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학술지 Extensible Hierarchical Method of Detecting Interactive Actions for Video Understanding
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저자
문진영, 진준호, 권용진, 강규창, 박종열, 박경
발행일
201708
출처
ETRI Journal, v.39 no.4, pp.502-513
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.17.0116.0054
협약과제
16MS2400, (1세부) 실시간 대규모 영상 데이터 이해·예측을 위한 고성능 비주얼 디스커버리 플랫폼 개발, 박경
초록
For video understanding, namely analyzing who did what in a video, actions along with objects are primary elements. Most studies on actions have handled recognition problems for a well-trimmed video and focused on enhancing their classification performance. However, action detection, including localization as well as recognition, is required because, in general, actions intersect in time and space. In addition, most studies have not considered extensibility for a newly added action that has been previously trained. Therefore, proposed in this paper is an extensible hierarchical method for detecting generic actions, which combine object movements and spatial relations between two objects, and inherited actions, which are determined by the related objects through an ontology and rule based methodology. The hierarchical design of the method enables it to detect any interactive actions based on the spatial relations between two objects. The method using object information achieves an F-measure of 90.27%. Moreover, this paper describes the extensibility of the method for a new action contained in a video from a video domain that is different from the dataset used.
키워드
Action detection, Generic action, Hierarchical action composition, Inherited action, Video understanding
KSP 제안 키워드
Classification Performance, F-measure, Hierarchical method, Rule-based, Spatial relation, Time and space, Video understanding, action detection, hierarchical design
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