University of Bahrain
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A Comprehensive Study on Image Retrieval Algorithms of Cloud Storage for Information Extraction in Health Care System

Show simple item record R, Vasudeva. S.N, Dr Chandrashekara 2022-12-06T19:47:31Z 2022-12-06T19:47:31Z 2022-12-06
dc.identifier.issn 2210-142X
dc.description.abstract The world is full of digital data disseminated everywhere for creating, accessing, and storing information among the people’s communication through media with network devices. The huge volume of data stored as a repository in a remote place where it is accessed in terms of datasets/databases. Such kinds of databases are extracted from the repositories in a short period based on its features and contents available inside the databases. The processing of transformation of data from one form to another using the above-said functions of a database plays a vital role in extracting information on large networks. Information Retrieval (IR) is the normal technique to derive the information from the warehouses through its features and functionalities. Cloud computing is the trending technique to store the accessed information and converted it into meaningful data as a database and stored in a remote place among the nodes of networks. The stored databases are collected and combined as a group of data based on the features present in the database then stored as clusters. Separate clusters are created in the cloud to store text, audio, video, and multimedia supported files remotely from different sources on the internet. From those clusters, extracting the accurate files needed should be processed through various classical algorithms and techniques with the supported tools. Content-Based Image Retrieval (CBIR) is the common popular technique used to get accurate results as an output from the cloud clusters in a short duration of time. The latency and efficiency will be very low to process the huge volume of data on the network. Classical approaches implemented innovative ideas such as query-based approach, features extraction, auto-encoders, and indexing on this CBIR technique and applied them through machine learning algorithms, CNN (Convolution Neural Networks), and deep learning. Since cloud computing is working with the internet as an important phenomenon all the techniques are needed for internet sources. The accuracy and latency of the CBIR technique on cloud storage servers is a challenging mission for people who are needed in different sectors, especially in healthcare. To find better solutions for the above-said problem this survey paper has been written from a technical perspective view, and helpful to the researchers get motivated to do their innovative works, and ideas on the CBIR model to emphasize in the competitive world. en_US
dc.language.iso en_US en_US
dc.publisher University of Bahrain en_US
dc.subject Information Retrieval, Cloud Computing, Content Based Image Retrieval, Machine Learning, Convolution Neural Networks. en_US
dc.title A Comprehensive Study on Image Retrieval Algorithms of Cloud Storage for Information Extraction in Health Care System en_US
dc.type Article en_US
dc.volume 12 en_US
dc.issue 1 en_US
dc.pagestart 1315 en_US
dc.pageend 1328 en_US
dc.contributor.authoraffiliation Department of Computer Science and Engineering, C Byregowda Institute of Technology, Kolar, Karnataka, India en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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