Human-centered object-based image retrieval


Broek, Egon L. van den and Rikxoort, Eva M. van and Schouten, Theo E. (2005) Human-centered object-based image retrieval. In: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, 22-25 August 2005 , Bath, UK (pp. pp. 492-501).

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Abstract:A new object-based image retrieval (OBIR) scheme is introduced. The images are analyzed using the recently developed, human-based 11 colors quantization scheme and the color correlogram. Their output served as input for the image segmentation algorithm: agglomerative merging, which is extended to color images. From the resulting coarse segments, boundaries are extracted by pixelwise classification, which are smoothed by erosion and dilation operators. The resulting features of the extracted shapes, completed the data for a <color, texture, shape>-vector. Combined with the intersection distance measure, this vector is used for OBIR, as are its components. Although shape matching by itself provides good results, the complete vector outperforms its components, with up to 80% precision. Hence, a unique, excellently performing, fast, on human perception based, OBIR scheme is achieved.
Item Type:Conference or Workshop Item
Copyright:© 2011 Springer
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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