DML-LBVS-HDR: Learning Based Visual Saliency prediction for High Dynamic Range Video

Sep 21, 2022

The followings are links to our DML-LBVS-HDR data sets. LBVS-HDR is a Visual Attention Model (VAM) for High Dynamic Range (HDR) video data. To access the database click here.

Disclaimer: This data set is free to be used for any non-commercial purposes.

Please cite the following papers if you are using this database for your research.

  • Amin Banitalebi-Dehkordi, Y. Dong, Mahsa T. Pourazad, and Panos Nasiopoulos, “A Learning Based Visual Saliency Fusion Model For High Dynamic Range Video (LBVS-HDR),” 23rd European Signal Processing Conference, EUSIPCO 2015.
  • Amin Banitalebi-Dehkordi, Maryam Azimi, Mahsa T. Pourazad, and Panos Nasiopoulos, “Saliency-Aided HDR Quality Metrics,” ISO/IEC JTC1/SC29/WG11 MPEG2014/m37317, Oct. 2015, Geneva, Switzerland.
Posted by UBC Digital Multimedia Lab