On-line content-based image retrieval system using joint querying and relevance feedback scheme
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Summary
An On-line Content-Based Image Retrieval System using joint querying and relevance feedback scheme based on both high-level and low-level features that significantly improves the retrieval performance of existing image search engine.
- Type
- article
- Published
- 2010-05-01
- Cited by
- 24
- References
- 32
- OpenAlex
- https://openalex.org/W98268499
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1779748
Keywords
Computer science, Correlogram, Image retrieval, Relevance feedback, Search engine indexing
References
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- Grid-based computer animation rendering
- MetaSEEk: a content-based metasearch engine for images
- Study of content-based image retrieval using parallel computing technique
- Search Result Clustering Based Relevance Feedback for Web Image Retrival
- VisualSEEk: a fully automated content-based image query system
- The Holy Grail of Multimedia Information Retrieval: So Close or Yet So Far Away?
- Interactive Remote-Sensing Image Retrieval Using Active Relevance Feedback
- The query by image content (QBIC) system
- Image retrieval: Ideas, influences, and trends of the new age
- A unified framework for image retrieval using keyword and visual features
- CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines
- Scheduling aspects for image retrieval in cluster-based image databases
- An image retrieval system with automatic query modification
- Storage and Retrieval for Image and Video Databases
Cited by
- Tag similarity for Flickr
- Statistical framework for image retrieval based on multiresolution features and similarity method
- Improving performance of content-based image retrieval schemes using Hadoop MapReduce
- Content based Image Retrieval System with Hybrid Feature Set and Recently Retrieved Image Library
- A Literature Review of Image Retrieval based on Semantic Concept
- RSTC-invariant object representation with 2D modified Mellin-Fourier transform
- TECHNOLOGY Content Based Image Retrieval: A Survey on the Start of Art
- Content Based Image Retrieval System with Feature Extraction and Recently Retrieved Image Library
- A Content Based Image Retrieval System using homogeneity Feature extraction from Recency-based Retrieved Image Library
- An Experiential Survey on Image Mining Tools, Techniques and Applications
- Improving Scalability of Java Archive Search Engine through Recursion Conversion And Multithreading
- A Review of Web Image Mining Tools, Techniques and Applications
- Novel QoS optimization paradigm for IoT systems with fuzzy logic and visual information mining integration
- A Literature Review of Image Retrieval based On Semantic Concept
- The Investigation of Image Mining Tools, Techniques and Applications
- A Literature Review of Image Retrieval based On Semantic Concept
- A Literature Review of Image Retrieval based On Semantic Concept
- A Literature Review of Image Retrieval based On Semantic Concept
- A Literature Review of Image Retrieval based On Semantic Concept
- A Literature Review of Image Retrieval based On Semantic Concept
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