Constructing Hierarchical Q&A Datasets for Video Story Understanding
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 허유정 | - |
dc.contributor.author | 온경운 | - |
dc.contributor.author | 최성호 | - |
dc.contributor.author | 임재서 | - |
dc.contributor.author | 김진아 | - |
dc.contributor.author | 류제광 | - |
dc.contributor.author | 배병철 | - |
dc.contributor.author | 장병탁 | - |
dc.date.accessioned | 2020-07-15T09:33:58Z | - |
dc.date.available | 2020-07-15T09:33:58Z | - |
dc.date.created | 2020-02-11 | - |
dc.date.issued | 2019-03-15 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/22805 | - |
dc.description.abstract | (arXiv.org: https://128.84.21.199/abs/1904.00623) Video understanding is emerging as a new paradigm for studying human-like AI. Question-and-Answering (Q&A) is used as a general benchmark to measure the level of intelligence for video understanding. While several previous studies have suggested datasets for video Q&A tasks, they did not really incorporate story-level understanding, resulting in highly-biased and lack of variance in degree of question difficulty. In this paper, we propose a hierarchical method for buildingQ&A datasets, i.e. hierarchical difficulty levels. We introduce three criteria for video story understanding, i.e. memory capacity, logical complexity, and DIKW (Data-Information-Knowledge-Wisdom) pyramid. We discuss how three-dimensionalmap constructed from these criteria can be used as a metric for evaluating the levels of intelligence relating to video story understanding. | - |
dc.description.uri | 1 | - |
dc.language | English | - |
dc.publisher | AAAI (Association for the Advancement of Artifical Intelligence) | - |
dc.relation.isPartOf | AAAI 2019 Spring Symposium | - |
dc.title | Constructing Hierarchical Q&A Datasets for Video Story Understanding | - |
dc.type | Conference | - |
dc.citation.conferencePlace | US | - |
dc.citation.endPage | 9 | - |
dc.citation.startPage | 1 | - |
dc.citation.title | AAAI 2019 Spring Symposium | - |
dc.contributor.alternativeName | 김진아 | - |
dc.identifier.bibliographicCitation | AAAI 2019 Spring Symposium, pp.1 - 9 | - |
dc.description.journalClass | 1 | - |