DramaQA for Video Story Understanding

Updates

2019-11      Challenge Starter Code is released.

2019-11      DramaQA Challenge Leaderboard is open.

2019-11      DramaQA Dataset v1.0 is released.

2019-11      DramaQA homepage is open.





DramaQA for Video Story Understanding


Video Question and Answering (Video QA) is an emerging benchmark task to measure the levels of machine intelligence for video understanding. While several previous studies have suggested datasets for the Video QA task, they did not consider story-level understanding, resulting in a lack of variance in the degree of question difficulty and coherent story-centric description.
DramaQA is a large-scale video QA dataset based on a Korean popular TV show, “Another Miss Oh”. This dataset contains four levels of QA on difficulty and multi-level character-centered story descriptions. We are expecting this dataset could be a starting point to evaluate human level video story understanding.




Paper


To be Announced




People


Kyoungwoon On
Seoul National University
Kyung-Wha Park
Seoul National University
Seong-Ho Choi
Seoul National University
Jiwan Chung
Seoul National University
Yu-Jung Heo
Seoul National University
Gicheon Kang
Seoul National University
Ahjeong Seo
Seoul National University
Hyunsu Kang
Konan Technology
Deokho Yoon
Konan Technology
Minsu Lee
Seoul National University
Gunhee Kim
Seoul National University
Byoung-Tak Zhang
Seoul National University