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Audiovisual Search | Ontario Jewish Archives
https://search.ontariojewisharchives.org/Audiovisual-Search
Search the Archives for Audiovisual. The OJA has over 300 hours of oral histories and over 60 hours of Jewish life captured on film and audio tape in our collections. This material is being digitized in order to provide better access in the future. Use this search option to locate digitized and born-digital audiovisual records in the OJA's ...
APES: Audiovisual Person Search in Untrimmed Video ...
https://paperswithcode.com/paper/apes-audiovisual-person-search-in-untrimmed
In this paper, we present the Audiovisual Person Search dataset (APES), a new dataset composed of untrimmed videos whose audio (voices) and visual (faces) streams are densely annotated. APES contains over 1.9K identities labeled along 36 hours of video, making it the largest dataset available for untrimmed audiovisual person search.
United Nations UN Audiovisual Library
https://www.unmultimedia.org/avlibrary/search/search.jsp?sort=cdate_desc&series=UN+Dateline&
The Audiovisual Library's mission is to provide access to and preserve the audiovisual archives from over 70 years of the history of the Organization. The Audiovisual Library makes the audio, film and video collections widely accessible to UN Offices, UN Family Organizations, professional media organizations, broadcasters, independent producers, governments, institutions and non …
[2106.01667] APES: Audiovisual Person Search in …
https://arxiv.org/abs/2106.01667
In this paper, we present the Audiovisual Person Search dataset (APES), a new dataset composed of untrimmed videos whose audio (voices) and visual (faces) streams are densely annotated. APES contains over 1.9K identities labeled along 36 hours of video, making it the largest dataset available for untrimmed audiovisual person search.
APES: Audiovisual Person Search in Untrimmed Video
https://joonyoung-cv.github.io/assets/paper/21_cvprw_apes_audiovisual.pdf
Audiovisual PErson Search (APES). We introduce APES, a novel video dataset for multimodal person retrieval. The dataset includes annotations of identities for faces and voice segments extracted from untrimmed videos. We establish three new person search tasks. (i) Seen aims to retrieve all timestamps when a target person is on-screen.
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