How interesting is this? Finding interest hotspots and ranking images using an MPEG-7 visual attention model
How interesting is this? Finding interest hotspots and ranking images using an MPEG-7 visual attention model
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这有多有趣？
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Heiko Wolf
中科院分区：
文献类型：
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作者：
D. Deng;Heiko Wolf
热闹的达尼丁街景和南阿尔卑斯山的全景这两张图片可能会吸引观众并引起他们的兴趣。但是人们会看哪里，哪些图像看起来更有趣？在本文中，我们介绍了一种基于 MPEG-7 描述符的视觉注意力模型，该模型创建多尺度特征图来检测图像中的兴趣热点。此外，我们正在评估三种使用注意力模型进行图像排名的方法，并将它们与用户测试中收集的结果进行比较。初步结果表明，我们的模型创建的排名与试点用户研究中获得的排名高度一致。
A lively Dunedin street scene, and a panoramic view of the Southern Alps two images that might appeal and interest a viewer. But where do people look, and which of those images appears more interesting? In this paper, we are introducing a visual attention model based on MPEG-7 descriptors that creates multi-scale feature maps to detect interest hotspots in images. Further, we are assessing three methods that use attention models for image ranking and compare them to results gathered in a user test. Preliminary results indicate that rankings created by our model show a high agreement with rankings obtained in a pilot user study.