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Semantic Multimedia Information Analysis for Retrieval Applications
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Most of the research in multimedia retrieval applications has focused on retrieval by content or retrieval by example. Since the classical review by Smeulders, Worring, Santini, Gupta, and Jain (2000), a new interest has grown immensely in the multimedia information retrieval community: retrieval by semantics. This exciting new research area arises as a combination of multimedia understanding, information extraction, information retrieval, and digital libraries. This chapter presents a comprehensive review of analysis algorithms in order to extract semantic information from multimedia content. We discuss statistical approaches to analyze images and video content and conclude with a discussion regarding the described methods.
Title: Semantic Multimedia Information Analysis for Retrieval Applications
Description:
Most of the research in multimedia retrieval applications has focused on retrieval by content or retrieval by example.
Since the classical review by Smeulders, Worring, Santini, Gupta, and Jain (2000), a new interest has grown immensely in the multimedia information retrieval community: retrieval by semantics.
This exciting new research area arises as a combination of multimedia understanding, information extraction, information retrieval, and digital libraries.
This chapter presents a comprehensive review of analysis algorithms in order to extract semantic information from multimedia content.
We discuss statistical approaches to analyze images and video content and conclude with a discussion regarding the described methods.
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