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Masson et al., 2021 - Google Patents

Digital Access as Archival Reconstitution: Algorithmic Sampling, Visualization, and the Production of Meaning in Large Moving Image Repositories

Masson et al., 2021

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Document ID
2100226644933437345
Author
Masson E
Olesen C
Publication year
Publication venue
Signata. Annales des sémiotiques/Annals of Semiotics

External Links

Snippet

The article explores how the analysis and visualization of sensory features in digitized moving images contributes towards the reconstitution of audiovisual archives, and how this affects how the objects and collections that make up those archives acquire meaning. In …
Continue reading at journals.openedition.org (HTML) (other versions)

Classifications

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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
    • G06F17/30023—Querying
    • G06F17/30038—Querying based on information manually generated or based on information not derived from the media content, e.g. tags, keywords, comments, usage information, user ratings
    • G06F17/30041—Querying based on information manually generated or based on information not derived from the media content, e.g. tags, keywords, comments, usage information, user ratings using location information
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    • G06F17/30029—Querying by filtering; by personalisation, e.g. querying making use of user profiles
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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