Techniques for content-based multimedia retrieval

Chia Hung Wei, Sherry Y. Chen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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.

Original languageEnglish
Title of host publicationMachine Learning Techniques for Adaptive Multimedia Retrieval
Subtitle of host publicationTechnologies, Applications, and Perspectives
PublisherIGI Global
Number of pages17
ISBN (Print)9781616928599
StatePublished - 2010


Dive into the research topics of 'Techniques for content-based multimedia retrieval'. Together they form a unique fingerprint.

Cite this