ADVERTISEMENT EVALUATION USING VISUAL SALIENCY BASED ON FOVEATED IMAGE

被引：0
|
作者：
Ma, Zhiguo [1 ]
Qing, Laiyun [1 ]
Miao, Jun [1 ]
Chen, Xilin [1 ]
机构：
[1] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
来源：
ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3 | 2009年
关键词：
Advertisement Evaluation; Salient Region; Foveated Image; ATTENTION; MEMORY;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：914 / 917
页数：4
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