Paper Info
Title
Advertisement evaluation using visual saliency based on foveated image
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.
Year
DOI
Venue
2009
10.1109/ICME.2009.5202644
ICME
Keywords
DocType
ISSN
novel approach,advertisement evaluation,visual saliency,automatic salient region,input image,advertisements data,interested region,salient region,space variant foveated image,prediction model,data mining,computational modeling,pixel,data visualisation,imaging,visualization,estimation,indexing terms
Conference
1945-7871
Citations 
PageRank 
References 
5
0.47
5
Authors
4
Name
Order
Citations
PageRank
Zhiguo Ma1141.70
Laiyun Qing233724.66
Jun Miao322022.17
Xilin Chen46291306.27