Statistical techniques in video data management

Author

Naphade, Milind R.

Author_Institution

Pervasive Media Manage. Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA

fYear

2002

fDate

9-11 Dec. 2002

Firstpage

210

Lastpage

215

Abstract

Media analysis for video indexing is witnessing an increasing influence of statistical techniques. Examples of these techniques include the use of generative models as well as discriminant techniques for video structuring, classification, summarization, indexing and retrieval. Advances in multimedia analysis are related directly to advances in signal processing, computer vision, pattern recognition, multimedia databases and smart sensors. This paper highlights the statistical techniques in multimedia retrieval with particular emphasis on semantic characterization.

Keywords

image retrieval; indexing; multimedia databases; statistical analysis; video signal processing; computer vision; discriminant technique; generative model; media analysis; multimedia analysis; multimedia database; pattern recognition; semantic characterization; signal processing; smart sensors; statistical techniques; video classification; video data management; video indexing; video retrieval; video structuring; video summarization; Application software; Hidden Markov models; Image analysis; Image segmentation; Image sequence analysis; Image sequences; Indexing; Layout; Motion pictures; Multimedia databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 2002 IEEE Workshop on

Print_ISBN

0-7803-7713-3

Type

conf

DOI

10.1109/MMSP.2002.1203284

Filename

1203284