DocumentCode :
121794
Title :
An exhaustive study on data mining techniques in mining of Multimedia database
Author :
Yadav, Praveen Kumar ; Rizvi, Syed
Author_Institution :
Dept. of Comput. Sci. & Eng., Krishna Inst. of Eng. & Technol., Ghaziabad, India
fYear :
2014
fDate :
7-8 Feb. 2014
Firstpage :
541
Lastpage :
545
Abstract :
Multimedia database can be define as a collection of storage and retrieval systems, in which large amount of media objects are created, modified, searched and retrieved, where as Multimedia is the combination of text, image, graphics, animations, audio and video. The extension of database application to handle multimedia objects requires synchronization of multiple media data streams. Multimedia data mining refers to the extraction of implicit knowledge, data relationships, or other patterns which are not stored in multimedia files explicitly. The system´s overall performance in retrieval can be increase by indexing and classification of multimedia data with efficient information fusion of the different modalities is mandatory. Apart from text retrieval, the current waves in web searching and multimedia data retrieval are the search for and delivery of 3D scenes, images, music and video. The content-based multimedia information retrieval provides new techniques and methods for searching various multimedia databases over the world.
Keywords :
content-based retrieval; data mining; database indexing; multimedia databases; pattern classification; synchronisation; text analysis; 3D scenes; Web searching; content-based multimedia information retrieval; data storage collection; information fusion; knowledge extraction; media objects; multimedia data classification; multimedia data indexing; multimedia data mining techniques; multimedia data retrieval system; multimedia database mining; multimedia files; multiple media data stream synchronization; text retrieval; Analytical models; Data mining; Databases; Lead; Multimedia communication; Streaming media; Audio and Video Mining; Image Mining; Map Reduce; Query Optimization; Spatial data mining; Text Mining; web mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on
Conference_Location :
Ghaziabad
Type :
conf
DOI :
10.1109/ICICICT.2014.6781339
Filename :
6781339
Link To Document :
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