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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

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Showing 151–195 of 195 papers

TitleStatusHype
Aggregating Binary Local Descriptors for Image Retrieval—0
Visual Relationship Detection with Language Priors—0
Automatic tagging and retrieval of E-Commerce products based on visual features—0
Gabor Barcodes for Medical Image Retrieval—0
Binary Codes for Tagging X-Ray Images via Deep De-Noising Autoencoders—0
Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function—0
Radon Features and Barcodes for Medical Image Retrieval via SVM—0
Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform—0
Large Scale Deep Convolutional Neural Network Features Search with Lucene—0
Image Retrieval with a Bayesian Model of Relevance Feedback—0
Scalable Image Retrieval by Sparse Product Quantization—0
Visual descriptors for content-based retrieval of remote sensing images—0
Local Convolutional Features With Unsupervised Training for Image Retrieval—0
Image Retrieval Based on LBP Pyramidal Multiresolution using Reversible Watermarking—0
Kernelized Deep Convolutional Neural Network for Describing Complex Images—0
A Comparative Analysis of Retrieval Techniques In Content Based Image Retrieval—0
Hash Function Learning via CodewordsCode0
Autoencoding the Retrieval Relevance of Medical Images—0
Techniques for effective and efficient fire detection from social media images—0
Image Retrieval System Base on EMD Similarity Measure and S-Tree—0
Color Image Retrieval Using Fuzzy Measure Hamming and S-Tree—0
Mapping Visual Features to Semantic Profiles for Retrieval in Medical Imaging—0
RBIR using Interest Regions and Binary Signatures—0
Fast Dictionary Matching for Content-based Image Retrieval—0
Exploring EEG for Object Detection and Retrieval—0
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 Histogram—0
Describing Colors, Textures and Shapes for Content Based Image Retrieval - A Survey—0
A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation—0
Texture Retrieval via the Scattering Transform—0
PinView: Implicit Feedback in Content-Based Image Retrieval—0
Image Retrieval And Classification Using Local Feature Vectors—0
The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems—0
Image Annotation with ISO-Space: Distinguishing Content from Structure—0
Large-margin Learning of Compact Binary Image Encodings—0
Pareto-depth for Multiple-query Image Retrieval—0
Survey on Sparse Coded Features for Content Based Face Image Retrieval—0
Content Based Image Indexing and Retrieval—0
Content Based Image Retrieval System using Feature Classification with Modified KNN Algorithm—0
A Sub-block Based Image Retrieval Using Modified Integrated Region Matching—0
Further results on dissimilarity spaces for hyperspectral images RF-CBIR—0
Image Retrieval using Histogram Factorization and Contextual Similarity Learning—0
Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval—0
Gray Level Co-Occurrence Matrices: Generalisation and Some New FeaturesCode0
Computing Similarity between Cultural Heritage Items using Multimodal Features—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94—Unverified