To solve the problem of coding performance drop caused by the fractional motion estimation skipping due to hardware implementation consideration, this paper proposes two search range adjustment algorithms to adjust the search range for motion estimation so that the new decided search range can cover the absent reference data as much as possible. By mathematically modeling the relationship between motion vector predictor and non-overlapping area size, the new search range can thus be adjusted. In addition, a search range aspect ratio adjustment algorithm is also proposed in this paper by means of solving the mathematical equations. Through the proposed search range adjustment algorithm, the bitrate increasing can be significantly reduced when compared to fractional motion estimation skipping mechanism. Furthermore, the proposed search range aspect ratio adjustment algorithm can achieve better rate distortion performance when compared to the exhaustive search method under the same search range area constraint.