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This study aims to analyze movies which contain various stories according to the size of their shots. To achieve this, it is needed to classify dataset according to the shot size, such as extreme close-up shots, close-up shots, medium shots, full shots, and long shots. However, a typical video storytelling is mainly composed of close-up shots, medium shots, full shots, and long shots, it is not an easy task to construct an appropriate dataset for extreme close-up shots. To solve this, we propose an image cropping method based on the region of interest (ROI) detection. In this paper, we use the face detection and saliency detection to estimate the ROI. By cropping the ROI of close-up images, we generate extreme close-up images. The dataset which is enriched by proposed method is utilized to construct a model for classifying shots based on its size. The study can help to analyze the emotional changes of characters in video stories and to predict how the composition of the story changes over time. If AI is used more actively in the future in entertainment fields, it is expected to affect the automatic adjustment and creation of characters, dialogue, and image editing.
It is necessory to determine the I. C. R at the mandibular movent in order to understand the biomechanics of temporomandibular dysfunction.Ia this study, the I. C. R was determined by the computer program of planer rigid body Model and the computer graphic opening and closing movements of mandible were obtained according to the determined I. C. R. The results obtained from this study were as follows. 1. The I. C. R were determined by planer rigid body model and were not positioned within the condyle at the mandibular openting & closing movement. 2. The opening path and the closing path traced by the most sup. point of the condyle showed a slight difference. 3. The movement patterns of the condyle shape were assumpted to the anatomical curvature of the aricular eminence. 4. The openign and closing mandibular movements were simulated by the determined I. C. R.
It is clinically important to determine the physiological centric relation as the treatment position of a patient with temporomandibular dysfunction. But, the physiologic mechanism responsible for centric relation is unknown, and there-fore several different theories have been developed. In this study, it was presented a determining method of centric relation by the use of-leaf gauge and EM_2. The results were as follows. 1. A locating centric relation with a leaf gauge is a physiologic method. 2. It is necessory to equalize the muscle activities of right and left closing muscles with the EM_2 in the case of locating centric relation using a leaf gauge. 3. It is necessory to determine adquate thickness of leaf gauge obtain to the optimum position of the condyle in centric relation statistically.