dc.contributor.author | CORRIGAN, DAVID | en |
dc.contributor.author | KOKARAM, ANIL CHRISTOPHER | en |
dc.date.accessioned | 2010-02-09T13:59:28Z | |
dc.date.available | 2010-02-09T13:59:28Z | |
dc.date.created | 14-19th May | en |
dc.date.issued | 2006 | en |
dc.date.submitted | 2006 | en |
dc.identifier.citation | Corrigan, D.; Kokaram, A.; Coudray, R.; Besserer, B., Robust Global Motion Estimation From Mpeg Streamswith a Gradient Based Refinement, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Toulouse, 14-19th May, 2, IEEE, 2006, II - II | en |
dc.identifier.other | Y | en |
dc.identifier.uri | http://hdl.handle.net/2262/37126 | |
dc.description | PUBLISHED | en |
dc.description | Toulouse | en |
dc.description.abstract | In this paper a new robust algorithm for global motion estimation from an MPEG stream is proposed. The approach is to use a hybrid of two previous global motion estimation algorithms in order to improve the accuracy and robustness of the estimate. The first algorithm is a non-parametric technique which uses the block based motion vectors obtained from an MPEG2 stream and which also generates a coarse background segmentation of the frame. The second algorithm is a gradient based technique which estimates the parameters from the image data directly. In this work, an initial estimate for the global motion is obtained using the non-parametric approach. The parameters are then refined using the gradient based estimation and the segmentation field. This hybrid approach shows significant reduction in mean compensation error over the non-parametric approach. The algorithm is then applied to the problem of mosaicking in sports sequences in which the global motion parameters can be used to make a panorama of an entire shot | en |
dc.format.extent | II - II | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | IEEE | en |
dc.relation.ispartofseries | 2 | en |
dc.rights | Y | en |
dc.subject | data compression | en |
dc.subject | gradient methods | en |
dc.subject | image segmentation | en |
dc.subject | image sequences | en |
dc.subject | motion estimation | en |
dc.subject | parameter estimation | en |
dc.subject | video coding | en |
dc.subject | video streaming | en |
dc.subject | Electronic & Electrical Engineering | |
dc.title | Robust Global Motion Estimation From Mpeg Streamswith a Gradient Based Refinement | en |
dc.title.alternative | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) | en |
dc.type | Conference Paper | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/akokaram | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/dacorrig | en |
dc.identifier.rssinternalid | 63458 | en |
dc.identifier.rssuri | http://dx.doi.org/10.1109/ICASSP.2006.1660335 | |