Arbitrary product detection from advertisement video by using object independent features

This research proposes a novel method to extract image regions of products from an advertisement video, by analyzing features which are completely independent from the target object. Namely, we focus on how each product is emphasized in the video production, and propose the utilization of low-level visual features which leverage the technical know-how of video producers. By using such features, our proposal can achieve highly accurate detection of temporal and spatial locations of the advertised products, regardless of the product domain. Evaluation of the proposed method has been conducted with the actual advertisement video, in which accuracy of 79.4% in F-measure has been achieved.