Work

Intelligent multimedia indexing and retrieval through multi-source information extraction and merging

Year: 2003

Type: conference-paper

Abstract: This paper reports work on automated meta-data creation for multimedia content. The approach results in the generation of a conceptual index of the content which may then be searched via semantic categories instead of keywords. The novelty of the work is to exploit multiple sources of information relating to video content (in this case the rich range of sources covering important sports events). News, commentaries and web reports covering international football games in multiple languages and multiple modalities is analysed and the resultant data merged. This merging process leads to increased accuracy relative to individual sources.

Source: University of Twente Research Information

Authors: Kuper, Jan, Saggion, H., Cunningham, H., Declerck, T., de Jong, Franciska M.G., Reidsma, Dennis; id_orcid 0000-0002-7503-573X, Wilks, Y., Wittenburg, P.

Institutions: University of Twente, Max Planck Institute for Psycholinguistics, University of Sheffield

Language: English

Topic: Video Analysis and Summarization

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1890943643

FWCI: 2.483

Cites: 13

Cited by: 23

Related to: 10