Extracting Textual Information from Images and Videos for Automatic Content-Based Annotation and Retrieval

One way to utilize semantic knowledge for annotating databases of digital images and videos is to use the textual information which is present. Usually, it provides important information about the content and is a very good entity for queries based on keywords. In this context, the extraction of sce...

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Bibliographic Details

Main Author:	Gllavata, Julinda
Contributors:	Freisleben, Bernd (Prof.Dr.) (Thesis advisor)
Format:	Doctoral Thesis
Language:	English
Published:	Philipps-Universität Marburg 2007
Subjects:	Indexierung <Inhaltserschliessung> Clustering Text Extrahierung Text Segmentierung Text Extraction Text Detection and Localization Text Detektion and Lokalisierung Multimedia Indexing Bildverarbeitung Informatik Data Mining Text Segmentation Multimedia Cluster-Analyse Multimedia Indexierung Data processing Computer science
Online Access:	PDF Full Text
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