Abstract
Images are becoming an important asset and managing them for efficient retrieval poses challenges to the database community. In this paper, we proposed a novel three-tier color index that supports efficient image retrieval by color contents which is important to certain applications, especially when shapes and semantic objects cannot be easily recognized. A prototype painting database system is designed and implemented to demonstrate the effectiveness of the proposed indexing technique. Besides the color index, two other indexes, B +-trees for structured attributes and a signature file for free-text descriptions, were also implemented. As a result, a wide range of queries, both text-based and content-based can be processed efficiently. We also look at existing image database systems based on their query retrieval capabilities.
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Lu, H., Ooi, BC., Tan, KL. (1994). Efficient Image Retrieval By Color Contents. In: Litwin, W., Risch, T. (eds) Applications of Databases. ADB 1994. Lecture Notes in Computer Science, vol 819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58183-9_43
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DOI: https://doi.org/10.1007/3-540-58183-9_43
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