TERM PAPER PRESENTATION. QUERY PROCESSING IN MULTIMEDIA DATABASES. TURKER YILMAZ. STUDIED ARTICLES. 1. Conceptual Modeling and Querying in Multimedia Databases. CHITTA BARAL, GRACIELA GONZALEZ, TRAN SON, 2. An Approach to a Content-Based Retrieval
IN MULTIMEDIA DATABASES
1. Conceptual Modeling and
Querying in Multimedia Databases.CHITTA BARAL, GRACIELA GONZALEZ, TRAN SON,
2. An Approach to a Content-Based Retrieval
of Multimedia Data.GUISEPPE AMATO, GIOVANNI MAINETTO,
3. Integrated Spatial and Feature Image QueryJOHN R.SMITH, SHIH-FU CHANG,
4. An Image Database System with Support
for Traditional Alphanumeric Queries and
Content-Based Queries by Example.DANIEL L.SWEETS, YOGESH PATHAK, JOHN J.WENG,
Using feature & concept values the system creates
appropriate access structures that will speed up the
After this schema, we can identify four classes
containing canonical objects: MPEG, MJPEG,
Frames, JPEG and GIF.
By looking at this conceptual level schema we can
say that skyscrapers, churches and bell towers are
subclasses of BUILDING class.
Let us suppose that the user needs to
“retrieve all images of all skyscrapers that are
higher than 200m”
This can be done with;
FROM I in images
WHERE I match any
FROM SS in SKYSCRAPERS
Image queries can be performed by regions and
their spatial and feature attributes.
In spatial image query (SaFe) the images are
matched based upon the relative locations of
symbols. For example a relative SQ may ask for
images in which symbol A is to the left of symbol B.
The proposed system implements image retrieval
The system incorporates 3 major modules:
The SHOSLIF-O module analyzes all images in the
database and builds a hierarchical structure for
efficient search providing the query-by-image content
capability of the system.
Alphanumeric database fields can be defined by the
user in the definition phase and a flat file imported by
the user can act as a database provided it matches the
field count given in the definition phase.
In the query phase, the user can enter a text query
and the alphanumeric database modules search the
database and come out with the image files that
satisfy the given conditions.
When building the tree, the system can proceed
in a supervised or unsupervised learning mode.
A movie database can be created using the following
MOVIE(Title, Year, Producer, Director,
Length, Movie_type, Prod_studio)
“Starting from the Computer Science home page,
find all documents that are linked through paths
of lengths two or less containing only local links.
Keep only the documents containing the string
‘database’ in their title.”
WHERE substring(“database”, HTMLDoc.title)
AND HTMLDoc.h_url= Include.h_url
“List all actors in ‘Gone with the wind’ with their
pictures and biographies.”
WHERE MOVIE_ACTORS.title=”Gone with the wind”
DISPLAY PANEL main, PANEL info ON main (east),
WITH MOVIE_ACTORS.name AS list ON main (west),
ACTORS.picture AS image ON info (north),
ACTORS.biography AS text ON info (south)
IN MULTIMEDIA DATABASES