Content based video retrieval using histogram of gradients and frame fusion

Abstract

In the present article, we present an algorithm of content based video retrieval using Frame fusion and Histogram of Oriented Gradients (HOG). Representative frames of database videos are pre-processed using frame fusion to get a high resolution representative frames and HOG descriptor of this high resolution representative frames represents corresponding database video. On other side, query frame also undergo frame fusion and the HOG descriptor of high resolution query frame is used to represent query frame. To retrieve videos similar to query frame, matching is done using Euclidean distance between HOG features of query frame and database representative frames. The proposed method is tested on news category videos. The proposed method randomly picks frames from database videos, instead of selecting keyframes as query frames. Performance is assessed with the parameters precision, recall, accuracy and Jaccard index. The experimental results have shown that the performance of the proposed method is performing better than other state-of-art methods.