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 of relocating a notification icon corresponding to a notification area displayed on a computer screen includes providing a display window displayed on the screen, hooking messages inputted to or outputted from the notification area, obtaining icon information and function information of the notification icon according to the hooked messages, hiding the notification icon, displaying the notification icon on the display window according to the icon information, and then providing functions of the notification icon according to the function information.

Abstract: A video processing system for a virtual camera is disclosed. A processing unit obtains a frame of a video source from a image capture device, determines the maximum frame size of the video stream and a first size and a second size of frames needed by a first application program and a second application program, transfers a first frame whose size conforms to the first size to the first buffer according to the frame size of the video stream, and simultaneously copies and transfers a second frame whose size conforms to the second size from the first buffer to the second buffer. A first virtual camera obtains the first frame from the first buffer and transfers the first frame to the first application program to display. A second virtual camera obtains the second frame from the second buffer and transfers the second frame to the second application program to display.

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.