Data Mining for Multimedia Databases: Efficient Algorithms for Multimedia Mining - Couverture souple

Lakshmikantha, Vibha; K. R., Venugopal; Shenoy, P. Deepa

 
9783659139116: Data Mining for Multimedia Databases: Efficient Algorithms for Multimedia Mining
Couverture souple
ISBN 10 : 3659139114 ISBN 13 : 9783659139116
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Database mining refers to extracting previously unrecognized information from data stored in conventional databases. Multimedia data mining deals with the extraction of implicit knowledge, multimedia data relationships, or other patterns not explicitly stored in multimedia databases. Three specific kinds of multimedia databases like image, video and remote sensed image are dealt with. A simple kind of multimedia database i.e., static image, where each mammogram is a set of four images is considered. Statistical analysis is performed on them to classify them as normal, benign and malign. Next a more complex database like video is considered, where it begins with a slow moving video clip and then move towards a faster moving video clip, in identifying and tracking objects. A specialized multimedia data is chosen, where an image obtained from a remote sensed satellite. The image is segmented into distinct regions like barren land, vegetative area, water bodies etc., and then we count the number of trees in the vegetative area. The analysis and Literature Survey are useful for students and research community, who are working on Data Mining, signal processing and Multimedia Mining.

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Présentation de l'éditeur

Database mining refers to extracting previously unrecognized information from data stored in conventional databases. Multimedia data mining deals with the extraction of implicit knowledge, multimedia data relationships, or other patterns not explicitly stored in multimedia databases. Three specific kinds of multimedia databases like image, video and remote sensed image are dealt with. A simple kind of multimedia database i.e., static image, where each mammogram is a set of four images is considered. Statistical analysis is performed on them to classify them as normal, benign and malign. Next a more complex database like video is considered, where it begins with a slow moving video clip and then move towards a faster moving video clip, in identifying and tracking objects. A specialized multimedia data is chosen, where an image obtained from a remote sensed satellite. The image is segmented into distinct regions like barren land, vegetative area, water bodies etc., and then we count the number of trees in the vegetative area. The analysis and Literature Survey are useful for students and research community, who are working on Data Mining, signal processing and Multimedia Mining.

Biographie de l'auteur

Dr. Vibha L, Ph.D. (CSE) has three decades of Industrial and Teaching experience, Professor, CSE, BNMIT, Bangalore, India, has publications in International Conferences and Journals. Dr. Venugopal K R, Principal, UVCE, India, has 300 publications, 12 degrees and authored 32 books. Dr. P Deepa Shenoy, Professor, CSE, UVCE, has 100 Publications.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659139114
ISBN 13 
9783659139116
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
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