Search (4 results, page 1 of 1)

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Abstract

Various kinds of knowledge organisation, such as thesauri, are routinely used to label or tag multimedia content such as images and music and to support information retrieval, i.e. user search for such content. In this paper, we outline why this is the case, in particular focusing on the semantic gap between content and concept based multimedia retrieval. We survey some indexing vocabularies used for multimedia retrieval, and argue that techniques such as thesauri will be needed for the foreseeable future in order to support users in their need for multimedia content. In particular, we argue that artificial intelligence techniques are not mature enough to solve the problem of indexing multimedia conceptually and will not be able to replace human indexers for the foreseeable future.

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Abstract

Indexing remains one of the most popular tools provided by digital libraries to help users identify and understand the characteristics of the information they need. Despite extensive studies of the problem of automatic index construction for text-based digital libraries, the construction of multimedia digital libraries continues to represent a challenge, because multimedia objects usually lack sufficient text information to ensure reliable index learning. This research attempts to tackle the problem of automatic index construction for multimedia objects by employing Web usage logs and limited keywords pertaining to multimedia objects. The tests of two proposed algorithms use two different data sets with different amounts of textual information. Web usage logs offer precious information for building indexes of multimedia digital libraries with limited textual information. The proposed methods generally yield better indexes, especially for the artwork data set.

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Abstract

Für Speicherung und Transfer von Wissen setzen Unternehmen neben Textdaten verstärkt auch audio-visuelle Daten ein. Beispiele dafür sind Schulungsvideos für Produktionsanlagen oder Podcasts zu Forschungsthemen. Damit stellt sich die Frage, welche Werkzeuge sich für die Integration von Multimedia-Inhalten in Systeme des Wissensmanagements eignen und wie solche Inhalte in Enterprise-Suchmaschinen eingebunden werden können. Der Beitrag skizziert diesen Ausgangspunkt und gibt eine Übersicht über Anbieter und Werkzeuge zur Erschließung von Bilddaten (z. B. aus Digitalisierungs-Projekten) sowie von audio-visuellen Daten. Er konzentriert sich auf Werkzeuge, die als Software as a Service genutzt werden können und listet Kriterien zur technischen Evaluation solcher Lösungen auf. Der Beitrag basiert auf Beratungs- und Entwicklungsprojekten zu automatischer Medienerschließung, Multimedia Indexing und Enterprise Search.

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Date

22. 1.2012 13:02:10

Source

Knowledge organization. 39(2012) no.1, S.13-22