Perceptually Motivated Benchmark for Video Matting

Despite recent progress in the field of video matting, neither public data sets nor even a generally accepted method of measuring quality has yet emerged. In this paper we present an online benchmark for video-matting methods. Using chroma keying and a reflection-aware stop-motion capturing procedure, we prepared 12 test sequences. Then, using subjective data, we performed extensive comparative analysis of different quality metrics. The goal of our benchmark is to enable better understanding of current progress in the field of video matting and to aid in developing new methods.