Error-Concealed Video Dataset (ECVD)

This is a dataset of 120 error-concealed video clips.  The clips were generated from 6 CIF, 6 HD and 6 Full-HD test video sequences. Each of those sequences was error concealed with 4 Error Concealment (EC) techniques: Motion Copy, Motion Vector Extrapolation, Decoder Motion Vector Estimation (DMVE) + Boundary Matching Algorithm (BMA), and Adaptive Error Concealment Order Determination (AECOD). The dataset also includes the original (loss free) video clips, as well as the subjective ranking of the error-concealed videos.

The original purpose for generating this dataset is to evaluate the performance of various Image/Video Quality Assessment (I/VQA) methods in how well they compare the quality of error-concealed videos. In other words, if the output of EC technique A is a better-quality video than EC technique B, which I/VQA metric predicts this correctly.

For more information please refer to the following paper:

M. Kazemi, M. Ghanbari, and S. Shirmohammadi, “The Performance of Quality Metrics in Assessing Error-Concealed Video Quality,” IEEE Transactions on Image Processing, vol. 29, pp. 5937-5952, 2020.