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학술대회 Challenging Issues in Visual Information Understanding Researches
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저자
강규창, 권용진, 문진영, 배창석
발행일
201501
출처
International Conference on MultiMedia Modeling (MMM) 2015 (LNCS 8936), v.8936, pp.458-469
ISSN
0302-9743
DOI
https://dx.doi.org/10.1007/978-3-319-14442-9_51
협약과제
14MS4500, (1세부) 실시간 대규모 영상 데이터 이해·예측을 위한 고성능 비주얼 디스커버리 플랫폼 개발, 박경
초록
Visual information understanding is known as one of the most difficult and challenging problems in the realization of machine intelligence. This paper presents research issues and overview of the current state of the art in the general flow of visual information understanding. In general, the first stage of the visual understanding starts from the object segmentation. Using the saliency map based on human visual attention model is one of the most promising methods for object segmentation. The next step is scene understanding by analyzing semantics between objects in a scene. This stage finds description of image data with a formatted text. The third step requires space understanding and context awareness using multi-view analysis. This step helps solving general occlusion problem very easily. The final stage is time series analysis of scenes and a space. After this stage, we can obtain visual information from a scene, a series of scenes, and space variations. Various technologies for visual understanding already have been tried and some of them are matured. Therefore, we need to leverage and integrate those techniques properly from the perspective of higher visual information understanding.
키워드
Context awareness, Object segmentation, Scene understanding, Space understanding, Time series analysis
KSP 제안 키워드
Challenging issues, Context awareness, Current state, First stage, Image data, Multi-view analysis, Object segmentation, Research Issues, Saliency Map, Scene Understanding, Time Series Analysis(TSA)