SOTAVerified

Content-Based Image Retrieval

Content-Based Image Retrieval is a well studied problem in computer vision, with retrieval problems generally divided into two groups: category-level retrieval and instance-level retrieval. Given a query image of the Sydney Harbour bridge, for instance, category-level retrieval aims to find any bridge in a given dataset of images, whilst instance-level retrieval must find the Sydney Harbour bridge to be considered a match.

Source: Camera Obscurer: Generative Art for Design Inspiration

Papers

Showing 176195 of 195 papers

TitleStatusHype
Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and RetrievalCode0
Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram0
Describing Colors, Textures and Shapes for Content Based Image Retrieval - A Survey0
A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation0
Texture Retrieval via the Scattering Transform0
PinView: Implicit Feedback in Content-Based Image Retrieval0
Image Retrieval And Classification Using Local Feature Vectors0
The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems0
Image Annotation with ISO-Space: Distinguishing Content from Structure0
Large-margin Learning of Compact Binary Image Encodings0
Pareto-depth for Multiple-query Image Retrieval0
Survey on Sparse Coded Features for Content Based Face Image Retrieval0
Content Based Image Indexing and Retrieval0
Content Based Image Retrieval System using Feature Classification with Modified KNN Algorithm0
A Sub-block Based Image Retrieval Using Modified Integrated Region Matching0
Further results on dissimilarity spaces for hyperspectral images RF-CBIR0
Image Retrieval using Histogram Factorization and Contextual Similarity Learning0
Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval0
Gray Level Co-Occurrence Matrices: Generalisation and Some New FeaturesCode0
Computing Similarity between Cultural Heritage Items using Multimodal Features0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94Unverified