Hybrid Feature Extraction Improves Image Retrieval by Fusing Diverse Methods for Enhanced Content-Based Search

• Published in: 2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC) pp. 1 - 6
• Main Authors: Buvaneswari, B., Alassedi, Zainab, Ranjith kumar, Gotte, Habelalmateen, Mohammed I., Mohamad Ramadan, Ghazi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04.12.2023
• Subjects: Benchmark testing; Computer Vision; Feature extraction; Fusion Method; Hybrid Feature; Image retrieval; Task analysis; Texture based feature; Visual databases; Visualization; Wireless communication

Content-based image retrieval (CBIR) is a critical domain in computer vision, dedicated to extracting images from databases based on their visual content rather than relying on text-based queries. Feature extraction plays a pivotal role in CBIR, converting image attributes like color, texture, and s...