DML-HDR

The followings are links to our High Dynamic Range (DML-HDR) video data sets, which were used in our study to evaluate various HDR image and video quality metrics. DML-HDR database includes five videos with different characteristic, which are captured by a RED SCARLET–X camera capable of capturing HDR motion footage. Each video sequence is approximately 10 seconds long with frame rate of 30 frames per second (fps) and resolution of 2048×1080.

The data set contains 5 HDR videos in two different formats:

1) For each video, frames are stored in “.hdr” format. There are many software programs that can read and open this image format, for example “MATLAB” or “Picturenaut”. RGBE is a lossless HDR video format, where each pixel value consists of one byte for red mantissa, one bite for green mantissa, one for the blue mantissa, and one bite for a common exponent.

2) Each video is converted to a “YUV” 12-bit file. YUV 12 bit format consists of three channels, Y for luma and U and V for Chroma. Each channel is represented by integer values between 0 and 4095 (12 bits). The process of generating the YUV files is described in our paper. “PYUV” is a typical software to read these files. Note that since conversion from the original HDR videos to YUV format results in loss of information and also color space conversion is applied in this process, we encourage using the “.hdr” file format rather than “YUV” ones.

Disclaimer: This data set is free to be used for any non-commercial purposes. Please cite the following papers if you use our data set:

1) A. Banitalebi-Dehkordi, M. Azimi Hashemi, M. T. Pourazad, and P. Nasiopoulos, “High Dynamic Range Video Compression Using HEVC and H.264/AVC Standards,” 10^th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE, Aug. 2014, Greece.

2) Maryam Azimi, Amin Banitalebi-Dehkordi, Yuanyuan Dong, Mahsa T. Pourazad, and Panos Nasiopoulos, “Evaluating the Performance of Existing Full-Reference Quality Metrics on High Dynamic Range (HDR) Video Content,” ICMSP 2014: XII International Conference on Multimedia Signal Processing, Nov. 2014, Venice, Italy.

* The generated distorted videos for the quality evaluation of various HDR quality metrics are accessible here.

3) A. Banitalebi-Dehkordi, M. Azimi, Y. Dong, M. T. Pourazad, and P. Nasiopoulos, “Quality assessment of High Dynamic Range (HDR) video content using existing full-reference metrics,” ISO/IEC JTC1/SC29/WG11, France, Oct. 2014.