DocumentCode
3499634
Title
Video indexing and retrieval based on recognized text
Author
Li, Huiping ; Doermann, David
Author_Institution
Center for Autom. Res., Maryland Univ., College Park, MD, USA
fYear
2002
fDate
9-11 Dec. 2002
Firstpage
245
Lastpage
248
Abstract
In this paper we present our experiments on text-based video indexing and retrieval. Due to expected OCR errors and the lack of semantic breadth in video text, we proposed two solutions: 1) expanding the semantics of the query word, and 2) using Glimpse to perform approximate matching instead of exact matching. The results we achieved showed that semantic expansion and Glimpse can play important roles in video retrieval based on text.
Keywords
image matching; indexing; information retrieval; optical character recognition; text analysis; video signal processing; Glimpse; OCR error; approximate matching; optical character recognition; query word; recognized text; semantic expansion; text detection; text enhancement; text recognition; video OCR; video indexing; video retrieval; Automation; Data mining; Dictionaries; Educational institutions; Indexing; Information retrieval; Motion pictures; Optical character recognition software; Software standards; Text recognition;
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.2002.1203292
Filename
1203292
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