Tools, Techniques and Models for Multimedia Database Mining

Advances in multimedia acquisition and storage technology have led to tremendous growth in very large and detailed multimedia databases. Analyzing this huge amount of multimedia data to discover useful knowledge is a challenging problem. This challenge has opened the opportunity for research in Multimedia Data Mining (MDM). Multimedia data mining can be defined as the process of finding interesting patterns from media data such as audio, video, image and text that are not ordinarily accessible by basic queries and associated results. The motivation for doing MDM is to use the discovered patterns to improve decision making. MDM has therefore attracted significant research efforts in developing methods and tools to organize, manage, search and perform domain specifi c tasks for data from domains such as surveillance, meetings, broadcast news, sports, archives, movies, medical data, as well as personal and online media collections.If these multimedia files are analyzed, useful information to users can be revealed. Multimedia mining deals with the extraction of implicit knowledge, multimedia data relationships, or other patterns not explicitly stored in multimedia files. Multimedia mining is more than just an extension of data mining, as it is an interdisciplinary endeavor that draws upon exper tise in computer vision, multimedia processing, multimedia retrieval, data mining, machine learning, database and artificial intellige nce. This paper describes the tools, well known techniques and models for multimedia database mining.