TY - GEN
T1 - Temporal pooling of video quality estimates using perceptual motion models
AU - Lee, Kwanghyun
AU - Park, Jincheol
AU - Lee, Sanghoon
AU - Bovik, Alan C.
PY - 2010
Y1 - 2010
N2 - Emerging multimedia applications have increased the need for video quality measurement. Motion is critical to this task, but is complicated owing to a variety of object movements and movement of the camera. Here, we categorize the various motion situations and deploy appropriate perceptual models to each category. We use these models to create a new approach to objective video quality assessment. Performance evaluation on the Laboratory for Image and Video Engineering (LIVE) Video Quality Database shows competitive performance compared to the leading contemporary VQA algorithms.
AB - Emerging multimedia applications have increased the need for video quality measurement. Motion is critical to this task, but is complicated owing to a variety of object movements and movement of the camera. Here, we categorize the various motion situations and deploy appropriate perceptual models to each category. We use these models to create a new approach to objective video quality assessment. Performance evaluation on the Laboratory for Image and Video Engineering (LIVE) Video Quality Database shows competitive performance compared to the leading contemporary VQA algorithms.
UR - http://www.scopus.com/inward/record.url?scp=78651103033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651103033&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2010.5652884
DO - 10.1109/ICIP.2010.5652884
M3 - Conference contribution
AN - SCOPUS:78651103033
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2493
EP - 2496
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
Y2 - 26 September 2010 through 29 September 2010
ER -