DocumentCode
334830
Title
Human interfaces to video
Author
Lippman, Andrew ; Vasconcelos, Nuno ; Iyengar, Giri
Author_Institution
Media Lab., MIT, Cambridge, MA, USA
Volume
1
fYear
1998
fDate
1-4 Nov. 1998
Firstpage
887
Abstract
We present approaches for content characterization along the natural divisions of structured and non-structured video. We propose probabilistic clustering techniques as an alternative to query-by-example in the unstructured domain, and a Bayesian formulation that exploits knowledge about structure when it is available.
Keywords
Bayes methods; content-based retrieval; image representation; pattern clustering; probability; user interfaces; video coding; video databases; Bayesian formulation; encoded video sequence; human interfaces; nonstructured video; probabilistic clustering techniques; structure knowledge; structured video; unstructured domain; video content; video content characterization; video representation; video retrieval; Availability; Bayesian methods; Bridges; Explosions; Humans; Image databases; Laboratories; Mechanical factors; Power system interconnection; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-5148-7
Type
conf
DOI
10.1109/ACSSC.1998.751010
Filename
751010
Link To Document