Illumination Dataset
- Citation Author(s):
-
Maryam Haghighat
(University of New South Wales)
- Submitted by:
- Maryam Haghighat
- Last updated:
- DOI:
- 10.21227/hd90-7m11
- Research Article Link:
- Links:
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Abstract
The dataset includes sample indoor and outdoor sequences with considerable variations in illumination.
Instructions:
Datasets "Mall", "Oslo-LinPro" and "SJSU" are from AMOS dataset available on "http://amos.cse.wustl.edu/dataset".
Datasets "scene1", "scene2", "scene6" and "scene11" are from Phos dataset available on "http://robotics.pme.duth.gr/phos2.html".
Dataset Building is captured by the author at a frame rate of one per 15 minutes.
The datasets are used to evaluate illumination estimation and compensation approaches in the following projects:
- M. Haghighat, R. Mathew, D. Taubman, "Illumination Estimation and Compensation of Low Frame Rate Video Sequences for Wavelet-Based Video Compression", IEEE Transactions on Image Processing.
- M. Haghighat, R. Mathew, A. Naman, S. Young, and D. Taubman, "Rate-distortion optimized illumination estimation for wavelet-based video coding”, in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
- M. Haghighat, R. Mathew, A. Naman, and D. Taubman, “Lifting-based illumination adaptive transform (LIAT) using mesh-based illumination modelling”, in 2017 IEEE International Conference on Image Processing (ICIP).
