How are multimedia sources indexed for content-based retrieval?

Short Answer

Expert verified
Content-based retrieval in multimedia sources involves extracting distinctive features of the multimedia data and indexing. The indexed features are then used for comparing with and retrieving the relevant multimedia data upon queries, allowing for efficient and accurate data retrieval.

Step by step solution

01

Define Content-Based Retrieval

Content-based retrieval is a method for retrieving specific types of contents based on its actual content rather than its metadata (like file name or date). It is often used in multimedia databases to retrieve images, videos, audios and other multimedia data.
02

Explain Indexing

Indexing in multimedia databases is a way to optimize the speed of data retrieval. When a database is indexed, it creates a 'directory' that can be used to quickly locate data without having to search every row in the database table.
03

Content-Based Retrieval in Multimedia Sources

In content-based retrieval of multimedia sources, different features of the multimedia data (like color, texture, shape for images, or pitch, tempo for sound clips) are extracted and indexed. When a query is made, these indexes are used to compare features and retrieve the relevant multimedia data. Various techniques can be used for indexing: Vector Space Model, Histogram, Feature Extraction etc.

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