Intelligent multimedia data: data + indices + inference

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

Intelligent Multimedia Data Analysis

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

Techniques and applications of intelligent multimedia data hiding

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

An Introduction to Intelligent Multimedia Data Hiding

2007 ◽  
pp. 3-10
Author(s):  
Hsiang-Cheh Huang ◽  
Jeng-Shyang Pan ◽  
Wai-Chi Fang ◽  
Lakhmi C. Jain
Keyword(s):  
Data Hiding ◽  
Multimedia Data ◽  
Intelligent Multimedia

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
Keyword(s):  
Hybrid System ◽  
Multimedia Data ◽  
Data Services ◽  
Intelligent Multimedia

A Web-Based Multimedia Retrieval System with MCA-Based Filtering and Subspace-Based Learning Algorithms

2013 ◽  
Vol 4 (2) ◽  
pp. 13-45 ◽  
Author(s):  
Chao Chen ◽  
Tao Meng ◽  
Lin Lin
Keyword(s):  
Retrieval System ◽  
Video Retrieval ◽  
Multimedia Systems ◽  
Multimedia Data ◽  
Multimedia Retrieval ◽  
Multimedia System ◽  
Web Based ◽  
Semantic Concepts ◽  
Intelligent Multimedia ◽  
The Web

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.

Learning Pseudo Metric for Intelligent Multimedia Data Classification and Retrieval

2005 ◽  
Vol 16 (6) ◽  
pp. 575-586 ◽  
Author(s):  
Dianhui Wang ◽  
Xiaohang Ma ◽  
Yong-soo Kim
Keyword(s):  
Data Classification ◽  
Multimedia Data ◽  
Intelligent Multimedia
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