PDSRS: An attribute based approach for multimedia data storage and retrieval

2011 ◽  
pp. 119-122
Author(s):  
Sonali Ajankar ◽  
Sanjay Nalbalwar ◽  
Z. A. Usmani
Keyword(s):  
Data Storage ◽  
Multimedia Data ◽  
Storage And Retrieval

Efficient Share Generator for Slicing and Securely Retrieving the Cloud-Hosted Heterogeneous Multimedia Data

2021 ◽  
pp. 20-32
Author(s):  
admin admin ◽  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Implementation Strategies ◽  
Critical Issue ◽  
Multimedia Data ◽  
Storage And Retrieval ◽  
Remote Storage ◽  
Source Transformation ◽  
Cloud Servers

Recently, the security of heterogeneous multimedia data becomes a very critical issue, substantially with the proliferation of multimedia data and applications. Cloud computing is the hidden back-end for storing heterogeneous multimedia data. Notwithstanding that using cloud storage is indispensable, but the remote storage servers are untrusted. Therefore, one of the most critical challenges is securing multimedia data storage and retrieval from the untrusted cloud servers. This paper applies a Shamir Secrete-Sharing scheme and integrates with cloud computing to guarantee efficiency and security for sensitive multimedia data storage and retrieval. The proposed scheme can fully support the comprehensive and multilevel security control requirements for the cloud-hosted multimedia data and applications. In addition, our scheme is also based on a source transformation that provides powerful mutual interdependence in its encrypted representation—the Share Generator slices and encrypts the multimedia data before sending it to the cloud storage. The extensive experimental evaluation on various configurations confirmed the effectiveness and efficiency of our scheme, which showed excellent performance and compatibility with several implementation strategies.

CONTENT-BASED RETRIEVAL OF MULTIMEDIA INFORMATION

2001 ◽  
Vol 01 (01) ◽  
pp. 83-91 ◽  
Author(s):  
DAGAN (DAVID) FENG
Keyword(s):  
Information Technology ◽  
Signal Processing ◽  
Multimedia Information ◽  
Information Management ◽  
Data Storage ◽  
Video Retrieval ◽  
Multimedia Data ◽  
Content Based Retrieval ◽  
Storage And Retrieval ◽  
Research Activities

The recent information explosion has led to massively increased demand for multimedia data storage and retrieval techniques. Content-based retrieval is an important alternative and complement to the traditional keyword-based searching for multimedia data and can greatly enhance information management. For the last ten years, the Biomedical and Multimedia Information Technology (BMIT) Group and recently the Center for Multimedia Signal Processing (CMSP) have conducted systematic studies and research activities on this topic. Some of the works relating to content-based image/video retrieval and their applications are briefly presented in this paper.

Mobile Exam System – MES

2012 ◽  
pp. 1-20 ◽  
Author(s):  
Joan Lu ◽  
Aswin Sundaram ◽  
Zhaozong Meng ◽  
Priya A ◽  
Gehao Lu ◽  
...  
Keyword(s):  
Data Storage ◽  
Database Management ◽  
Evaluation System ◽  
Rapid Development ◽  
Database Management System ◽  
Student Response ◽  
Multimedia Data ◽  
Student Response System ◽  
Storage And Retrieval ◽  
Exam System

As the mobile applications are constantly facing a rapid development in the recent years especially in the academic environment such as student response system (Lópeza, Royoa, Labordab, & Calvoa, 2009; Ngai & Gunasekaran, 2007; Mary & Biju, 2008; Nayak & Erinjeri, 2008; Roth, Ivanchenko, & Record, 2008; Lu, Stav, & Pein, 2009; Lu, 2009; Turning Technologies, 2010) used in universities and other educational institutions; However, an effective and scalable Database Management System to support fast and reliable data storage and retrieval is missing. This paper presents Database Management Architecture for an Innovative Evaluation System based on Mobile Learning Applications. The need for a relatively stable, independent, and extensible data model for faster data storage and retrieval is analyzed and investigated. Finally a case study to prove the concept of the urgent need for the system is proposed. It concludes that the system is important by emphasizing further investigation to support multimedia data types, such as video clips, images and documents in near future.

scholarly journals Data storage and retrieval with RPL routing

2013 ◽  
Author(s):  
Pietro Gonizzi ◽  
Gianluigi Ferrari ◽  
Paolo Medagliani ◽  
Jeremie Leguay
Keyword(s):  
Data Storage ◽  
Storage And Retrieval

Issues in storage and retrieval of multimedia data

1995 ◽  
Vol 3 (5-6) ◽  
pp. 298-304 ◽  
Author(s):  
T. L. Kunii ◽  
Y. Shinagawa ◽  
R. M. Paul ◽  
M. F. Khan ◽  
A. A. Khokhar
Keyword(s):  
Multimedia Data ◽  
Storage And Retrieval

Multimedia Data Storage

2018 ◽  
pp. 2383-2386
Author(s):  
Jeffrey Xu Yu
Keyword(s):  
Data Storage ◽  
Multimedia Data

scholarly journals The NMR Spectral Measurement Database: A System for Organizing and Accessing NMR Spectra of Therapeutic Proteins

2021 ◽  
Vol 126 ◽  
Author(s):  
Niksa Blonder ◽  
Frank Delaglio
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Spectral Data ◽  
Data Storage ◽  
Nmr Spectra ◽  
Therapeutic Proteins ◽  
Data Access ◽  
Protein Therapeutics ◽  
Spectral Measurement ◽  
Storage And Retrieval

The Nuclear Magnetic Resonance Spectral Measurement Database (NMR-SMDB) was developed for the purpose of organizing and searching NMR spectral data of protein therapeutics, linking spectra to corresponding sample information and enabling quick access to full datasets and entire studies. In addition to supporting internal research at the National Institute of Standards and Technology (NIST), the system could facilitate data access to stakeholders outside of NIST, and future versions of the database software itself could be installed by others for their own data storage and retrieval.

scholarly journals Encoding scheme for data storage and retrieval on DNA computers

2020 ◽  
Vol 14 (7) ◽  
pp. 635-641
Author(s):  
Dolly Sharma ◽  
Ranjit Kumar ◽  
Mayuri Gupta ◽  
Tanisha Saxena
Keyword(s):  
Data Storage ◽  
Encoding Scheme ◽  
Storage And Retrieval ◽  
Dna Computers
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