000087258 001__ 87258
000087258 005__ 20190812204942.0
000087258 037__ $$aCONF
000087258 245__ $$aMultiresolution Motion Estimation for Omnidirectional Images
000087258 269__ $$a2005
000087258 260__ $$c2005
000087258 336__ $$aConference Papers
000087258 520__ $$aThis paper presents a novel local motion estimation algorithm for omnidirectional images. The algorithm captures correlation between two spherical images of a scene, taken from arbitrary viewpoints, with the objective to reduce the encoding rate of these images. It first performs a multiresolution decomposition of the spherical images, in order to improve the consistency of the motion estimation, with a limited computational complexity. Then, it determines pairs of similar solid angles and matches blocks of the two omnidirectional images, directly in the spherical domain. This approach allows a simple motion estimation implementation, that avoids potential discrepancies induced while unfolding omnidirectional images to implement a classical motion estimation on images. The proposed algorithm is shown to provide a quite efficient image prediction, and the prediction error is almost exclusively composed of high frequency noise.
000087258 6531_ $$alocal motion estimation
000087258 6531_ $$aspherical images
000087258 6531_ $$aLTS2
000087258 6531_ $$aLTS4
000087258 700__ $$0240452$$g163024$$aTosic, I.
000087258 700__ $$0241302$$g128491$$aBogdanova, I.
000087258 700__ $$g101475$$aFrossard, P.$$0241061
000087258 700__ $$aVandergheynst, P.$$g120906$$0240428
000087258 7112_ $$dSeptember. 2005$$cAntalya$$aEUSIPCO
000087258 773__ $$tProceedings of EUSIPCO
000087258 8564_ $$zn/a$$uhttps://infoscience.epfl.ch/record/87258/files/Tosic2005_1265.pdf$$s996196
000087258 909C0 $$xU10380$$pLTS2$$0252392
000087258 909C0 $$0252393$$xU10851$$pLTS4
000087258 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:87258
000087258 937__ $$aEPFL-CONF-87258
000087258 970__ $$aTosic2005_1265/LTS
000087258 973__ $$sPUBLISHED$$aEPFL
000087258 980__ $$aCONF