HEVC-EPIC swMATH ID: 27582 Software Authors: Rüfenacht, Dominic; Taubman, David Description: HEVC-EPIC: fast optical flow estimation from coded video via edge-preserving interpolation. This paper presents a method leveraging coded motion information to obtain fast, high quality motion field estimation. The method is inspired by a recent trend followed by a number of top-performing optical flow estimation schemes that first estimate a sparse set of features between two frames, and then use an edge-preserving interpolation scheme (EPIC) to obtain a piecewise-smooth motion field that respects moving object boundaries. In order to skip the time-consuming estimation of features, we propose to directly derive motion seeds from decoded HEVC block motion; we call the resulting scheme “HEVC-EPIC”. We propose motion seed weighting strategies that account for the fact that some motion seeds are less reliable than others. Experiments on a large variety of challenging sequences and various bit-rates show that HEVC-EPIC runs significantly faster than EPIC flow, while producing motion fields that have a slightly lower average endpoint error. HEVC-EPIC opens the door of seamlessly integrating HEVC motion into video analysis and enhancement tasks. When employed as input to a framerate upsampling scheme, the average Y-PSNR of the interpolated frames using HEVC-EPIC motion slightly outperforms EPIC flow across the tested bit-rates, while running an order of magnitude faster. Homepage: https://ieeexplore.ieee.org/document/8307486 Related Software: Cited in: 1 Document Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year HEVC-EPIC: fast optical flow estimation from coded video via edge-preserving interpolation. Zbl 1409.94518Rüfenacht, Dominic; Taubman, David 2018 Cited by 2 Authors 1 Rüfenacht, Dominic 1 Taubman, David S. Cited in 1 Serial 1 IEEE Transactions on Image Processing Cited in 1 Field 1 Information and communication theory, circuits (94-XX) Citations by Year