Abstract: An image capturing device includes an image capturing module, an image processing module coupled to the image capturing module, a comparing module, and an activating module. The image capturing module is capable of capturing images of an object including a pair of sequential pre-images and a final image of the object. The image processing module is capable of determining a movement of the object in the pair of sequential pre-images. The comparing module determines whether the movement of the object is within the range of a pre-determined movement tolerance stored in the comparing module and is capable of outputting a first trigger signal if the movement of the object is within the range of the pre-determined movement tolerance. The activating module receives the first trigger signal and activates the image capturing module to capture the final image of the object according to the first trigger signal.

Abstract: An exemplary warning method for avoiding eye stress of a computer user includes: capturing a number of consecutive images of the face of a computer user; processing the images to obtain a number of values each indicative of a degree of openness of the eyes of the computer user; counting an amount of values exceeding a predetermined threshold to obtain accumulated viewing time of the computer user; and triggering a warning means if the accumulated viewing time of the computer satisfies a predetermined condition.

Abstract: A video communication device includes an image capturing module for capturing a video image, and an image processing system. The image processing system includes a face detection module, and a processing module. The face detection module detects a face region and a head region corresponding to the face region in the video image. The processing module generates a processed video image by masking all areas of the video image except the head region, and outputs the processed video image.

Abstract: An exemplary warning method for avoiding eye stress of a computer user includes: capturing a number of consecutive images of the face of a computer user; processing the images to obtain a number of values each indicative of a degree of openness of the eyes of the computer user; counting an amount of values exceeding a predetermined threshold to obtain accumulated viewing time of the computer user; and triggering a warning means if the accumulated viewing time of the computer satisfies a predetermined condition.

Abstract: An exemplary imaging apparatus includes a body, a rotation unit, and an image control unit. The body includes a camera module configured for sensing an image. The body can be attached to the rotation unit. The image control unit includes an image capturing module, a setting module, a retrieving module, and a processing module. The image capturing module is configured for capturing the image. The setting module is configured for setting a predetermined figure and a predetermined position. The retrieving module retrieves data of the predetermined figure and the predetermined position. The processing module controls the rotation unit to rotate until the predetermined figure is detected at the predetermined position in the image. If the predetermined figure is detected at the predetermined position in the image, the imaging apparatus is controlled to take a picture.

Abstract: A video communication device includes an image capturing module for capturing a video image, and an image processing system. The image processing system includes a face detection module, and a processing module. The face detection module detects a face region and a head region corresponding to the face region in the video image. The processing module generates a processed video image by masking all areas of the video image except the head region, and outputs the processed video image.

Abstract: An image capturing device includes an image capturing module, an image processing module coupled to the image capturing module, a comparing module, and an activating module. The image capturing module is capable of capturing images of an object including a pair of sequential pre-images and a final image of the object. The image processing module is capable of determining a movement of the object in the pair of sequential pre-images. The comparing module determines whether the movement of the object is within the range of a pre-determined movement tolerance stored in the comparing module and is capable of outputting a first trigger signal if the movement of the object is within the range of the pre-determined movement tolerance. The activating module receives the first trigger signal and activates the image capturing module to capture the final image of the object according to the first trigger signal.

Abstract: Methods for processing a driver in a portable electronic device are provided. The driver drives the portable electronic device and is stored in a storage unit thereof. The portable electronic device is first coupled to a computer system. The storage unit turns to a storage device of the computer system after coupling. A label of the storage device is then detected. The label specifies the state of the driver. The driver is processed according to the label.

Abstract: Image vibration detection methods and systems for use in a digital camera. First, a photographing process is performed to sense images. At least one first window value of a first sensed image corresponding to an absolute region is calculated, and at least one second window value of a second sensed image corresponding to the absolute region is calculated. A first focus offset is determined according to the at least one first window value and the at least one second window value. It is determined whether the first focus offset exceeds a threshold. If so, a prompt message representing an image vibration occurred during the photographing process is displayed.

Abstract: Image processing methods and systems for use in digital cameras. An image is captured. A region image of a specific region in the image is copied. Data information is embedded on the specific region of the image. The region image, a start address of the specific region in the image, and an offset region corresponding to the region image are recorded to an image file. The image with the data information and an offset corresponding to the image are recorded to the image file. The image without the data information can be recovered by composing the region image to the image.

Abstract: A computer system includes an image capturing module for capturing a first image, a scene generating means for generating a background image according to the first image, a scene comparing means for comparing a second image captured by the image capturing module with the background image so as to generate a comparison result, and a control means for controlling a power consumption mode of the computer system according to the comparison result.

Abstract: A specific image extraction method implemented in an image capture device. First, a second image and a first image containing a subject are captured. Next, a third image is obtained by evaluating the difference between the first image and second image. A fourth image is acquired by performing edge enhancement on the third image. A contour is drawn from the fourth image, and adjusted. The subject is extracted based on the adjusted contour. The extracted subject is displayed using an application executed in the image pickup device.

Abstract: An apparatus for sectioning digital images dynamically in a digital image capture device. The inventive apparatus includes an image capture unit, an image decoding unit, an image processing unit, a section production unit, and a game execution unit. The image capture unit obtains original image data. The image decoding unit decodes the original image data as decoded image data. The image processing unit processes the decoded image data to obtain initial image section data. The section production unit converts the initial image section data to produce final image section data. The game execution displays the final image section data on an image display device for executing a game corresponding to the final image section data.

Abstract: A method for upgrading firmware by a volume label applicable to a computer system and an apparatus connected thereto, the apparatus comprises at least a memory. First, a button is pressed to change the volume label to an update state. Then, the computer system sends a new upgrade file to the memory according to the update state. Then, the volume label is changed from the update state to a burn state. Thereafter, the apparatus sends the new upgrade file from the memory to a synchronous dynamic RAM. Then, the apparatus reads an upgrade software program from an RAM. Finally, the upgrade software program writes the new upgrade file to a flash memory.

Abstract: An image auto-adjusting system calibrates digital image capturing apparatuses. An image capturing module of the apparatus adjusts displayed images according to a set of image adjusting variables. The system comprises a adjusting controller built in the apparatus and a light-path channel. The adjusting controller comprises a set of testing image files and a set of corresponding standard image files. The light-path channel enables a light beam of a testing image displayed on a display module to be captured by the image capturing module and to be an captured image file. The adjusting controller controls the testing image file to be displayed as the testing image on the display module, and the testing image is transmitted to the image capturing module via the light-path channel so as to generate the captured image file. The adjusting controller compares the captured image file with the standard image file to adjust the variables.

Abstract: The invention provides a device and method to determine the exposure setting for an image of a scene with human-face area. Human-face-contour-like patterns are provided in advance. The human-face area of the scene is approximately determined according to a rule, and the specific unit of an exposure metering matrix for the image is also determined. The specific unit relates with the human-face area in the scene. Changing the weighting of the specific unit helps to modify the exposure metering matrix. The exposure setting of the image being captured is then determined according to the modified exposure metering matrix.