Abstract: A method for image auto-selection and a computer system thereof are provided. In the method, a characteristic value of each of the images is compared with the predetermined characteristic value stored in a characteristic value database, and the images with less difference between the characteristic value and the predefined characteristic values are selected automatically. As a result, the image selection can become more objectively, and the efficiency of image selection can be improved due to the reduction of the manual selection time.

Abstract: A computer system and a method for calculating straightness of facial are provided. In the method, an image is processed to obtain a facial area and eyes locations. The facial area is divided into two sub-areas. Then, each of the sub-area and the corresponding symmetric image thereof are coupled together to form two reference images. Finally, the characteristic values of the facial area and two of the reference images are used for calculating the straightness of the facial area based on the principle of facial symmetry. As a result, the judgment on the straightness of the facial in an image can be more correct and objective, and the situation of taking an image with a tilted angle of facial can be avoided.

Abstract: A method for image auto-selection and a computer system thereof are provided. In the method, a characteristic value of each of the images is compared with the predetermined characteristic value stored in a characteristic value database, and the images with less difference between the characteristic value and the predefined characteristic values are selected automatically. As a result, the image selection can become more objectively, and the efficiency of image selection can be improved due to the reduction of the manual selection time.

Abstract: A computer system and a method for calculating straightness of facial are provided. In the method, an image is processed to obtain a facial area and eyes locations. The facial area is divided into two sub-areas. Then, each of the sub-area and the corresponding symmetric image thereof are coupled together to form two reference images. Finally, the characteristic values of the facial area and two of the reference images are used for calculating the straightness of the facial area based on the principle of facial symmetry. As a result, the judgment on the straightness of the facial in an image can be more correct and objective, and the situation of taking an image with a tilted angle of facial can be avoided.

Abstract: An image composition processing method is disclosed. The image composition processing method includes the steps of obtaining a template from a template database, producing a background in the image displaying area according to the template, wherein the image displaying area has at least a photo reserved area, obtaining a object image from an image capture device, executing an image processing on the object image, and depicting the object image to the photo reserved area after the image processing is finished.

Abstract: A method for adding a dynamic picture to a real-time image and a system thereof are disclosed. First, a source image is obtained, and an image processing is executed on the source image to produce an image with a specific format. Then, a dynamic signet image is produced by integrating a plurality of images with a specific format and stored into a database. A dynamic signet image is loaded from the database and added to a real-time video streaming.