An Intelligent mutli-object retrieval system for historical mosaics
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 4
Abstract
In this work we present a Mosaics Intelligent Retrieval System (MIRS) for digital museums. The objective of this work is to attain a semantic interpretation of images of historical mosaics. We use the fuzzy logic techniques and semantic similarity measure to extract knowledge from the images for multi-object indexing. The extracted knowledge provides the users (experts and laypersons) with an intuitive way to describe and to query the images in the database. Our contribution in this paper is firstly, to define semantic fuzzy linguistic terms to encode the object position and the inter-objects spatial relationships in the mosaic image. Secondly, to present a fuzzy color quantization approach using the human perceptual HSV color space and finally, to classify semantically the mosaics images using a semantic similarity measure. The automatically extracted knowledge are collected and traduced into XML language to create mosaics metadata. This system uses a simple Graphic User Interface (GUI) in natural language and applies the classification approach both on the mosaics images database and on user queries, to limit images classes in the retrieval process. MIRS is tested on images from the exceptional Tunisian collection of complex mosaics. Experimental results are based on queries of various complexities which yielded a system’s recall and precision rates of 86.6% and 87.1%, respectively, while the classification approach gives an average success rate evaluated to 76%.
Authors and Affiliations
Wafa Maghrebi, Anis Ammar, Adel Alimi, Mohamed Khabou
Evaluating the Role of Information and Communication Technology (ICT) Support towards Processes of Management in Institutions of Higher Learning
The role of Information and Communication Technology in achieving organization’s strategic development goals has been an area of constant debate, and as well perceived in different management dimensions. Most unive...
Dimensionality Reduction using Hybrid Support Vector Machine and Discriminant Independent Component Analysis for Hyperspectral Image
Hyperspectral image is an image obtain from a satellite sensor. This image has more than 100 bands with a wide spectral range and increased spatial image resolution, providing detailed information on objects or materials...
Defects Prediction and Prevention Approaches for Quality Software Development
The demand for distributed and complex business applications in the enterprise requires error-free and high-quality application systems. Unfortunately, most of the developed software contains certain defects which cause...
An Algorithm that Prevents SPAM Attacks using Blockchain
There are many systems and methods for prevent-ing spam attacks. However, at present there is no specific tried-and-true method for preventing such attacks. In this paper, we propose an algorithm, “SAGA BC” to prevent sp...
Fusing Identity Management, HL7 and Blockchain into a Global Healthcare Record Sharing Architecture
Healthcare record sharing among various medical roles is a critical and challenging research problem especially in today’s everchanging global IT solutions. The emergence of blockchain as a new enabling technology brough...