caa a22 4500 445322209 CHVBK 20180317142707.0 cr unu---uuuuu 170323e20111101xx s 000 0 eng 10.1007/s00530-011-0231-3 doi (NATIONALLICENCE)springer-10.1007/s00530-011-0231-3 Query quality refinement in singular value decomposition to improve genetic algorithms for multimedia data retrieval [Elektronische Daten] [Wilson Cheruiyot, Guan-Zheng Tan, Felix Musau, Joseph Mushi] 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 efficient 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. Springer-Verlag, 2011 Multimedia Digital Database nationallicence Singular value decomposition nationallicence Genetic algorithms nationallicence Multimedia information retrieval nationallicence Query quality refinement nationallicence Cheruiyot Wilson School of Information Science and Engineering, Central South University, 410083, Changsha, People's Republic of China aut Tan Guan-Zheng School of Information Science and Engineering, Central South University, 410083, Changsha, People's Republic of China aut Musau Felix Trusted Computing Institute, Central South University, 410083, Changsha, People's Republic of China aut Mushi Joseph School of Information Science and Engineering, Central South University, 410083, Changsha, People's Republic of China aut Multimedia Systems Springer-Verlag 17/6(2011-11-01), 507-521 0942-4962 17:6<507 2011 17 530 https://doi.org/10.1007/s00530-011-0231-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00530-011-0231-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cheruiyot Wilson School of Information Science and Engineering, Central South University, 410083, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Tan Guan-Zheng School of Information Science and Engineering, Central South University, 410083, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Musau Felix Trusted Computing Institute, Central South University, 410083, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Mushi Joseph School of Information Science and Engineering, Central South University, 410083, Changsha, People's Republic of China aut NATIONALLICENCE 773 0- Multimedia Systems Springer-Verlag 17/6(2011-11-01), 507-521 0942-4962 17:6<507 2011 17 530 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer