Multimedia Databases

The content of multimedia data is often captured with different “capture” techniques (e.g., image processing) that may be rather unreliable. Multimedia processing techniques need to be able to handle different ways of content capture including automated ways and/or manual methods.

Queries posed by the user in multimedia databases often cannot come back with a textual answer. Rather, the answer to a query may be a complex multimedia presentation that the user can browse at his/her leisure. Our framework shows how queries to multimedia databases may be used to generate multimedia presentations that satisfy users queries-a factor that is unique to our framework.

Multimedia data is large and affects the storage , retrieval and transmission of multimedia data.

Automatic feature extraction and Indexing: In conventional databases user explicitly submits the attribute values of objects inserted into the database. In contrast, advanced tools such as image processing and pattern recognition tools for images, to extract the various features and content of multimedia objects. As size of data is very large we need special data structures for storing and indexing.