Data Mining Multimedia Databases by Lakshmikantha Vibha (4 results)
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Taschenbuch. Condition: Neu. Data Mining for Multimedia Databases | Efficient Algorithms for Multimedia Mining | Vibha Lakshmikantha (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659139116 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]p…reigu[dot]de | Anbieter: preigu.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lakshmikantha VibhaDr. 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, .
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
