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A Grouping Method of Photographic Advertisement Information Based on the Efficient Combination of Features  

Jeong, Jae-Kyong (Sungkyunkwan University, School of Communication and Information Engineering)
Jeon, Byeung-Woo (Sungkyunkwan University, School of Communication and Information Engineering)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.48, no.2, 2011 , pp. 66-77 More about this Journal
Abstract
We propose a framework for grouping photographic advertising images that employs a hierarchical indexing scheme based on efficient feature combinations. The study provides one specific application of effective tools for monitoring photographic advertising information through online and offline channels. Specifically, it develops a preprocessor for advertising image information tracking. We consider both global features that contain general information on the overall image and local features that are based on local image characteristics. The developed local features are invariant under image rotation and scale, the addition of noise, and change in illumination. Thus, they successfully achieve reliable matching between different views of a scene across affine transformations and exhibit high accuracy in the search for matched pairs of identical images. The method works with global features in advance to organize coarse clusters that consist of several image groups among the image data and then executes fine matching with local features within each cluster to construct elaborate clusters that are separated by identical image groups. In order to decrease the computational time, we apply a conventional clustering method to group images together that are similar in their global characteristics in order to overcome the drawback of excessive time for fine matching time by using local features between identical images.
Keywords
Global feature; Local feature; Photo; Identical image;
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Times Cited By KSCI : 1  (Citation Analysis)
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