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

DOI10.1016/j.patcog.2006.04.045zbMath1103.68503OpenAlexW2046589280MaRDI QIDQ853135

Dengsheng Zhang, Guojun Lu, Wei-Ying Ma, Ying Liu

Publication date: 15 November 2006

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.04.045

zbMATH Keywords

surveycontent-based image retrievalsemantic gaphigh-level semantics

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Information storage and retrieval of data (68P20)

Related Items (19)

Stochasticity: a feature for the structuring of large and heterogeneous image databases ⋮ Content-based image retrieval using a signature graph and a self-organizing map ⋮ Improved support vector machine algorithm for heterogeneous data ⋮ Image data analysis and classification in marketing ⋮ Relating brand confusion to ad similarities and brand strengths through image data analysis and classification ⋮ A multi-scale and multi-orientation image retrieval method based on rotation-invariant texture features ⋮ Study on rotation-invariant texture feature extraction for tire pattern retrieval ⋮ New image descriptor from edge detector and blob extractor ⋮ An endmember-based distance for content based hyperspectral image retrieval ⋮ Region-based image retrieval with high-level semantics using decision tree learning ⋮ Learning how to extract rotation-invariant and scale-invariant features from texture images ⋮ Image retrieval based on multi-texton histogram ⋮ Fuzzy aesthetic semantics description and extraction for art image retrieval ⋮ KEYPICS: FREE–HAND DRAWN ICONIC KEYWORDS ⋮ Adaptive image segmentation for region-based object retrieval using generalized Hough transform ⋮ A novel discriminant minimum class locality preserving canonical correlation analysis and its applications ⋮ Multi region based image retrieval system ⋮ Attention-driven salient edge(s) and region(s) extraction with application to CBIR ⋮ Learning 3D semantic scene graphs with instance embeddings

Uses Software

• WordNet
• ElemStatLearn
• VisualSEEk
• AS 136
• NeTra
• SIMPLIcity
• Chabot
• EMD

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• On the handling of continuous-valued attributes in decision tree generation
• Quad trees: A data structure for retrieval by composite keys
• Picture Indexing and Abstraction Techniques for Pictorial Databases
• On the Efficient Evaluation of Probabilistic Similarity Functions for Image Retrieval
• Image classification for content-based indexing
• Recent Studies in Automatic Text Analysis and Document Retrieval
• Algorithms and Computation
• The elements of statistical learning. Data mining, inference, and prediction
• Shape similarity retrieval under affine transforms
• Negotiating the semantic gap: From feature maps to semantic landscapes

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