Feature　phones　or　low-end　smart　phones　are　an　important　part　of　our　daily　life.　While　lacking　the　powerful　embedded　camera　and　processing　capability　of　the　high-end　smart　phone,　the　feature　phones　with　the　low-end　camera　and　processing　capability　are　still　widely　used　owing　to　its　lower　cost.　Consequently,　image　and　video　processing　algorithms　are　needed　for　many　intelligent　applications　on　the　low-end　smart　phones.　In　this　paper,　we　propose　a　novel　robust　and　efficient　video　anti-shaking　algorithm　for　the　low-end　smartphone　platform.　It　provides　an　integrated　application　for　the　low-end　smartphone　platform,　which　includes　a　novel　global　motion　estimation　method,　and　a　rapid　and　efficient　local　motion　detection　method.　The　overall　framework　is　proposed　considering　the　limited　camera　perception　quality　and　limited　mobile　processing　capability　of　the　feature　phone.　The　proposed　algorithm　can　not　only　obtain　a　good　visual　effect　but　also　be　implemented　in　real-time　for　the　low-end　mobile　platforms　with　very　limited　computational　resource.　Experimental　results　demonstrate　that　the　proposed　method　can　achieve　a　similar　video　stabilization　effect　to　the　Optical　Image　Stabilization　hardware　in　high-end　smartphones.