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Hybrid Bag-of-Visual-Words and FeatureWiz Selection for Content-Based Visual Information Retrieval.

Samy Bakheet1,2, Ayoub Al-Hamadi2, Emadeldeen Soliman1

  • 1Faculty of Computers and Artificial Intelligence, Sohag University, Sohag 82524, Egypt.

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Summary
This summary is machine-generated.

This study introduces a novel content-based image retrieval (CBIR) framework using fused visual features for enhanced performance. The approach combines multiple descriptors and machine learning for accurate image searching.

Keywords:
BoVWCBIRCaltech-10Corel-1000FeatureWizOxford Flower-17RootSIFTSURF and FAST detectorsSVMsinformation retrievalvisual words

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Image Processing

Background:

  • Content-based image retrieval (CBIR) is a key area in computer vision.
  • The bag-of-visual-words (BoVW) model is a prominent technique for CBIR.
  • Existing methods face challenges in achieving optimal retrieval accuracy.

Purpose of the Study:

  • To propose a new CBIR framework that improves retrieval performance.
  • To leverage the fusion of multiple feature descriptors for robust image representation.
  • To enhance the efficiency and accuracy of the BoVW model in CBIR.

Main Methods:

  • Interest points extracted using FAST and SURF features, fused into a single vector.
  • Improved RootSIFT algorithm for describing keypoint regions.
  • FeatureWiz algorithm for feature reduction and selection.
  • K-means clustering for visual word codebook generation.
  • Support Vector Machines (SVMs) classifier for image retrieval.
  • Inverted index with cosine distance for ranking.

Main Results:

  • Achieved high average accuracies: 92.94% on Corel-1000, 98.40% on Caltech-10, and 84.94% on Oxford Flower-17.
  • Demonstrated comparable or superior performance to state-of-the-art CBIR techniques.
  • The proposed fusion of multiple descriptors significantly enhances retrieval accuracy.

Conclusions:

  • The developed CBIR framework effectively integrates multiple feature descriptors.
  • The fusion strategy and optimized BoVW model lead to significant improvements in image retrieval.
  • This approach offers a promising direction for advanced CBIR systems.