Searching for actors, actions, moods (tense/happy) and objects within videos is a manual and time-consuming process, this work created a solution to enable search of video content and automatic summarisation of large video collections.
A semantic annotation tool for videos,
A pipeline for the creation of knowledge graphs of videos,
Algorithms for search and automatic summarisation of videos,
Patentable approach to data modeling and knowledge graph creation for video search and summarisation.
Being able to search over video content and offer summaries of long videos.
Companies could use this to “make sense” of their video content and generate searchable knowledge bases about their video content.
Digital libraries, media organisations, video archives, journalists, entertainment.
@DCUFSH @DCUSNPCH @Joe_Quinn_Davra @Ceic_DCU @AdaptCentre @subhashishhh delighted to receive this award today on behalf of the team