Content Based Image Retrieval - Semantic Classification
Image Retrieval Modules
We developed an application framework, which allows for fast retrieval of visually similar images in large image collections. The system consists of an analysis module that computes a set of metadata for each image in the dataset and a search engine. The search engine is adjusted using a small set of training images. New images will be ranked by the system according to their visual similarity to those training images based on the extracted metadata.
Both, the analysis module as well as the search engine are available as dynamically linked libraries and thus can be integrated easily into your own applications.
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