A survey of content-based image retrieval with high-level semantics

Ying Liu, Dengsheng Zhang, Guojun Lu, Wei‐Ying Ma · Pattern Recognition · 2007

Summary

This paper attempts to provide a comprehensive survey of the recent technical achievements in high-level semantic-based image retrieval, identifying five major categories of the state-of-the-art techniques in narrowing down the 'semantic gap'.

Type: article
Published: 2007-01-01
Cited by: 1,969
References: 199
DOI: https://doi.org/10.1016/j.patcog.2006.04.045
OpenAlex: https://openalex.org/W2046589280
Semantic Scholar: https://api.semanticscholar.org/CorpusID:9160719

Keywords

Computer science, Image retrieval, Information retrieval, Semantic gap, Semantics (computer science)

References

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Indoor vs outdoor classification of consumer photographs using low-level and semantic featuresJiebo Luo, Andreas Savakis — 2001
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A survey of content-based image retrieval with high-level semantics

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