of using Multimedia Database
The incorporation of multimedia database systems will improve the quantity and quality of information manipulated by computer users in all fields, computer aided design, and information retrieval. The area of intelligent multimedia content analysis and retrieval techniques is an emerging discipline. Techniques for representing and extracting semantic information from media such as speech, images, and video are required.
multimedia application lacks a database, the data structure is buried in
the script, where all of its value is lost. This omission also makes the
script more complicated and less flexible. Using a multimedia database
makes the data structure logic available to other multimedia
applications and simplifies the script so that many scripts can share
the same multimedia metadata. In addition, when a multimedia or abstract
data database is organized and annotated for one application, other
applications can use those annotations without going through the same
time-consuming process. This capability adds great value to the data
through reuse and controlled redundancy.
Search and retrieval operations are critical in interactive multimedia applications; they must be equally efficient and powerful. Search and retrieval of multimedia and abstract data is challenging, but multimedia databases make it feasible through internal storage format flexibility and efficient operation. The DBMS should have significant knowledge about the data and its structure to enable powerful semantic optimizations and intelligent searches. Search and retrieval operations also give the application access to media components so that they can be dynamically and seamlessly processed when necessary.
In a DBMS process, declarative user queries are done by defining a query language as part of DBMS. It is known that the query is one of the most important parts of a DBMS. Since a query gets used by both native and export users it is critical to use effective query languages in order to promote user friendliness. Multimedia query languages must deal with complex spatial and temporal relationships inherited in the wide range of multimedia data types. Powerful query languages could help manipulate multimedia DBMS and maintain the desired independence between the database and the application. Due to the complexity of multimedia data, we need a query language that could support semantic data retrieval which is done by using keywords, indexes on keywords, and contents of multimedia objects. However the query language of traditional DBMS dealt only with exact key match queries on data types which means sufficient to deal with queries posed against metadata and annotations of multimedia data.
two types of queries that are used in the database system. The first
query is called a well-defined query. A well-defined query is when
properties of objects are represented by a well defined set of labels.
The conditional operators are also well defined. In well-defined query,
the user must know the exact knowledge of the underlying database and
the desired query result. This query only works with exact matches. The
second query type of is called the fuzzy query where the properties of
query objects are unclear or comparison operators in the query do not
give exact matches, This will result in all sets of different answers.
Benefits and Features
Relation with Industries