The challenge of motion estimation (ME) process in the video compression (VC) technique is to balance the complexity, visual experience, and speed, which directly affects the efficiency of video compression. An abundant number of block matching algorithms (BMA) was designed only to achieve the above objective of ME. This paper presents a dynamic version of existing BMAs for ME, which uses the ideas and concepts of the three most effective BMAs, namely reduced three-step logarithmic search (RTSLS), simple and efficient search (SES), and adaptive rood pattern search (ARPS) reported till date. The proposed algorithm yields equivalent visual experience than that of full search (FS) but is several times faster than FS.