Yonsei University · 情報科学
Professor Chulhee Lee's research lab specializes in visual quality assessment, image and video processing, and medical image analysis. The lab focuses on developing objective video quality metrics by leveraging human visual system characteristics, such as sensitivity to edge degradation and spatiotemporal frequency response, using advanced signal processing techniques like wavelet transforms and sampling theory. A significant part of the lab’s work also involves automated medical image analysis, particularly the segmentation of anatomical structures like the corpus callosum in brain MR images using statistical and shape-based algorithms. The lab bridges perceptual modeling with practical applications in adaptive video streaming and clinical imaging.
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In this paper, we present comparison of three subjective testing methods: the double stimulus continuous quality scale (DSCQS) method, the single stimulus continuous quality evaluation (SSCQE) method and the absolute category rating (ACR) method. The DSCQS method was used for validate objective models in the VQEG Phase II FRTV test. The SSCQE method is chosen to be used in the VQEG RRTV test. The ACR method is chosen to be used in the VQEG Multimedia test. Since a different subjective test metho
We propose a new algorithm to find the corpus callosum automatically from midsagittal brain MR (magnetic resonance) images using the statistical characteristics and shape information of the corpus callosum. We first extract regions satisfying the statistical characteristics (gray level distributions) of the corpus callosum that have relatively high intensity values. Then we try to find a region matching the shape information of the corpus callosum. In order to match the shape information, we pro
The role of employee behavior in organizations and their interaction with management is crucial in advancing the economic progress of workers. This study examines the impact of employee behavior and management practices on organizational performance and economic progress, using advanced artificial intelligence techniques to explore complex relationships and provide evidence-based strategies for sustainable workforce development. The research analyzes critical aspects such as job satisfaction, mo
In this paper, we analyze refrigerator noises through a series of experiments. In the experiments, we performed a number of subjective testing in order to obtain perceptual rating of refrigerator noises. Two refrigerators for home use were selected and noises of the refrigerators were recorded in an anechoic-chamber and a real-life apartment. The noises are recorded at various locations from the refrigerator with different wall settings. The main source of refrigerator noises is a compressor. Th
Problems encountered in analyzing high dimensional data are discussed and possible solutions are proposed. The increased importance of second-order statistics in analyzing high dimensional data and the shortcoming of the minimum distance classifier in high dimensional data are recognized. By investigating characteristics of high dimensional data, it is shown that second-order statistics must be taken into account in high dimensional data. There is a need to represent second order statistics effe
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