Due to the increase in video content being generated from surveillance cameras and filming, videos analysis becomes imperative. Sometimes it becomes tedious to watch a video captured by a surveillance camera for hours, just to find out the desired footage. Current state of-the-art video analysis methods do not address the problem of searching and localizing a particular object in a video using the name of the object as a query and to return only a segment of the video clip showing the instances of that object. In this research the authors make use of combined implementations from existing work and also applied the dropping frames algorithm to produce a shorter, trimmed video clip showing the target object specified by the search tag. The resulting video is short and specific to the object of interest.