U-HMS: hybrid system for secure intelligent multimedia data services in Ubi-Home

2009 ◽  
Vol 20 (3) ◽  
pp. 337-346 ◽  
Author(s):  
Jong Hyuk Park ◽  
Sangjin Lee ◽  
Jongin Lim ◽  
Laurence T. Yang
2007 ◽  
Vol 46 (03) ◽  
pp. 344-351 ◽  
Author(s):  
A. Kalogeropoulos ◽  
D. Alexopoulos ◽  
G. Nikiforidis ◽  
L. Gortzis

Summary Objectives: Integration of administrative and clinical data, imaging, and expert services, although challenging, is a key requirement in contemporary interventional cardiology facilities (ICF). We propose a workflow-oriented hybrid system to support the ICF and investigate its feasibility and effectiveness in a referral medical center. Methods: We have developed a Java-powered hybrid system (NetCARDIO), able to support over web synchronous and asynchronous data management, realtime multimedia data telemonitoring and continuous telementoring. Data regarding procedural rates, treatment planning and radiation exposure were collected over a two-year period of routine NetCARDIO implementation (July 2002 to June 2004) and compared with data from an immediately preceding period of equal duration (January 2000 to December 2001). Results: During the NetCARDIO period, 163 ±11 coronary procedures per month were performed vs. 77 ±15 during the control period (p <0.001). Percutaneous coronary intervention was delivered ‘ad hoc’ in 88% of eligible patients vs. 45% (p <0.001). Mean fluoroscopy time per coronary lesion treated decreased from 594 ± 82sto 540 ±94s (p < 0.001). Annual radiation exposure of expert interventionistswas decreased by 22%. Electronic storage significantly reduced archiving costs. Conclusions: Real-time multimodal services sharing combined with powerful database capabilities is feasible through a web-based structure, significantly enhancing performance and cost-effectiveness of ICF. Further research is needed to promote integration of additional data sources and services.


2019 ◽  
Author(s):  
Dibya Jyoti Bora ◽  
Sebastian Salazar-Colores ◽  
Fernando Cervantes-Sanchez ◽  
Arturo Hernandez-Aguirre ◽  
Ivan Cruz-Aceves ◽  
...  

1998 ◽  
Vol 6 (6) ◽  
pp. 395-407 ◽  
Author(s):  
P. Senthil Kumar ◽  
G. Phanendra Babu

2010 ◽  
Vol 44 (3-4) ◽  
pp. 241-251 ◽  
Author(s):  
Hsiang-Cheh Huang ◽  
Wai-Chi Fang

Author(s):  
Hsiang-Cheh Huang ◽  
Jeng-Shyang Pan ◽  
Wai-Chi Fang ◽  
Lakhmi C. Jain

Author(s):  
Chao Chen ◽  
Tao Meng ◽  
Lin Lin

The popularity of research on intelligent multimedia services and applications is motivated by the high demand of the convenient access and distribution of pervasive multimedia data. Facing with abundant multimedia resources but inefficient and rather old-fashioned keyword-based retrieval approaches, Intelligent Multimedia Systems (IMS) demand on (i) effective filtering algorithms for storage saving, computation reduction, and dynamic media delivery; and (ii) advanced learning methods to accurately identify target concepts, effectively search personalized media content, and enable media-type driven applications. Nowadays, the web based multimedia applications become more and more popular. Therefore, how to utilize the web technology into multimedia data management and retrieval becomes an important research topic. In this paper, the authors developed a web-based intelligent video retrieval system that integrates effective and efficient MCA-based filtering and subspace-based learning to facilitate end users to retrieve their desired semantic concepts. A web-based demo shows the effectiveness of the proposed intelligent multimedia system to provide relevant results of target semantic concepts retrieved from TRECVID video collections.


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