Adding Semantics to Audiovisual Content: The FAETHON Project

Athanasiadis, Thanos; Avrithis, Yannis

doi:10.1007/978-3-540-27814-6_77

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Using these tags, users are able to organize content or search for similar content, even for images, video or audio [10,18]. Additionally, several applications that extract textual content [11] and technical or semantic information [3] from audiovisual content (e.g. image resolution and format, frame rate and audio compression for videos) can be used to enhance content description.…”

Section: Content Availability and Accessibilitymentioning

confidence: 99%

Quality of Content in Web 2.0 Applications

Varlamis

2010

Knowledge-Based and Intelligent Information and Engineering Systems

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Abstract. Nowadays, web users are facing a novel and dynamically changing environment, which promotes collaboration in content creation. In the web era, people usually neglected the quality of content, and had minimum authority on reporting good or bad content, whereas, in Web 2.0, content is becoming a priority and people become more critical when they assess its quality. In the former case, each web site had an identity, a single editor or a closed group of editors, who were responsible for content quality management and the stylistic design was the main quality standard for visitors. In the latter case, several applications and a new way of thinking have changed the workplace and created a new approach to quality management. Specifically, the team of editors is open to every web user, content is a collaborative product and the "embedded object" or "inline linking" model is gaining in popularity against hyperlinking.

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Section: Content Availability and Accessibilitymentioning

confidence: 99%

Quality of Content in Web 2.0 Applications

Varlamis

2010

Knowledge-Based and Intelligent Information and Engineering Systems

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“…In this section, we provide information acquired from the practical application of the integration methodology and system described in this work in the framework of the European Union (EU)-funded FAETHON project [4]. We start by describing the architecture and content of the five multimedia archives that have been integrated, and continue by listing findings from the integration and validation procedures.…”

Section: Integrated Systemmentioning

confidence: 99%

“…On the content layer, a semantic modeling approach is followed to handle problems related to the utilization of different classification schemes, different depth of detail, or different languages for the annotation of multimedia documents in individual archives. The proposed approach has been utilized in the framework of the FAETHON project [4], [5], where a common point of access was provided for five archives from three different countries.…”

mentioning

confidence: 99%

Integrating multimedia archives: the architecture and the content layer

Wallace¹,

Athanasiadis

Avrithis

et al. 2006

IEEE Trans. Syst., Man, Cybern. A

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Abstract-In the last few years, numerous multimedia archives have made extensive use of digitized storage and annotation technologies. Still, the development of single points of access, providing common and uniform access to their data, despite the efforts and accomplishments of standardization organizations, has remained an open issue as it involves the integration of various large-scale heterogeneous and heterolingual systems. This paper describes a mediator system that achieves architectural integration through an extended three-tier architecture and content integration through semantic modeling. The described system has successfully integrated five multimedia archives, quite different in nature and content from each other, while also providing easy and scalable inclusion of more archives in the future.

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“…A field in which these relations have a very special role is that of fuzzy information retrieval [10,12,41]. In that framework, fuzzy relational knowledge representation can contribute to tasks such as query expansion [3], document analysis [4,39], multimedia analysis [38], user profiling [40] and others.…”

Section: Introductionmentioning

confidence: 99%