Machine Learning and Statistical Modeling Approaches to Image Retrieval

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieva...

Full description

Bibliographic Details
Main Authors: Chen, Yixin. (Author), Li, Jia. (Author), Wang, James Z. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: Boston, MA : Springer US, 2004.
Series:The Information Retrieval Series, 14
Subjects:
Online Access:View fulltext via EzAccess
LEADER 03676nam a22006615i 4500
001 23789
003 DE-He213
005 20151204174644.0
007 cr nn 008mamaa
008 100301s2004 xxu| s |||| 0|eng d
020 # # |a 9781402080357  |9 978-1-4020-8035-7 
024 7 # |a 10.1007/b116104  |2 doi 
050 # 4 |a QC350-467 
050 # 4 |a TA1501-1820 
050 # 4 |a QC392-449.5 
050 # 4 |a TA1750-1750.22 
072 # 7 |a TTB  |2 bicssc 
072 # 7 |a PHJ  |2 bicssc 
072 # 7 |a TEC030000  |2 bisacsh 
082 0 4 |a 621.36  |2 23 
100 1 # |a Chen, Yixin.  |e author. 
245 1 0 |a Machine Learning and Statistical Modeling Approaches to Image Retrieval  |c by Yixin Chen, Jia Li, James Z. Wang.  |h [electronic resource] / 
264 # 1 |a Boston, MA :  |b Springer US,  |c 2004. 
300 # # |a XVII, 182 p.  |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a The Information Retrieval Series,  |v 14  |x 1387-5264 ; 
505 0 # |a Image Retrieval and Linguistic Indexing -- Machine Learning and Statistical Modeling -- A Robust Region-Based Similarity Measure -- Cluster-Based Retrieval by Unsupervised Learning -- Categorization by Learning and Reasoning with Regions -- Automatic Linguistic Indexing of Pictures -- Modeling Ancient Paintings -- Conclusions and Future Work. 
520 # # |a In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well. 
650 # 0 |a Physics. 
650 # 0 |a Multimedia information systems. 
650 # 0 |a Artificial intelligence. 
650 # 0 |a Image processing. 
650 # 0 |a Management information systems. 
650 # 0 |a Computer science. 
650 # 0 |a Optics. 
650 # 0 |a Optoelectronics. 
650 # 0 |a Plasmons (Physics). 
650 # 0 |a Statistics. 
650 1 4 |a Physics. 
650 2 4 |a Optics, Optoelectronics, Plasmonics and Optical Devices. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Management of Computing and Information Systems. 
650 2 4 |a Statistics, general. 
650 2 4 |a Image Processing and Computer Vision. 
700 1 # |a Li, Jia.  |e author. 
700 1 # |a Wang, James Z.  |e author. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781402080340 
830 # 0 |a The Information Retrieval Series,  |v 14  |x 1387-5264 ; 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/b116104  |z View fulltext via EzAccess 
912 # # |a ZDB-2-SCS 
912 # # |a ZDB-2-BAE 
950 # # |a Computer Science (Springer-11645)