Mobile image retrieval is one of the most exciting and fastest growing
research fields in the area of multimedia technology. As the amount of
digital contents continues to grow users are experiencing increasing
difficulty in finding specific images in their image libraries. This paper
proposes a new efficient and effective mobile image retrieval method that
applies a weighted combination of color and texture utilizing spatial-color
and second order statistics. The system for mobile image searches runs in
real-time on an iPhone and can easily be used to find a specific image. To
evaluate the performance of the new method, we assessed the Xcode simulations
performance in terms of average precision and F-score using several image
databases and compare the results with those obtained using existing methods
such as MPEG-7. Experimental trials revealed that the proposed descriptor
exhibited a significant improvement of over 13% in retrieval effectiveness,
compared to the best of the other descriptors.
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