|
![]() |
|||
|
||||
OverviewCollecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications. Two of the most active researchers in multimedia data mining explore how this young area has rapidly developed in recent years. The book first discusses the theoretical foundations of multimedia data mining, presenting commonly used feature representation, knowledge representation, statistical learning, and soft computing techniques. It then provides application examples that showcase the great potential of multimedia data mining technologies. In this part, the authors show how to develop a semantic repository training method and a concept discovery method in an imagery database. They demonstrate how knowledge discovery helps achieve the goal of imagery annotation. The authors also describe an effective solution to large-scale video search, along with an application of audio data classification and categorization. This novel, self-contained book examines how the merging of multimedia and data mining research can promote the understanding and advance the development of knowledge discovery in multimedia data. Full Product DetailsAuthor: Zhongfei Zhang (State University of New York, Binghamton, USA) , Ruofei Zhang (Yahoo Inc., Sunnyvale, California, USA)Publisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.621kg ISBN: 9780367386276ISBN 10: 0367386275 Pages: 320 Publication Date: 18 October 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationZhang, Zhongfei; Zhang, Ruofei Tab Content 6Author Website:Countries AvailableAll regions |