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 :
بازگشت