2015/07/17 by Thanh The Van, Van, Thanh The, Thanh Manh Le +1
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Web Data Mining and Analysis #cs.CV
paper · pdf · doi:10.48550/arxiv.1507.04816
4 pages, 4 figures
arxiv created 2015/07/17 · openalex publication_date 2015/07/17 · arxiv updated 2015/07/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper approaches the image retrieval system on the base of visual features local region RBIR (region-based image retrieval). First of all, the paper presents a method for extracting the interest points based on Harris-Laplace to create the feature region of the image. Next, in order to reduce the storage space and speed up query image, the paper builds the binary signature structure to describe the visual content of image. Based on the image's binary signature, the paper builds the SG (signature graph) to classify and store image's binary signatures. Since then, the paper builds the image retrieval algorithm on SG through the similar measure EMD (earth mover's distance) between the image's binary signatures. Last but not least, the paper gives an image retrieval model RBIR, experiments and assesses the image retrieval method on Corel image database over 10,000 images.