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.
Text : The form in which the text can be stored can vary greatly. In addition to ASCII based files, text is typically stored in processor files, spreadsheets, databases and annotations on more general multimedia objects. With availability and proliferation of GUIs, text fonts the job of storing text is becoming complex allowing special effects(color, shades..).
Images : There is great variance in the quality and size of storage for still images. Digitalized images are sequence of pixels that represents a region in the user's graphical display. The space overhead for still images varies on the basis of resolution, size, complexity, and compression scheme used to store image. The popular image formats are jpg, png, bmp, tiff.
Audio : An increasingly popular datatype being integrated in most of applications is Audio. Its quite space intensive. One minute of sound can take up to 2-3 Mbs of space. Several techniques are used to compress it in suitable format.
Video : One on the most space consuming multimedia data type is digitalized video. The digitalized videos are stored as sequence of frames. Depending upon its resolution and size a single frame can consume upto 1 MB. Also to have realistic video playback, the transmission, compression, and decompression of digitalized require continuous transfer rate.
Graphic Objects: These consists of special data structures used to define 2D & 3D shapes through which we can define multimedia objects. These includes various formats used by image, video editing applications.