Multi-Mode Indices for Effective Image Retrieval in Multimedia Systems
نویسندگان
چکیده
This paper presents a multi-mode indexing scheme for effective content-based image retrieval. Three types of indices are identified: visual indices for quantifiable visual information, semantic indices for non-quantifiable semantic information, keywords indices for keywords or free text. The underlying index structures are the HG-tree and the signature file. The HG-tree is one of the most promising multidimensional point index structures and the signature file is best known for handling keywords. The multi-mode indexing scheme combines and extends the HG-tree, the signature file, and the hashing technique to support a wide range of user queries in multimedia information systems. Experiments have been carried out on an image repository to demonstrate the effectiveness of the proposed content model and indexing scheme.
منابع مشابه
Proposing an effective approach for Network security and multimedia documents classically using encryption and watermarking
Local binary pattern (LBP) operators, which measure the local contrast within a pixel's neighborhood, successfully applied to texture analysis, visual inspection, and image retrieval. In this paper, we recommend a semi blind and informed watermarking approach. The watermark has been built from the original image using Weber Law. The approach aims is to present a high robustness and imperceptibi...
متن کاملMulti-Modal Retrieval for Multimedia Digital Libraries: Issues, Architecture, and Mechanisms
Supporting effective and efficient retrieval of multimedia data is a challenging problem in building a digital library. In this paper, we examine the issues related to accommodating multi-modal retrieval of multimedia data (text, image, video and audio), and propose 2M2Net as a generic framework for such versatile retrieval in multimedia digital libraries. The retrieval is conducted based on th...
متن کاملPerformance Evaluation of Medical Image Retrieval Systems Based on a Systematic Review of the Current Literature
Background and Aim: Image, as a kind of information vehicle which can convey a large volume of information, is important especially in medicine field. Existence of different attributes of image features and various search algorithms in medical image retrieval systems and lack of an authority to evaluate the quality of retrieval systems, make a systematic review in medical image retrieval system...
متن کاملRotation Invariant Content-Based Image Retrieval System
The emergence of multimedia technology and the rapid growth in the number and type of multimedia assets controlled by several entities, yet because the increasing range of image and video documents showing on the Internet, have attracted vital analysis efforts in providing tools for effective retrieval and management of visual data. So the need for image retrieval system arose. Out of many exis...
متن کاملContent Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram
Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a database. In medical applications, CBIR is a tool used by physicians to compare the previous and current medical images associated with patients pathological conditions. As the volume of pictorial information stored in medical image databases is in progress, efficient image indexing and retri...
متن کامل