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

2011 ◽  
pp. 119-122
Author(s):  
Sonali Ajankar ◽  
Sanjay Nalbalwar ◽  
Z. A. Usmani
2021 ◽  
pp. 20-32
Author(s):  
admin admin ◽  

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.


2001 ◽  
Vol 01 (01) ◽  
pp. 83-91 ◽  
Author(s):  
DAGAN (DAVID) FENG

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.


Author(s):  
Joan Lu ◽  
Aswin Sundaram ◽  
Zhaozong Meng ◽  
Priya A ◽  
Gehao Lu ◽  
...  

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.


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

Author(s):  
Niksa Blonder ◽  
Frank Delaglio

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.


2020 ◽  
Vol 14 (7) ◽  
pp. 635-641
Author(s):  
Dolly Sharma ◽  
Ranjit Kumar ◽  
Mayuri Gupta ◽  
Tanisha Saxena

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