본 논문에서는 H.264/AVC(이하 H.264)로 압축된 바이오 동영상(bio video)의 비트스트림(bitstream)에서 인트라 예측 모드(Intra Prediction mode)와 DC 계수 만을 추출하여 요약 영상(Thumbnail image)을 생성하는 시스템을 구현한다. 제안된 시스템은 먼저 비트스트림의 파싱(parsing) 과정을 수행하여 추출되는 예측모드로 영상의 기본 형태를 구성하고, DC 계수를 이용하여 전체 레벨을 조정하여 요약 영상을 생성한다. 실험을 통해 생성된 요약 영상은 인간 시각적인 평가와 PSNR로 원영상과 비교되었으며, 시스템의 목적상 인간 시각적인 측면에 비중을 둔다. 끝으로 차후 연구 목표에 대해 서술하였다.

In order to fast predict the wind-driven current in a small bay, a convolution method in which the wind-driven current can be generated only with the local wind is developed and applied in the Sachon Bay. The root mean square(rms) ratio defined as the ratio of the rms error to the rms speed is 0.37. The rms ratio is generally less than 0.2, except for all the mouths of Jinju Bay and Namhae-do and in the region between Saryang Island and Sachon. The spatial average of the recover rate of kinetic energy(rrke) is 87 %. Thus, the predicted wind-driven current by the convolution model is in a good agreement with the computed one by the numerical model. The ratio of the difference between observed residual current (Vr) and predicted wind-driven current (Vc) to a residual current, that is, (Vr -Vc)/Vr shows 56%, 62% at 2 moorings in the Sachon Bay.

In order to fast predict the wind-driven current in a small bay, a convolution method in which the wind-driven current can be generated only with the local wind is developed and applied in the idealized bay and the idealized Sachon Bay. The accuracy of the convolution method is assessed through a series of the numerical experiments carried out in the idealized bay and the idealized Sachon Bay. The optimum response function for the convolution method is obtained by minimizing the root mean square (rms) difference between the current given by the numerical model and the current given by the convolution method. The north-south component of the response function shows simultaneous fluctuations in the wind and wind-driven current at marginal region while it shows "sea-saw" fluctuations (in which the wind and wind-driven current have opposite direction) at the central region in the idealized Sachon Bay. The present wind is strong enough to influence on the wind-driven current especially in the idealized Sachon Bay. The spatial average of the rms ratio defined as the ratio of the rms error to the rms speed is 0.05 in the idealized bay and 0.26 in the idealized Sachon Bay. The recover rate of kinetic energy(rrke) is 99% in the idealized bay and 94% in the idealized Sachon Bay. Thus, the predicted wind-driven current by the convolution model is in a good agreement with the computed one by the numerical model in the idealized bay and the idealized Sachon Bay.