CBIR Systems using hierarchical method
نویسندگان
چکیده
Multimedia data is now one of the widely used information types in all the fields as the fast development of computer techniques has been made traditional database systems based on text information have the limitations when applied to multimedia information. One of the main problems the researchers highlighted was the difficulty of locating a desired image in a large and varied collection. While it is perfectly feasible to identify a desired image from a small collection simply by browsing, more effective techniques are needed with collections containing thousands of items. In this paper, the problem involves entering an image as a query into a software application that is designed to employ CBIR techniques in extracting visual properties, and matching them. This is done to retrieve images in the database that are visually similar to the query image.
منابع مشابه
An Experimental Study on Content Based Image Retrieval Based On Number of Clusters Using Hierarchical Clustering Algorithm
Nowadays the content based image retrieval (CBIR) is becoming a source of exact and fast retrieval. CBIR presents challenges in indexing, accessing of image data and how end systems are evaluated. Data clustering is an unsupervised method for extraction hidden pattern from huge data sets. Many clustering and segmentation algorithms both suffer from the limitation of the number of clusters speci...
متن کاملRe-ranking algorithm using post-retrieval clustering for content-based image retrieval
In this paper, we propose a re-ranking algorithm using post-retrieval clustering for content-based image retrieval (CBIR). In conventional CBIR systems, it is often observed that images visually dissimilar to a query image are ranked high in retrieval results. To remedy this problem, we utilize the similarity relationship of the retrieved results via post-retrieval clustering. In the first step...
متن کاملContent-based image retrieval using growing hierarchical self-organizing quadtree map
In this paper, a growing hierarchical self-organizing quadtree map (GHSOQM) is proposed and used for a content-based image retrieval (CBIR) system. The incorporation of GHSOQM in a CBIR system organizes images in a hierarchical structure. The retrieval time by GHSOQM is less than that by using direct image comparison using a flat structure. Furthermore, the ability of incremental learning enabl...
متن کاملContent-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps
We propose a content-based information retrieval (CBIR) method that models known relationships between multimedia objects as a hierarchical tree-structure incorporating additional implicit semantic information. The objects are indexed based on their contents by mapping automatically extracted low-level features to a set of Self-Organized Maps (SOMs). The retrieval result is formed by estimating...
متن کاملSketch Based Image Retrieval Approach Using Gray Level Co-Occurrence Matrix
K. .. Nagarjuna Reddy P. Prasanna Kumari JNT University, JNT University, LIET, Himayatsagar, Hyderabad-8, LIET, Himayatsagar, Hyderabad-8, India India _______________________________________________________________________________________________________ Abstract: This work focuses on Content Based Image Retrieval (CBIR) system using sketches, which is one of the most accepted, rising research ...
متن کامل