Performance Evaluation of Classic Motion Estimation Algorithms
Prashant A. Bhalge, Salim Y. Amdani · 2017
From the lookout of video coding, Motion estimation methods are used to condense bandwidth conforming to motion alteration data and motion overhead. These requirements can be in conflicting to each other as on the one hand, they should have short overhead data, while on the other hand, motion approximation algorithms should offer suitable forecast data. The general aims of motion estimation methods are to progress prediction precision or to reduce the implementation complexity or combination of two. This paper presents the performance estimation of classic motion estimation algorithms which include Full search(FS), Three step search(TSS), Diamond search(DS) and Hexagonal search(HS). The experiment was carried out using well known sequences of `Susie', `Football', `Missa' and `Claire'. Experimentally it was observed that full search performed better than others algorithms.