DocumentCode
1749863
Title
Hierarchical segmentation using latent semantic indexing in scale space
Author
Slaney, Malcolm ; Ponceleon, Dulce
Author_Institution
IBM Almaden Res. Center, San Jose, CA, USA
Volume
3
fYear
2001
fDate
2001
Firstpage
1437
Abstract
This paper describes a new algorithm which discovers the hierarchical organization of a document or media presentation. We use latent semantic indexing to describe the semantic content of the signal, and scale-space segmentation to describe its features at many different scales. We present results from a text document and a video transcript
Keywords
database indexing; document image processing; image segmentation; video signal processing; document presentation; hierarchical organization; hierarchical segmentation; latent semantic indexing; media presentation; scale space; scale-space segmentation´to; signal semantic content; text document; video transcript; Books; Cellular neural networks; Engines; Indexing; Information retrieval; Laboratories; Large scale integration; Speech recognition; Testing; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.941200
Filename
941200
Link To Document