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dc.contributor.authorArora, Shaifali
dc.contributor.authorKhanna, Kavita
dc.contributor.authorRajpal, Navin
dc.date2017-12
dc.date.accessioned2021-09-10T09:03:57Z
dc.date.available2021-09-10T09:03:57Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11821
dc.description.abstractThe current work presents a novel hybrid approach for motion estimation of various video sequences with a purpose to speed up the entire process without affecting the accuracy. The method integrates the dynamic Zero motion pre-judgment (ZMP) technique with Initial search centers (ISC) along with half way search termination and Small diamond search pattern. Calculation of the initial search centers has been shifted after the process of zero motion pre-judgment unlike most the previous approaches so that the search centers for stationary blocks need not be identified. Proper identification of ISC dismisses the need to use any fast block matching algorithm (BMA) to find the motion vectors (MV), rather a fixed search pattern such as small diamond search pattern is sufficient to use. Half way search termination has also been incorporated into the algorithm which helps in deciding whether the predicted ISC is the actual MV or not which further reduced the number of computations. Simulation results of the complete hybrid approach have been compared to other standard methods in the field. The method presented in the manuscript ensures better video quality with fewer computations.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 4, nº 6
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2623es_ES
dc.rightsopenAccesses_ES
dc.subjectmotion estimationes_ES
dc.subjectzero motion prejudgmentes_ES
dc.subjectinitial search centeres_ES
dc.subjectsum of absolute differenceses_ES
dc.subjectIJIMAIes_ES
dc.titleA Novel Hybrid Approach for Fast Block Based Motion Estimationes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2017.03.011


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