been developed to initialize the background from videos and images. This paper presents a database consisting of 13 different scenes that can be used for benchmarking the performance of background initialization algorithms. We also conducted a subjective study on the perceptual quality of background images that are reconstructed using existing background initialization algorithms. The obtained subjective scores are used to evaluate existing image quality metrics and their capability in predicting the perceived quality of reconstructed background images.
AB - A clean background image is of great importance in multiple applications such as video surveillance, object tracking and context-based video encoding, but acquiring a clean background image in public areas is seldom possible. Many algorithms have been developed to initialize the background from videos and images. This paper presents a database consisting of 13 different scenes that can be used for benchmarking the performance of background initialization algorithms. We also conducted a subjective study on the perceptual quality of background images that are reconstructed using existing background initialization algorithms. The obtained subjective scores are used to evaluate existing image quality metrics and their capability in predicting the perceived quality of reconstructed background images.
KW - Background Reconstruction
KW - Image Database
KW - Image Quality Assessment
KW - Perceptual Quality
KW - Subjective Evaluation
UR - http://www.scopus.com/inward/record.url?scp=84979647955&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979647955&partnerID=8YFLogxK
U2 - 10.1109/QoMEX.2016.7498954
DO - 10.1109/QoMEX.2016.7498954
M3 - Conference contribution
BT - 2016 8th International Conference on Quality of Multimedia Experience, QoMEX 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -