PROJECT TITLE :

Design and Implementation of Efficient Video Stabilization Engine Using Maximum a Posteriori Estimation and Motion Energy Smoothing Approach

ABSTRACT:

To smooth the video content caused by handheld devices, this paper styles a hardware-oriented engine for economical video stabilization. This engine is realized based on the motion energy computation. Maximum a posteriori estimation derives the global motion. Considerably, the motion energy smoothing accomplishes video stabilization. The world motion is smoothed by calculating the continuous and curve energy of successive frames. Still, to realize real-time video stabilization, economical hardware architecture is proposed. The novel data reuse theme is intended for enhancing the speed of corner purpose detection. The estimation skip technique is manipulated for lowering the computation of native motion estimation. Double buffering and pipeline running is designed for efficiently deriving the worldwide motion. With these approaches, the corresponding hardware design has the characteristics of high potency and high throughput. The experimental results show that the proposed video stabilization engine will turn out well-smooth videos and have high precision. The proposed hardware architecture enhances the performance of video stabilization with real-time and massive resolution-processing ability. The objective comparison conjointly demonstrates our good performance on video stabilization.


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