VIADAT-REPO is a modification to lindat-dspace platform; it's a part of the VIADAT project and as such will be a part of a "virtual assistant" for processing, annotation, enrichment and accessing of audio and video recordings.
VIADAT-REPO is an additional module to the lindat-dspace platform which allows for depositing data records in the field of oral history, including its specific metadata workflow; it has been created within the VIADAT project and as such will be a part of a "virtual assistant" for processing, annotation, enrichment and accessing of audio and video recordings. This package contains VIADAT-DEPOSIT module; bundled with VIADAT-REPO to ease the integration.
VIADAT-SEARCH in connection with VIADAT-REPO enables searching transcripts of oral history recordings. Language analysis has been used to preprocess the recordings, which makes it possible to search the fulltext using multiple criteria, including names, different forms of the same word etc.
Developed in cooperation with ÚSD AV ČR and NFA.
A VIADAT module; the purpose of VIADAT-STAT is statistical analysis of recordings stored by the platform.
Developed in cooperation with ÚSD AV ČR and NFA.
A VIADAT module; the purpose of VIADAT-STAT is statistical analysis of recordings stored by the platform.
Developed in cooperation with ÚSD AV ČR and NFA.
Victor is a web page cleaning tool. It is aimed at removing menu, ads, footers, headers, etc. from HTML web pages, so that only main web page content remains. Victor is based on a conditional random fields algorithm.
Victoria is an on-line HTML web page annotation tool suitable for selecting texts on the web pages. It can be used to mark important/interesting parts of web pages for further processing.
This is an XML dataset of 17 lecture recordings randomly sampled from the lectures recorded at the Faculty of Informatics, Brno, Czechia during 2010–2016. We drew a stratified sample of up to 25 video frames from each recording. In each video frame, we annotated lit projection screens and their condition. For each lit projection screen, we annotated lecture materials shown in the screen. The dataset contains 699 projection screen annotations, and 925 lecture materials.