However, existing metadata schemas mainly focus on describing the shallow attributes of images, such as date, location, sizes and format, but lack the necessary specifications for true image content description. Metadata, which serves as an informative index or even as a substitute for the data itself sometimes, has achieved a lot in organizing digital images effectively. In the Web 2.0 era, managing and reusing digital images has become a tough problem because the quantity of images being stored is growing dramatically. Our findings show that this framework is applicable to the description of cultural digital image content. We discuss the effect of semantic granularity on the annotation cost, from the point view of image semantic description granularity, and control strategies for an image's semantic description quality. We conduct a preliminary test with this method in the cultural heritage field using digital images of the Dunhuang frescoes. In this paper we describe the relationship between the semantic levels under this description framework. The framework combines the semantic description with a domain thesaurus. To solve this problem, we propose a semantic description framework for content description, based on information needs and retrieval theory. Due to the lack of domain-specific hierarchical description schema and controlled vocabularies for digital images, annotation results produced by current methods, such as machine annotation based on low-level visual features and human annotation based on experts' experiences, are inconsistent and of poor quality. Semantic description and annotation of digital images is key to the management and reuse of images in humanities computing.
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