An efficient image retrieval system with structured query based feature selection and filtering initial level relevant images using range query

Autor: C. Seldev Christopher, J. Annrose
Rok vydání: 2018
Předmět:
Normalization (statistics)
SQL
Range query (data structures)
Computer science
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Feature selection
02 engineering and technology
Content-based image retrieval
Query optimization
Ranking (information retrieval)
Query expansion
Web query classification
0202 electrical engineering
electronic engineering
information engineering
Visual Word
Electrical and Electronic Engineering
Image retrieval
computer.programming_language
Web search query
business.industry
Search engine indexing
020207 software engineering
Pattern recognition
Atomic and Molecular Physics
and Optics
Electronic
Optical and Magnetic Materials
Euclidean distance
Feature (computer vision)
020201 artificial intelligence & image processing
Artificial intelligence
business
Precision and recall
computer
Subspace topology
Zdroj: Optik. 157:1053-1064
ISSN: 0030-4026
Popis: Content Based Image Retrieval is a proficient way of storing, managing, indexing, searching, browsing, mining or retrieving images from a large image repository. Most of the researchers are intensely competing for developing an efficient and precise image retrieval system with less time and space constraint. The proposed method creates two different techniques to reduce the space and time constraints. The first method develops an efficient CBIR system by reducing a number of features to obtain an optimal feature subset using SQL query based feature selection for the normalized feature set. The second method uses SQL range query to filter out initial level relevant images and further the Euclidean distance is applied to refine the filtered subspace inorder to obtain the most relevant images. Gray-level co-occurrence matrix, Region based image descriptors and dominant color descriptor are used to extract the features. Elapsed time, retrieval precision and recall are the evaluation metrics used to analyze the performance with other image retrieval systems. The experiment was performed on Corel dataset and it shows superior performance over the previous systems.
Databáze: OpenAIRE
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