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

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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Dettagli Bibliografici
Autore principale: Gllavata, Julinda
Altri autori: Freisleben, Bernd (Prof.Dr.) (Relatore della tesi)
Natura: Dissertation
Lingua:inglese
Pubblicazione: Philipps-Universität Marburg 2007
Soggetti:
Text Segmentation
Indexierung <Inhaltserschliessung>
Text Detektion and Lokalisierung
Text Extraction
Multimedia Indexierung
Text Extrahierung
Bildverarbeitung
Informatik
Text Segmentierung
Data Mining
Multimedia
Clustering
Cluster-Analyse
Text Detection and Localization
Multimedia Indexing
Data processing Computer science
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