Metodologia para extração de conteúdo de monitores e TVs

Abstract

In this work we present a TV content extraction methodology using a model based on a Markov random field (MRF). We present two major contributions. For the first contribution, we modified a method for quadrangular object detection in color images, by means of adapting edge and rectangle detection techniques to detect and select a sole rectangular object with features of a TV or monitor screen. Besides this contribution, we concieved two databases consisted of, respectively, 504 and 600 TV and monitor photos, acquired under different sizes, different illumination conditions and different distance between camera and device, as well as reference images with the content presented in the devices in the acquisition moment. The methodology’s performance was evaluated in the context of detection and evaluation of monitor content, using the databases concieved in this work. For comparison, we used existing methods for detecting rectangular objects in the same context of the proposed methodology. The experiments demonstrate that the methodology’s performance is greatly influenced by the content complexity and the image background.