| dc.creator |
Cheruiyot, Wilson |
|
| dc.creator |
Tan, Guanzheng |
|
| dc.creator |
Musau, Felix |
|
| dc.creator |
Mushi, Joseph C. |
|
| dc.date |
2016-07-25T16:31:25Z |
|
| dc.date |
2016-07-25T16:31:25Z |
|
| dc.date |
2011-11 |
|
| dc.date.accessioned |
2018-03-27T08:52:57Z |
|
| dc.date.available |
2018-03-27T08:52:57Z |
|
| dc.identifier |
Cheruiyot, W., Tan, G.Z., Musau, F. and Mushi, J.C., 2011. Query quality refinement in singular value decomposition to improve genetic algorithms for multimedia data retrieval. Multimedia systems, 17(6), pp.507-521. |
|
| dc.identifier |
http://hdl.handle.net/20.500.11810/3425 |
|
| dc.identifier |
10.1007/s00530-011-0231-3 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.11810/3425 |
|
| dc.description |
With the development of internet and availability
of multimedia data capturing devices, the size
of Multimedia Digital Database (MDD) collection is
increasing rapidly. The complex data presented by such
systems do not have the total ordering property presented by
the traditional data handled by Database Management Systems
(DBMSs). The quality of the search experience in such
systems is also normally a big challenge since users from
various domains require efficient data searching, browsing
and retrieval tools. This has triggered an important research
topic in Multimedia information retrieval concerning effi-
cient and effective image similarity search. Modern search
algorithms are fast and effective on a wide range of problems,
but on MDD with a large number of parameters and
observations, manipulations of large matrices, storage and
retrieval of large amounts of information may render an
otherwise useful method slow or inoperable. The focus of
this work is the application of image enhancement technique,
using histogram equalization, to the images retrieved using
singular value decomposition (SVD). SVD is a linear algebra
technique used for discovering correlations within data. The
approach, herein referred to as query quality refinement
(QQR) technique, improves the image similarity search
result, and when incorporated with genetic algorithms further
optimizes the search. These beneficial applications can
be extended to other different types of multimedia data in
various areas such as the P2P and WiMAX networks. |
|
| dc.language |
en |
|
| dc.publisher |
Springer |
|
| dc.subject |
Multimedia Digital Database |
|
| dc.subject |
Singular value decomposition |
|
| dc.subject |
Genetic algorithms |
|
| dc.subject |
Multimedia information retrieval |
|
| dc.subject |
Query quality refinement |
|
| dc.title |
Query Quality Refinement in Singular Value Decomposition to Improve Genetic Algorithms for Multimedia Data Retrieval |
|
| dc.type |
Journal Article, Peer Reviewed |
|