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
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;
Conference_Titel :
Multimedia Signal Processing, 2002 IEEE Workshop on
Print_ISBN :
0-7803-7713-3
DOI :
10.1109/MMSP.2002.1203292
