Abstract
In this paper, a new method is proposed for object-based image retrieval. The user supplies a query object by selecting a region from a query image, and the system returns a ranked list of images that contain the same object, retrieved from a large image database. The main outcomes of this research are as follows: (1) An novel object-based image retrieval framework that integrates effective pre-treatment and re-ranking is presented, (2) a new feature filtration method based on attention analysis is proposed for pre-treatment, (3) to further improve object retrieval precision, we add an efficient spatial configuration model to re-rank the primary retrieval result using Bag of Word method. Experimental results demonstrate the effectiveness of our method.
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Gao, K., Lin, S., Zhang, Y., Tang, S. (2008). Object-based Image Retrieval with Attention Analysis and Spatial Re-ranking. In: Shi, Z., Mercier-Laurent, E., Leake, D. (eds) Intelligent Information Processing IV. IIP 2008. IFIP – The International Federation for Information Processing, vol 288. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-87685-6_16
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DOI: https://doi.org/10.1007/978-0-387-87685-6_16
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