Visible to the public Motion estimation with accurate boundaries

TitleMotion estimation with accurate boundaries
Publication TypeConference Paper
Year of Publication2015
AuthorsXu, R., Naman, A. T., Mathew, R., Rüfenacht, D., Taubman, D.
Conference Name2015 Picture Coding Symposium (PCS)
Date Publishedmay
KeywordsAccuracy, compressible motion field, edge detection, edge detection algorithm, edge-aware moving average filter, edge-preserving filters, Image coding, image domain, Image edge detection, image filtering, image matching, Image resolution, Joints, local dense estimation scheme, matching metrics, Measurement, motion boundary, motion estimation, moving average processes, MSE, multiresolution metric, pubcrawl170111, scalable interactive video coding scheme, video coding

This paper investigates several techniques that increase the accuracy of motion boundaries in estimated motion fields of a local dense estimation scheme. In particular, we examine two matching metrics, one is MSE in the image domain and the other one is a recently proposed multiresolution metric that has been shown to produce more accurate motion boundaries. We also examine several different edge-preserving filters. The edge-aware moving average filter, proposed in this paper, takes an input image and the result of an edge detection algorithm, and outputs an image that is smooth except at the detected edges. Compared to the adoption of edge-preserving filters, we find that matching metrics play a more important role in estimating accurate and compressible motion fields. Nevertheless, the proposed filter may provide further improvements in the accuracy of the motion boundaries. These findings can be very useful for a number of recently proposed scalable interactive video coding schemes.

Citation Keyxu_motion_2015