{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/content-based-image-retrieval/papers/2","list_of":"/task/content-based-image-retrieval","task":"Content-Based Image Retrieval","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,195],"of":195,"counts":{"archive_papers_tagged":195,"with_a_code_link":34,"where_syntology_ran_a_sample":3,"not_listed_spam_title":0,"listed":195,"listed_where_code_ran":3,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":3,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":3,"listed_every_run_a_failure_of_syntologys_instrument":0,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/content-based-image-retrieval","prev":"/task/content-based-image-retrieval","next":null,"papers":[{"url":null,"slug":"190909722","title":"Content-based image retrieval using Mix histogram","date":"2019-09-20","arxiv_id":"1909.09722","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-aggregation-of-regional-convolutional","title":"Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval","date":"2019-09-20","arxiv_id":"1909.09420","repositories_listed":0,"syntology":null},{"url":null,"slug":"challenging-deep-image-descriptors-for","title":"Challenging deep image descriptors for retrieval in heterogeneous iconographic collections","date":"2019-09-19","arxiv_id":"1909.08866","repositories_listed":0,"syntology":null},{"url":null,"slug":"visir-visual-and-semantic-image-label","title":"VISIR: Visual and Semantic Image Label Refinement","date":"2019-09-02","arxiv_id":"1909.00741","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-cnn-and-classic-features-for","title":"A Comparison of CNN and Classic Features for Image Retrieval","date":"2019-08-25","arxiv_id":"1908.09300","repositories_listed":0,"syntology":null},{"url":null,"slug":"genetic-algorithms-for-the-optimization-of","title":"Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval","date":"2019-08-19","arxiv_id":"1908.06896","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-aware-semantic-concept-expansion","title":"Knowledge Aware Semantic Concept Expansion for Image-Text Matching","date":"2019-08-10","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-fast-content-based-image-retrieval-method","title":"A Fast Content-Based Image Retrieval Method Using Deep Visual Features","date":"2019-08-05","arxiv_id":"1908.01505","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-approaches-for-image-retrieval","title":"Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents","date":"2019-07-22","arxiv_id":"1907.09404","repositories_listed":0,"syntology":null},{"url":null,"slug":"linking-art-through-human-poses","title":"Linking Art through Human Poses","date":"2019-07-08","arxiv_id":"1907.03537","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-unsupervised-near-duplicate","title":"Benchmarking unsupervised near-duplicate image detection","date":"2019-07-03","arxiv_id":"1907.02821","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-curated-image-parameter-dataset-from-solar","title":"A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission","date":"2019-06-03","arxiv_id":"1906.01062","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-analysis-of-object-embeddings-for-image","title":"Efficient Object Embedding for Spliced Image Retrieval","date":"2019-05-28","arxiv_id":"1905.11903","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-auxiliary-context-discrete-semantic","title":"Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval","date":"2019-04-25","arxiv_id":"1904.11207","repositories_listed":0,"syntology":null},{"url":null,"slug":"simultaneous-feature-aggregating-and-hashing-2","title":"Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning","date":"2019-04-24","arxiv_id":"1904.11820","repositories_listed":0,"syntology":null},{"url":null,"slug":"radiological-images-and-machine-learning","title":"Radiological images and machine learning: trends, perspectives, and prospects","date":"2019-03-27","arxiv_id":"1903.11726","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-concatenation-hashing-with","title":"Unsupervised Multi-modal Hashing for Cross-modal retrieval","date":"2019-03-26","arxiv_id":"1904.00726","repositories_listed":0,"syntology":null},{"url":null,"slug":"needle-in-a-haystack-a-framework-for-seeking","title":"Dynamic Spatial Verification for Large-Scale Object-Level Image Retrieval","date":"2019-03-24","arxiv_id":"1903.10019","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-hash-function-through-codewords","title":"Learning Hash Function through Codewords","date":"2019-02-22","arxiv_id":"1902.08639","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-retrieval-system-with","title":"Content-based image retrieval system with most relevant features among wavelet and color features","date":"2019-02-06","arxiv_id":"1902.02059","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-generation-and-application-of-medical","title":"Medical Image Super-Resolution Using a Generative Adversarial Network","date":"2019-01-30","arxiv_id":"1902.00369","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-supervised-hashing-leveraging-quadratic","title":"Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval","date":"2019-01-16","arxiv_id":"1901.05135","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-brain-tumor-retrieval-for-mr","title":"Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning","date":"2019-01-04","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-feature-weight-determination-using","title":"Automatic Feature Weight Determination using Indexing and Pseudo-Relevance Feedback for Multi-feature Content-Based Image Retrieval","date":"2018-12-11","arxiv_id":"1812.04215","repositories_listed":0,"syntology":null},{"url":null,"slug":"representing-pictures-with-emotions","title":"Representing pictures with emotions","date":"2018-12-06","arxiv_id":"1812.02523","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-efficient-image-retrieval-based-on-fusion","title":"An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features","date":"2018-11-30","arxiv_id":"1811.12695","repositories_listed":0,"syntology":null},{"url":null,"slug":"detailed-investigation-of-deep-features-with","title":"Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study","date":"2018-11-23","arxiv_id":"1811.09681","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-bottleneck-for-computer-vision-tasks","title":"Semantic bottleneck for computer vision tasks","date":"2018-11-06","arxiv_id":"1811.02234","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagnostic-accuracy-of-content-based","title":"Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features","date":"2018-10-22","arxiv_id":"1810.09487","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-embeddings-for-product-visual-search","title":"Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling","date":"2018-10-10","arxiv_id":"1810.04652","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-retrieval-from-awifs","title":"Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas","date":"2018-09-26","arxiv_id":"1809.10190","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dense-depth-representation-for-vlad","title":"A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval","date":"2018-08-15","arxiv_id":"1808.05022","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-practical-visual-search-engine-within","title":"Towards Practical Visual Search Engine within Elasticsearch","date":"2018-06-23","arxiv_id":"1806.08896","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-magnetic-resonance-image","title":"Classifying magnetic resonance image modalities with convolutional neural networks","date":"2018-04-16","arxiv_id":"1804.05764","repositories_listed":0,"syntology":null},{"url":null,"slug":"fractional-local-neighborhood-intensity","title":"Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm","date":"2017-12-30","arxiv_id":"1801.00187","repositories_listed":0,"syntology":null},{"url":null,"slug":"triagem-virtual-de-imagens-de-imuno","title":"Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões","date":"2017-12-03","arxiv_id":"1712.01695","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-deep-representations-of-medical","title":"Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval","date":"2017-11-22","arxiv_id":"1711.08490","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-color-quantization-optimization-approach","title":"A Genetic Algorithm Approach for ImageRepresentation Learning through Color Quantization","date":"2017-11-18","arxiv_id":"1711.06809","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-revisit-on-deep-hashings-for-large-scale","title":"A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval","date":"2017-11-16","arxiv_id":"1711.06016","repositories_listed":0,"syntology":null},{"url":null,"slug":"multinews-a-web-collection-of-an-aligned","title":"MultiNews: A Web collection of an Aligned Multimodal and Multilingual Corpus","date":"2017-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-self-balanced-min-cut-algorithm-for-image","title":"A Self-Balanced Min-Cut Algorithm for Image Clustering","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-real-valued-and-binary-gabor-radon","title":"Combining Real-Valued and Binary Gabor-Radon Features for Classification and Search in Medical Imaging Archives","date":"2017-09-27","arxiv_id":"1709.09754","repositories_listed":0,"syntology":null},{"url":null,"slug":"local-neighborhood-intensity-pattern-a-new","title":"Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval","date":"2017-09-07","arxiv_id":"1709.02463","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-non-metric-visual-similarity-for","title":"Learning Non-Metric Visual Similarity for Image Retrieval","date":"2017-09-05","arxiv_id":"1709.01353","repositories_listed":0,"syntology":null},{"url":null,"slug":"recent-advance-in-content-based-image","title":"Recent Advance in Content-based Image Retrieval: A Literature Survey","date":"2017-06-19","arxiv_id":"1706.06064","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-retrieval-based-on-late","title":"Content-Based Image Retrieval Based on Late Fusion of Binary and Local Descriptors","date":"2017-03-24","arxiv_id":"1703.08492","repositories_listed":0,"syntology":null},{"url":null,"slug":"differential-geometric-retrieval-of-deep","title":"Differential Geometric Retrieval of Deep Features","date":"2017-02-21","arxiv_id":"1702.06383","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieving-similar-x-ray-images-from-big","title":"Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections","date":"2017-01-02","arxiv_id":"1701.00449","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-extraction-and-soft-computing-methods","title":"Feature Extraction and Soft Computing Methods for Aerospace Structure Defect Classification","date":"2016-11-15","arxiv_id":"1611.04782","repositories_listed":0,"syntology":null},{"url":null,"slug":"texture-and-color-based-image-retrieval-using","title":"Texture and Color-based Image Retrieval Using the Local Extrema Features and Riemannian Distance","date":"2016-11-07","arxiv_id":"1611.02102","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-retrieval-cbir-in-remote","title":"Content Based Image Retrieval (CBIR) in Remote Clinical Diagnosis and Healthcare","date":"2016-10-10","arxiv_id":"1610.02902","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-retrieval-using","title":"Content-Based Image Retrieval Using Multiresolution Analysis Of Shape-Based Classified Images","date":"2016-10-08","arxiv_id":"1610.02509","repositories_listed":0,"syntology":null},{"url":null,"slug":"stacked-autoencoders-for-medical-image-search","title":"Stacked Autoencoders for Medical Image Search","date":"2016-10-02","arxiv_id":"1610.00320","repositories_listed":0,"syntology":null},{"url":null,"slug":"aggregating-binary-local-descriptors-for","title":"Aggregating Binary Local Descriptors for Image Retrieval","date":"2016-08-02","arxiv_id":"1608.00813","repositories_listed":0,"syntology":null},{"url":"/paper/visual-relationship-detection-with-language","slug":"visual-relationship-detection-with-language","title":"Visual Relationship Detection with Language Priors","date":"2016-07-31","arxiv_id":"1608.00187","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-tagging-and-retrieval-of-e-commerce","title":"Automatic tagging and retrieval of E-Commerce products based on visual features","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gabor-barcodes-for-medical-image-retrieval","title":"Gabor Barcodes for Medical Image Retrieval","date":"2016-05-14","arxiv_id":"1605.04478","repositories_listed":0,"syntology":null},{"url":null,"slug":"binary-codes-for-tagging-x-ray-images-via","title":"Binary Codes for Tagging X-Ray Images via Deep De-Noising Autoencoders","date":"2016-04-24","arxiv_id":"1604.07060","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-top-precision-performance-measure","title":"Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function","date":"2016-04-22","arxiv_id":"1604.06620","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-binary-tags-for-fast-medical-image","title":"Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform","date":"2016-04-16","arxiv_id":"1604.04676","repositories_listed":0,"syntology":null},{"url":null,"slug":"radon-features-and-barcodes-for-medical-image","title":"Radon Features and Barcodes for Medical Image Retrieval via SVM","date":"2016-04-16","arxiv_id":"1604.04675","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-with-a-bayesian-model-of","title":"Image Retrieval with a Bayesian Model of Relevance Feedback","date":"2016-03-31","arxiv_id":"1603.09522","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-deep-convolutional-neural-network","title":"Large Scale Deep Convolutional Neural Network Features Search with Lucene","date":"2016-03-31","arxiv_id":"1603.09687","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-image-retrieval-by-sparse-product","title":"Scalable Image Retrieval by Sparse Product Quantization","date":"2016-03-15","arxiv_id":"1603.04614","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-descriptors-for-content-based","title":"Visual descriptors for content-based retrieval of remote sensing images","date":"2016-02-02","arxiv_id":"1602.00970","repositories_listed":0,"syntology":null},{"url":null,"slug":"local-convolutional-features-with","title":"Local Convolutional Features With Unsupervised Training for Image Retrieval","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-based-on-lbp-pyramidal","title":"Image Retrieval Based on LBP Pyramidal Multiresolution using Reversible Watermarking","date":"2015-09-20","arxiv_id":"1509.06035","repositories_listed":0,"syntology":null},{"url":null,"slug":"kernelized-deep-convolutional-neural-network","title":"Kernelized Deep Convolutional Neural Network for Describing Complex Images","date":"2015-09-15","arxiv_id":"1509.04581","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-analysis-of-retrieval","title":"A Comparative Analysis of Retrieval Techniques In Content Based Image Retrieval","date":"2015-08-27","arxiv_id":"1508.06728","repositories_listed":0,"syntology":null},{"url":null,"slug":"autoencoding-the-retrieval-relevance-of","title":"Autoencoding the Retrieval Relevance of Medical Images","date":"2015-07-05","arxiv_id":"1507.01251","repositories_listed":0,"syntology":null},{"url":null,"slug":"techniques-for-effective-and-efficient-fire","title":"Techniques for effective and efficient fire detection from social media images","date":"2015-06-11","arxiv_id":"1506.03844","repositories_listed":0,"syntology":null},{"url":null,"slug":"color-image-retrieval-using-fuzzy-measure","title":"Color Image Retrieval Using Fuzzy Measure Hamming and S-Tree","date":"2015-06-03","arxiv_id":"1506.01166","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-system-base-on-emd-similarity","title":"Image Retrieval System Base on EMD Similarity Measure and S-Tree","date":"2015-06-03","arxiv_id":"1506.01165","repositories_listed":0,"syntology":null},{"url":null,"slug":"mapping-visual-features-to-semantic-profiles","title":"Mapping Visual Features to Semantic Profiles for Retrieval in Medical Imaging","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rbir-using-interest-regions-and-binary","title":"RBIR using Interest Regions and Binary Signatures","date":"2015-06-01","arxiv_id":"1506.00368","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-dictionary-matching-for-content-based","title":"Fast Dictionary Matching for Content-based Image Retrieval","date":"2015-04-26","arxiv_id":"1504.06864","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-eeg-for-object-detection-and","title":"Exploring EEG for Object Detection and Retrieval","date":"2015-04-09","arxiv_id":"1504.02356","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-level-features-for-image-retrieval-based","title":"Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram","date":"2015-03-12","arxiv_id":"1503.03606","repositories_listed":0,"syntology":null},{"url":null,"slug":"describing-colors-textures-and-shapes-for","title":"Describing Colors, Textures and Shapes for Content Based Image Retrieval - A Survey","date":"2015-02-25","arxiv_id":"1502.07041","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-approach-for-improved-content-based","title":"A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation","date":"2015-02-11","arxiv_id":"1502.03215","repositories_listed":0,"syntology":null},{"url":null,"slug":"texture-retrieval-via-the-scattering","title":"Texture Retrieval via the Scattering Transform","date":"2015-01-12","arxiv_id":"1501.02655","repositories_listed":0,"syntology":null},{"url":null,"slug":"pinview-implicit-feedback-in-content-based","title":"PinView: Implicit Feedback in Content-Based Image Retrieval","date":"2014-10-02","arxiv_id":"1410.0471","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-and-classification-using","title":"Image Retrieval And Classification Using Local Feature Vectors","date":"2014-09-02","arxiv_id":"1409.0749","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-shortlist-method-for-fast-computation-of","title":"The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems","date":"2014-05-30","arxiv_id":"1405.7903","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-annotation-with-iso-space","title":"Image Annotation with ISO-Space: Distinguishing Content from Structure","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"large-margin-learning-of-compact-binary-image","title":"Large-margin Learning of Compact Binary Image Encodings","date":"2014-02-26","arxiv_id":"1402.6383","repositories_listed":0,"syntology":null},{"url":null,"slug":"pareto-depth-for-multiple-query-image","title":"Pareto-depth for Multiple-query Image Retrieval","date":"2014-02-21","arxiv_id":"1402.5176","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-on-sparse-coded-features-for-content","title":"Survey on Sparse Coded Features for Content Based Face Image Retrieval","date":"2014-02-20","arxiv_id":"1402.4888","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-indexing-and-retrieval","title":"Content Based Image Indexing and Retrieval","date":"2014-01-08","arxiv_id":"1401.1742","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-retrieval-system-using","title":"Content Based Image Retrieval System using Feature Classification with Modified KNN Algorithm","date":"2013-07-17","arxiv_id":"1307.4717","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-sub-block-based-image-retrieval-using","title":"A Sub-block Based Image Retrieval Using Modified Integrated Region Matching","date":"2013-07-05","arxiv_id":"1307.1561","repositories_listed":0,"syntology":null},{"url":null,"slug":"further-results-on-dissimilarity-spaces-for","title":"Further results on dissimilarity spaces for hyperspectral images RF-CBIR","date":"2013-07-04","arxiv_id":"1307.1289","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-using-histogram-factorization","title":"Image Retrieval using Histogram Factorization and Contextual Similarity Learning","date":"2013-04-07","arxiv_id":"1304.1995","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparative-study-and-optimization-of-feature","title":"Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval","date":"2012-08-30","arxiv_id":"1208.6335","repositories_listed":0,"syntology":null},{"url":null,"slug":"computing-similarity-between-cultural","title":"Computing Similarity between Cultural Heritage Items using Multimodal Features","date":"2012-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"fa8224b4f0de7fe8d0f7568c3fb2b24156d2f58ab239a548fb733de5847b2243","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}