Publication Type
Journal Article
Version
publishedVersion
Publication Date
3-2006
Abstract
This paper describes the techniques in threading and autodocumenting news stories according to topic themes. Initially, we perform story clustering by exploiting the duality between stories and textual-visual concepts through a co-clustering algorithm. The dependency among stories of a topic is tracked by exploring the textual-visual novelty and redundancy of stories. A novel topic structure that chains the dependencies of stories is then presented to facilitate the fast navigation of the news topic. By pruning the peripheral and redundant news stories in the topic structure, a main thread is extracted for autodocumentary
Discipline
Data Storage Systems | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
IEEE Signal Processing Magazine
Volume
23
Issue
2
First Page
59
Last Page
68
ISSN
1053-5888
Identifier
10.1109/MSP.2006.1621449
Publisher
Institute of Electrical and Electronics Engineers
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.