Searching Objects in a Video Footage: Dropping Frames and Object Detection Approach

Searching Objects in a Video Footage: Dropping Frames and Object Detection Approach

Tapiwanashe Miranda Sanyanga (Chinhoyi University of Technology, Chinhoyi, Zimbabwe), Munyaradzi Sydney Chinzvende (Chinhoyi University of Technology, Chinhoyi, Zimbabwe), Tatenda Duncan Kavu (Chinhoyi University of Technology, Chinhoyi, Zimbabwe) and John Batani (Chinhoyi University of Technology, Chinhoyi, Zimbabwe)
DOI: 10.4018/IJICTRAME.2019070102

Abstract

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.
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The problem of object search in a video has been approached in a much similar fashion by most researchers, in which their main focus was on improving the search accuracy and efficiency of search algorithms and not simplifying how the search query is input and how the results are presented. Most of the techniques make use of the query by example (QBE) technique to create search query inputs. In the ensuing paragraphs, the authors review previous related works by other researchers.

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