Abstract
With the recent explosive growth in the volume of images on the World-Wide Web, it has become increasingly difficult to search for images of interests. The classification of images helps users to access a large image collection efficiently. Classification reduces search space by filtering out unrelated images. Classification also allows for more user-friendly interfaces: users can better visualize easily result space by browsing the representative images of the candidates. In this paper, we present a technique for image classification based on color, shape and composition using the primary objects. We apply this classification technique in image matching for image retrieval on the Web. Our experimental results show that this approach can maintain 73% of recall by searching only 24% of the whole data set. We also show how we apply such technique to assist users in navigation.
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Hirata, K., Mukherjea, S., Li, WS. et al. Integration of Image Matching and Classification for Multimedia Navigation. Multimedia Tools and Applications 11, 295–309 (2000). https://doi.org/10.1023/A:1009662215895
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DOI: https://doi.org/10.1023/A:1009662215895