Abstract
Photographs, which are taken by human beings with creative thinking, may significantly differ from the images that are taken by a surveillance camera or a visual sensor on a robot. Human being intentionally shoot a photograph to express his/her feeling or photo-realistically record a scene by adjusting two factors: the parameters setting of a camera and the position between the camera and the object which he or she is interested in. Based on these observations, a graph model based stochastic method is used to discover the pattern of how people taking photos, so that the interesting regions of the images can be determined automatically. Both the visual features of the images and the camera metadata parameters are simultaneously taken into considered. Experimental evaluation on over 7000+ photos taken by 200+ different models of cameras with variety of interests has shown the robustness of our techniques.
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© 2008 Springer-Verlag Berlin Heidelberg
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Li, Z., Lu, H., Xue, X., Fan, J. (2008). Detecting Interesting Regions in Photographs – How Metadata Can Help. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_28
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DOI: https://doi.org/10.1007/978-3-540-89796-5_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89795-8
Online ISBN: 978-3-540-89796-5
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