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:
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Call Number: urn:nbn:de:hebis:04-z2007-01071
Publication Date: 2007-04-12
Date of Acceptance: 2007-02-05
Downloads: 33 (2024), 103 (2023), 61 (2022), 69 (2021), 71 (2020), 68 (2019), 44 (2018)
License: https://rightsstatements.org/vocab/InC-NC/1.0/
Access URL: https://archiv.ub.uni-marburg.de/diss/z2007/0107
https://doi.org/10.17192/z2007.0107