FAIRView: Visual Explanations for Video Summaries

FAIRView Corpus: Visual Explanations for Video Summaries This repository contains: 200 videos machine annotated with key concepts extracted from video subtitles and video frames; 800 video summaries (four summaries per video) machine annotated with concepts extracted from video subtitles and frames; 3200 visual explanations (four explanations per video summary with different levels of transparency): semantic coverage semantic prominence quantity coverage distance human validated utility of each visual explanation type (mTurk crowdsourcing study_1 with 20 videos and single summary) human validated representativeness of video summaries with regard to their original videos (mTurk crowdsourcing study_2 with 18 videos with 2 summaries per video). In total 36 video-summary pairs. All results are published in the following paper: Oana Inel, Nava Tintarev and Lora Aroyo: **Eliciting User Preferences for Personalized Explanations for Video Summaries**. UMAP 2020. If you find the paper and the data useful in your research, please consider citing: @inproceedings{inel2020eliciting, title={Eliciting User Preferences for Personalized Explanations for Video Summaries}, author={Inel, Oana and Tintarev, Nava and Aroyo, Lora}, booktitle={To Appear in the Proceedings of the 28th Conference on User Modeling, Adaptation and Personalization (UMAP)}, year={2020}, organization={ACM} }