摘要
As the size of multimedia database grows, it becomes impractical to manually annotate all contents and attributes of the media, and the difficulty in finding desired information increases. To copy with these challenges, content-based multimedia retrieval systems have been developed for various applications. The chapter not only provides a conceptual architecture for the design of content-based retrieval system, but also discusses essential components of retrieval system and their research issues, including feature extraction and representation, dimension reduction of feature vector, indexing, and query specifications. As content-based multimedia retrieval is a young research field and there exists many challenging research problems, this chapter also addresses several research issues for the future research.
原文 | ???core.languages.en_GB??? |
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主出版物標題 | Machine Learning Techniques for Adaptive Multimedia Retrieval |
主出版物子標題 | Technologies, Applications, and Perspectives |
發行者 | IGI Global |
頁面 | 1-17 |
頁數 | 17 |
ISBN(列印) | 9781616928599 |
DOIs | |
出版狀態 | 已出版 - 2010 |