A Mechanism to Automate the Generation of Digital Library Image Metadata and to Provide Content Search

B. do Carmo Langiano and M.S. Sunye (Brazil)


Metadata, digital library, and image processing algorithms


Metadata is textual information attached to an image or resource to aid the identification and retrieval of resources. Experienced professionals, demanding effort, dedication and time, generally create metadata. So, the objective of this work is to propose a mechanism to automate the creation of digital library image metadata through content features extracted by algorithms, accelerating and making easy the metadata creation. These features will serve as more precise image content indexes, complementing the traditional qualitative descriptions, and will allow the retrieval of images in digital libraries, based on similarities with a given image. Thus, Service Providers will be able to provide searches based on similarities, an important tool in systems that deal with medical images.

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