Acosta Consult GmbH

Frankfurt am Main, Germany

Acosta Consult GmbH

Frankfurt am Main, Germany
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Liu M.,Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut | Konya I.,Fraunhofer Institute for Intelligent Analysis and Information Systems | Nandzik J.,Acosta Consult GmbH | Flores-Herr N.,Acosta Consult GmbH | And 2 more authors.
Proceedings - International Conference on Image Processing, ICIP | Year: 2012

Print media collections of considerable size are held by cultural heritage organizations and will soon be subject to digitization activities. However, technical content quality management in digitization workflows strongly relies on human monitoring. This heavy human intervention is cost intensive and time consuming, which makes automization mandatory. In this paper, a new automatic quality assessment framework is proposed. The digitized source image and a color reference target are extracted from the raw digitized images by an automatic segmentation process. The target is evaluated by a reference-based algorithm. No-reference quality metrics are applied to the source image. Experimental results are provided to illustrate the performance of the proposed framework. We show that our approach yields a significant improvement in the extraction as well as in the quality assessment step compared to the state-of-the-art. © 2012 IEEE.


Konya I.,Fraunhofer Institute for Intelligent Analysis and Information Systems | Eickeler S.,Fraunhofer Institute for Intelligent Analysis and Information Systems | Nandzik J.,Acosta Consult GmbH | Flores-Herr N.,Acosta Consult GmbH
Cognitive Technologies | Year: 2014

One of the main goals of the Contentus use case was to manage and improve the technical quality of large digital multimedia collections in cultural heritage organizations. Generally, there are two causes for quality impairment of digitized multimedia items: errors during the digitization process and a poor condition of the analog original. While digitization errors may be corrected by re-digitization, any deterioration of analog materials can only be counteracted by digital restoration in post-processing after digitization. This article showcases a unique technique developed in Contentus to restore digitized hectograph archive documents that typically display yellowed paper and faded printing ink. The documents used in this restoration showcase belong to the archive of the Music Information Center the Association of Composers and Musicologists (MIZ) of the former German Democratic Republic (GDR), and were produced between 1960 and 1989. The hectography method was widely adopted in the GDR to copy documents at a large scale. The showcased restoration method enhances the readability of on-screen texts and, as shown by evaluation, lowers the error rate of optical character recognition. In turn, the latter improvement is expected to improve the automated extraction of semantic information entities like persons, places and organizations. The technology presented in this article is an example of how corpora consisting of visually impaired analog media can be prepared for semantic search applications based on automatic content indexing - another major goal of the use case Contentus. © Springer International Publishing Switzerland 2014.


Nandzik J.,Acosta Consult GmbH | Litz B.,Deutsche Nationalbibliothek | Flores-Herr N.,Acosta Consult GmbH | Lohden A.,Deutsche Nationalbibliothek | And 10 more authors.
Multimedia Tools and Applications | Year: 2013

An ever-growing amount of digitized content urges libraries and archives to integrate new media types from a large number of origins such as publishers, record labels and film archives, into their existing collections. This is a challenging task, since the multimedia content itself as well as the associated metadata is inherently heterogeneous - the different sources lead to different data structures, data quality and trustworthiness. This paper presents the contentus approach towards an automated media processing chain for cultural heritage organizations and content holders. Our workflow allows for unattended processing from media ingest to availability thorough our search and retrieval interface. We aim to provide a set of tools for the processing of digitized print media, audio/visual, speech and musical recordings. Media specific functionalities include quality control for digitization of still image and audio/visual media and restoration of the most common quality issues encountered with these media. Furthermore, the contentus tools include modules for content analysis like segmentation of printed, audio and audio/visual media, optical character recognition (OCR), speech-to-text transcription, speaker recognition and the extraction of musical features from audio recordings, all aimed at a textual representation of information inherent within the media assets. Once the information is extracted and transcribed in textual form, media independent processing modules offer extraction and disambiguation of named entities and text classification. All contentus modules are designed to be flexibly recombined within a scalable workflow environment using cloud computing techniques. In the next step analyzed media assets can be retrieved and consumed through a search interface using all available metadata. The search engine combines Semantic Web technologies for representing relations between the media and entities such as persons, locations and organizations with a full-text approach for searching within transcribed information gathered through the preceding processing steps. The contentus unified search interface integrates text, images, audio and audio/visual content. Queries can be narrowed and expanded in an exploratory manner, search results can be refined by disambiguating entities and topics. Further, semantic relationships become not only apparent, but can also be navigated. © 2012 Springer Science+Business Media, LLC.


Liu M.,Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut | Konya I.,Fraunhofer Institute for Intelligent Analysis and Information Systems | Nandzik J.,Acosta Consult GmbH | Flores-Herr N.,Acosta Consult GmbH | And 2 more authors.
Eurasip Journal on Advances in Signal Processing | Year: 2012

Print media collections of considerable size are held by cultural heritage organizations and will soon be subject to digitization activities. However, technical content quality management in digitization workflows strongly relies on human monitoring. This heavy human intervention is cost intensive and time consuming, which makes automization mandatory. In this article, a new automatic quality assessment and improvement system is proposed. The digitized source image and color reference target are extracted from the raw digitized images by an automatic segmentation process. The target is evaluated by a reference-based algorithm. No-reference quality metrics are applied to the source image. Experimental results are provided to illustrate the performance of the proposed system. We show that it features a good performance in the extraction as well as in the quality assessment step compared to the state-of-the-art. The impact of efficient and dedicated quality assessors on the optimization step is extensively documented. © 2012 Liu et al.

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