A Summary of Semantics-based Image Retrieval
Huifeng Wang
Abstract
Huifeng Wang
Abstract
In image retrieval system today, there exists a significant gap between the user's information needs and what the systems can deliver. To increase the image retrieval system's ability, we require a proper semantic description for image content. In this article, we give a comprehensive discuss about multi-level semantic modeling and knowledge representation in image retrieval, especially about the methods with which to mapping visual features to high lever image semantic contents. To make image retrieval using semantics efficiently and effectively, we point out the research progress we need to make at present and future.
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In image retrieval system today, there exists a significant gap between the user's information needs and what the systems can deliver. To increase the image retrieval system's ability, we require a proper semantic description for image content. In this article, we give a comprehensive discuss about multi-level semantic modeling and knowledge representation in image retrieval, especially about the methods with which to mapping visual features to high lever image semantic contents. To make image retrieval using semantics efficiently and effectively, we point out the research progress we need to make at present and future.
Key concepts: Computer science, Image retrieval, Information retrieval, Semantics (computer science), Semantic gap, Automatic image annotation, Visual Word, Image (mathematics)