arrow
Return

Active learning for interactive multimedia retrieval

delete2008-04-01
delete69
delete
OA
AI
T
Thomas S. Huang *
C
Charlie K. Dagli
S
S. Rajaram
E
Edward Yi Chang
M
Michael Mandel
G
Graham E. Poliner
D
Daniel P. W. Ellis
DOI:10.1109/JPROC.2008.916364delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
AS the first decade of the 21st century comes to a close, growth in multimedia delivery infrastructure and public demand for applications built on this backbone are converging like never before. The push towards reaching truly interactive multimedia technologies becomes stronger as our media consumption paradigms continue to change. in this paper, we will profile a technology leading the way in this revolution: active learning. Active learning is a strategy that helps alleviate challenges inherent in multimedia information retrieval through user interaction. We will show how active learning is ideally suited for the multimedia information retrieval problem by giving an overview of the paradigm and component technologies used with special attention given to the application scenarios in which these technologies are useful. Finally, we give insight into the future of this growing field and how it fits into the larger context of multimedia information retrieval.
Keywords:
active learning
content-based information retrieval
human-computer interaction
image/video search
interactive pattern recognition
relevance feedback
user-centered design

Journal

Proceedings of the IEEE cover
Proceedings of the IEEE
IF:
25.9
Papers:
9.9K
Citations:
4.5W

Organization

U
University of Illinois Urbana-Champaign
Scholars:
2.4W
Papers: 2.0W
Citations: 35
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
University of Illinois System cover
University of Illinois System
Scholars:
6.8W
Papers: 6.2W
Citations: 644
researcher View more organizations