Improved scene classification using efficient low-level features and semantic cues

DOI10.1016/j.patcog.2004.03.003zbMath1070.68562OpenAlexW2097208978MaRDI QIDQ1886678

Andreas E. Savakis, Navid Serrano, Jiebo Luo

Publication date: 18 November 2004

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2004.03.003

zbMATH Keywords

Bayesian networksWaveletsSupport vector machinesScene classificationSemantic features

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Related Items (5)

A new scene classification method based on local Gabor features ⋮ Semantic modeling of natural scenes based on contextual Bayesian networks ⋮ Multi-model classification method in heterogeneous image databases ⋮ An evolutionary patch pattern approach for texture discrimination ⋮ Boosting \(k\)-NN for categorization of natural scenes

Uses Software

• JPEG2000
• VisualSEEk
• NeTra

Cites Work

• On the selection of an optimal wavelet basis for texture characterization
• Classification of scene photographs from local orientations features
• A theory for multiresolution signal decomposition: the wavelet representation
• Image classification for content-based indexing
• From Image Analysis to Computer Vision: An Annotated Bibliography, 1955–1979

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