Multimedia information retrieval

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Multimedia information retrieval (MMIR or MIR) is a research discipline of computer science that aims at extracting semantic information from multimedia data sources.^{[1][failed verification]} Data sources include directly perceivable media such as audio, image and video, indirectly perceivable sources such as text, semantic descriptions,^[2] biosignals as well as not perceivable sources such as bioinformation, stock prices, etc. The methodology of MMIR can be organized in three groups:

1. Methods for the summarization of media content (feature extraction). The result of feature extraction is a description.
2. Methods for the filtering of media descriptions (for example, elimination of redundancy)
3. Methods for the categorization of media descriptions into classes.