000087258 001__ 87258
000087258 005__ 20181126105935.0
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__ $$0240452$$aTosic, I.$$g163024
000087258 700__ $$0241302$$aBogdanova, I.$$g128491
000087258 700__ $$0241061$$aFrossard, P.$$g101475
000087258 700__ $$0240428$$aVandergheynst, P.$$g120906
000087258 7112_ $$aEUSIPCO$$cAntalya$$dSeptember. 2005
000087258 773__ $$tProceedings of EUSIPCO
000087258 8564_ $$s996196$$uhttps://infoscience.epfl.ch/record/87258/files/Tosic2005_1265.pdf$$zn/a
000087258 909C0 $$0252392$$pLTS2$$xU10380
000087258 909C0 $$0252393$$pLTS4$$xU10851
000087258 909CO $$ooai:infoscience.tind.io:87258$$pconf$$pSTI$$qGLOBAL_SET
000087258 937__ $$aEPFL-CONF-87258
000087258 970__ $$aTosic2005_1265/LTS
000087258 973__ $$aEPFL$$sPUBLISHED
000087258 980__ $$aCONF