Title :
Joint estimation of motion and arc breakpoints for scalable compression
Author :
Young, Sean I. ; Mathew, Reji K. ; Taubman, David S.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
An alternative, graphical model for motion estimation (ME) is proposed for video compression using a dense motion field. Unlike other types of optical flow-based motion analysis techniques, the chief goal of our work is jointly to discover a piece-wise smooth motion field with compression-motivated regularization, where the underlying motion compression scheme has resolution and quality scalability attributes. The graphical model formulation is presented and obtained results are discussed.
Keywords :
data compression; image resolution; image sequences; motion estimation; video coding; ME; arc breakpoints; compression-motivated regularization; dense motion field; graphical model; motion compression scheme; motion estimation; optical flow-based motion analysis techniques; piecewise smooth motion field; quality scalability attributes; resolution attributes; scalable compression; video compression; Encoding; Estimation; Graphical models; Interpolation; Optical distortion; Scalability; Vectors; Motion estimation; graphical model; optical flow; scalable compression;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6736919
