Multimedia Information Retrieval
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases eBooks & eLearning
Posted by insetes at Feb. 25, 2019
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases By Peter Schäuble (auth.)
1997 | 190 Pages | ISBN: 1461378257 | PDF | 8 MB
1997 | 190 Pages | ISBN: 1461378257 | PDF | 8 MB
"Multimedia Information Retrieval" ed. by Eduardo Quevedo eBooks & eLearning
Posted by exLib at July 2, 2021
"Multimedia Information Retrieval" ed. by Eduardo Quevedo
ITexLi | 2021 | ISBN:1838800603 9781838800604 183880059X 9781838800598 1838805400 9781838805401 | 115 pages | PDF | 8 MB
ITexLi | 2021 | ISBN:1838800603 9781838800604 183880059X 9781838800598 1838805400 9781838805401 | 115 pages | PDF | 8 MB
This book presents recent applications of Multimedia Information Retrieval (MMIR or MIR) for content-based image retrieval, bioinformation analysis and processing, forensic multimedia retrieval techniques, and audio and music classification.
Distributed Multimedia Information Retrieval eBooks & eLearning
Posted by step778 at Oct. 12, 2018
Jamie Callan, Fabio Crestani, Mark Sanderson, "Distributed Multimedia Information Retrieval"
2004 | pages: 186 | ISBN: 3540208755 | PDF | 2,5 mb
2004 | pages: 186 | ISBN: 3540208755 | PDF | 2,5 mb
Information Retrieval for Music and Motion eBooks & eLearning
Posted by tot167 at Dec. 16, 2008
Meinard Müller “Information Retrieval for Music and Motion"
Springer | 2007-10-01 | ISBN: 3540740473 | 318 pages | PDF | 19 MB
Springer | 2007-10-01 | ISBN: 3540740473 | 318 pages | PDF | 19 MB
Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception [Repost] eBooks & eLearning
Posted by ChrisRedfield at Feb. 18, 2014
![Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception [Repost]](https://pixhost.icu/avaxhome/f1/21/002b21f1_medium.jpeg)
Edward Y. Chang - Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception
Published: 2011-08-01 | ISBN: 3642204287 | PDF | 317 pages | 6 MB
Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception eBooks & eLearning
Posted by tot167 at Sept. 18, 2011
Edward Y. Chang, "Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception"
Sp nger | 2011 | ISBN: 3642204287 | 309 pages | PDF | 6,9 MB
Sp nger | 2011 | ISBN: 3642204287 | 309 pages | PDF | 6,9 MB
Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception (Repost) eBooks & eLearning
Posted by leonardo78 at July 22, 2018
Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception by Edward Y. Chang
Language: English | 2011 | ISBN: 3642204287 | 291 pages | PDF | 6,85 MB
Language: English | 2011 | ISBN: 3642204287 | 291 pages | PDF | 6,85 MB
"Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and …
Principles of Visual Information Retrieval eBooks & eLearning
Posted by insetes at Feb. 22, 2019
Principles of Visual Information Retrieval By Michael S. Lew, Thomas S. Huang (auth.), Michael S. Lew PhD (eds.)
2001 | 356 Pages | ISBN: 1849968683 | PDF | 14 MB
2001 | 356 Pages | ISBN: 1849968683 | PDF | 14 MB
Information Retrieval Technology eBooks & eLearning
Posted by nebulae at March 14, 2016
Mohamed Salem, "Information Retrieval Technology"
English | ISBN: 3642256309 | 2012 | 644 pages | PDF | 10 MB
English | ISBN: 3642256309 | 2012 | 644 pages | PDF | 10 MB
Multimedia Retrieval eBooks & eLearning
Posted by AvaxGenius at June 12, 2018
Multimedia Retrieval by Henk M. Blanken
English | PDF | 2007 | 384 Pages | ISBN : 3540728945 | 11.36 MB
Retrieval of multimedia data is different from retrieval of structured data. A key problem in multimedia databases is search, and the proposed solutions to the problem of multimedia information retrieval span a rather wide spectrum of topics outside the traditional database area, ranging from information retrieval and human–computer interaction to computer vision and pattern recognition.