Advertisement evaluation using visual saliency based on foveated image

Zhiguo Ma, Laiyun Qing, Jun Miao, Xilin Chen

Abstract: This paper proposes a novel approach to advertisement evaluation using automatic salient regions. The salient regions are detected using a predicting model, in which the estimation are obtained by the space variant foveated image. The saliency is defined as the difference between the input image and its estimation. Then an advertisement is determined as attractive if the detected salient regions are overlapped with the interested regions of the advertisement. The experimental results on the advertisements data set are encouraging.