Search (30 results, page 2 of 2)

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Date

14. 2.2001 19:09:22

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Abstract

Multimedia retrieval is a complex and to some extent still unexplored area. Based on a full year of e-mail requests addressed to a large film archive this study analyses what types of information needs real users have and how these needs are expressed. The findings include that the requesters make use of a broad range of need attributes in specifying their information needs. These attributes relate to the production, content, subject, context and screening of films. However, a few attributes - especially title, production year and director - account for the majority of the attribute instances. Further, as much as 43 per cent of the requests contain no information about the context that gives rise to the request. The current indexing of the archived material is restricted to production-related attributes, and access to the material is, thus, frequently dependent on the archivists' extensive knowledge of the archived material and films in general.

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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

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Date

22. 9.1997 19:16:05

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Date

7. 3.1999 14:22:45

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Abstract

This article discusses the implementation of MPEG-7 within the Moving Image Collections (MIC) portal. MIC is a union catalog of the world's moving images, as well as a portal to information on the care, management, and use of moving images. The MIC Union Catalog utilizes a core registry schema that is designed to map readily to any metadata schema used to describe moving images. The MIC development team was particularly interested in supporting MPEG-7 for future nontextual digital video indexing applications. An MPEG-7 application profile and Microsoft Access cataloging utility were developed in order to test MPEG-7 within the MIC Union Catalog; 400 science digital videos in the ResearchChannel collection were cataloged in MPEG-7. The MPEG-7 records were mapped to MIC and ingested. Draft MPEG-7 to MIC and MIC to MPEG-7 maps were developed and are available at the MIC Web site. MPEG-7 records are available for viewing for any record in the MIC database via a collections explore search within the Archivists' portal. The MPEG-7 cataloging utility may be downloaded from the MIC project Web site (Moving Image Collections. MIC Cataloging Utility. http://gondolin.rutgers.edu/MIC/text/ how/cataloging_utility.htm). This article also discusses issues with MPEG-7 as a descriptive metadata schema, as well as mapping and implementation issues identified in the project.

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Abstract

Dow Jones & Company (NYSE:DJ) hat am 13. Juni 2007 seine Partnerschaft mit PodZinger bekannt gegeben. PodZinger ist derzeit die einzige Multimedia-Plattform, die es ermöglicht, Audio- und Videoinhalte über Schlagworte zu suchen. Diese Suchfunktion wird über die Nachrichten- und Wirtschaftsinformationsdienste Factiva.com und Factiva iWorks zur Verfügung stehen. So können Anwender ab August 2007 Video- und Audio-Informationen abrufen, darunter Wirtschaftsnachrichten, CEO-Interviews, Vorträge von führenden Managern, Jahreshauptversammlungen, Produktrezensionen und andere einschlägige Inhalte. Laut eMarketer wurden allein im Januar 2007 über 7,2 Milliarden Videostreams von mehr als 123 Millionen Konsumenten betrachtet. AccuStream iMedia erwartet ein jährliches Wachstum an Multimedia-Nutzern von 30 Prozent. Trotzdem ist es noch immer sehr zeitaufwändig, relevante Inhalte zu finden, weil die meisten Multimedia-Seiten nur begrenzt Metadaten anbieten und nur rudimentäre Suchmöglichkeiten für Audio- und Videoinhalte zur Verfügung stellen. Oft resultieren aus der Suche dann große Informationsmengen, die für den Suchenden kaum relevant sind. Das Multimedia-Angebot von Factiva basiert auf den Speech-to-Text und Natural Language Technologien von PodZinger. Genutzt wird bei Factiva Multimedia auch das patentierte Factiva Intelligent Indexing(TM), und Suchergebnisse werden in Form von Charts und Grafiken dargestellt. Der Anwender erhält damit einen Überblick über den Kontext seiner Recherche. Gemäß einer Studie, die PodZinger 2006 in Auftrag gegeben hatte, hören oder schauen sich Menschen nur rund 15 Prozent einer Audio- oder Videodatei an. Dow Jones kombiniert die Stärken von Factiva und PodZinger zu einer einzigartigen Multimedia-Suchmaschine. Relevante Inhalte können mit Hilfe von spezifischen Suchbegriffen herausgefiltert werden. Anschließend können die Anwender selbst entscheiden, ob sie den gesamten Clip oder nur den für ihn relevanten Teil sehen oder hören wollen. Das Multimedia Angebot von Factiva umfasst ergänzend: Kontinuierlich aktualisierte Inhalte aus mehr als 4.000 Nachrichten- und Wirtschaftsquellen mit mehr als 300.000 Clips. Ein 90-Tage-Archiv aus einer Sammlung von Nachrichtenquellen wie dem Wall Street Journal, NPR, CNN, BBC Radio und mehr. Oberfläche in Deutsch, Englisch, Spanisch, Französisch und Russisch

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Date

12. 8.2012 18:05:22