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김창익 한국현대언어학회 2005 언어연구 Vol.20 No.3
This paper aims to investigate repair readings for anomalous expressions caused by criteria of aspectual classification. A hearer tends to reconcile incompatible expressions according to a general conversational cooperative principle. Repair reading is the result of endeavor of understanding by the hearer for anomalous expressions. English event predicates can be classified into the four aspectual event classes, which can be also distinguished more clearly in terms of 10 criteria of aspectual classification. When English predicates are combined with an inadequate criterion of aspectual classification, a hearer try to get repair readings by reconciling the criterion into an adequate meaning. There are three kinds of reading in repair readings: onset reading, bounded reading, and repetitive reading.
Fast Extraction of Objects of Interest from Images with Low Depth of Field
김창익,Jungwoo Park,Jaeho Lee,황젝넹 한국전자통신연구원 2007 ETRI Journal Vol.29 No.3
In this paper, we propose a novel unsupervised video object extraction algorithm for individual images or image sequences with low depth of field (DOF). Low DOF is a popular photographic technique which enables the representation of the photographer’s intention by giving a clear focus only on an object of interest (OOI). We first describe a fast and efficient scheme for extracting OOIs from individual low-DOF images and then extend it to deal with image sequences with low DOF in the next part. The basic algorithm unfolds into three modules. In the first module, a higher-order statistics map, which represents the spatial distribution of the high-frequency components, is obtained from an input low-DOF image. The second module locates the block-based OOI for further processing. Using the block-based OOI, the final OOI is obtained with pixel-level accuracy. We also present an algorithm to extend the extraction scheme to image sequences with low DOF. The proposed system does not require any user assistance to determine the initial OOI. This is possible due to the use of low-DOF images. The experimental results indicate that the proposed algorithm can serve as an effective tool for applications, such as 2D to 3D and photorealistic video scene generation.