Abstract: A motion sensor device comprises: a reverse electrowetting-on-dielectric (REWOD) generator configured to generate alternating current (AC) based on motion; a motion sensor configured to measure motion data; and a wireless motion sensor read-out circuit coupled to the REWOD generator and the motion sensor, the wireless motion sensor read-out circuit configured to transmit the motion data and operate on the AC from the REWOD generator.

Abstract: Systems, methods, and computer readable media for adjusting the orientation of an image frame and a scene depicted in the image frame are described. In general, techniques are disclosed for analyzing an image with one or more feature detectors to identify features in the image. An alignment or position associated with one or more features identified in the image may be used to determine a proper orientation for the image frame. The image can then be rotated to the proper orientation. It may also be determined if a scene depicted in the image is properly aligned in the rotated image orientation. If not, alignment information associated with the identified features may be utilized to straighten the depicted scene.

Abstract: A method and system for controlling multiple image editing controls using one master control. The system identifies various characteristics of an image being edited. The system generates, for each of multiple image editing controls, a relationship between the master control and the image editing control. The relationship is based on at least one of the identified characteristics of the image being edited. The relationship is different for different images when the different images have different characteristics, such as different average color component values at a particular percentile of pixels in the images.

Abstract: Systems, methods, and computer readable media for adjusting the orientation of an image frame and a scene depicted in the image frame are described. In general, techniques are disclosed for analyzing an image with one or more feature detectors to identify features in the image. An alignment or position associated with one or more features identified in the image may be used to determine a proper orientation for the image frame. The image can then be rotated to the proper orientation. It may also be determined if a scene depicted in the image is properly aligned in the rotated image orientation. If not, alignment information associated with the identified features may be utilized to straighten the depicted scene.

Abstract: A method and system for controlling multiple image editing controls using one master control. The system identifies various characteristics of an image being edited. The system generates, for each of multiple image editing controls, a relationship between the master control and the image editing control. The relationship is based on at least one of the identified characteristics of the image being edited. The relationship is different for different images when the different images have different characteristics, such as different average color component values at a particular percentile of pixels in the images.

Abstract: Systems, methods, and computer readable media for adjusting the orientation of an image frame and a scene depicted in the image frame are described. In general, techniques are disclosed for analyzing an image with one or more feature detectors to identify features in the image. An alignment or position associated with one or more features identified in the image may be used to determine a proper orientation for the image frame. The image can then be rotated to the proper orientation. It may also be determined if a scene depicted in the image is properly aligned in the rotated image orientation. If not, alignment information associated with the identified features may be utilized to straighten the depicted scene.

Abstract: One aspect of the subject matter described in this specification can be implemented in a method that includes sampling an image to generate a sample portion; evaluating pixels in the sample portion to determine whether the pixels correspond to skin tone colors; generating, based on the determination, a skin tone result indicating a confidence level that the received image includes a depiction of human skin; and providing the skin tone result to an image management application to indicate a likelihood the image depicts a human face.

Abstract: Systems, methods, and computer readable media for adjusting the orientation of an image frame and a scene depicted in the image frame are described. In general, techniques are disclosed for analyzing an image with one or more feature detectors to identify features in the image. An alignment or position associated with one or more features identified in the image may be used to determine a proper orientation for the image frame. The image can then be rotated to the proper orientation. It may also be determined if a scene depicted in the image is properly aligned in the rotated image orientation. If not, alignment information associated with the identified features may be utilized to straighten the depicted scene.

Abstract: A computer-implemented method for detecting a red-eye artifact that includes receiving an image depicting a first eye and a second eye corresponding to a human face, and coordinates corresponding to a location of the first eye and the second eye in the image; calculating a distance between the first eye and the second eye using the received coordinates; obtaining a skin tone sample from the image based on the calculated distance and the received coordinates; generating a skin tone color region in a color space based on the obtained skin tone sample; classifying a pixel corresponding to the first eye as a red-eye pixel by comparing the pixel with the generated skin tone color region and a predetermined red-eye color region; and storing an indication of the classifying relative to the pixel.

Abstract: Methods, systems, and apparatus, including computer program products, for evaluating image data. In one aspect, a method includes accessing an image that includes a candidate face, such as a face detected during a face detection operation. The method further includes generating a sharpness measure based on image data corresponding to the candidate face, evaluating the sharpness measure to determine a confidence score representing a likelihood that the candidate face corresponds to a human face, and accepting the candidate face when the confidence score compares in a predetermined manner to a confidence threshold. Additionally, the method can be implemented to include generating a skin tone measure based on image data corresponding to the candidate face and evaluating the sharpness measure in combination with the skin tone measure to determine the confidence score.

Abstract: A method performed by one or more computers programmed to enhance images, the method including receiving an image and a face region associated with the image, sampling pixels from the face region, generating, based on the sampled pixels, a face-region evaluation, identifying a modification to the image based on the face-region evaluation, and modifying the image in accordance with the identified modification.

Abstract: One aspect of the subject matter described in this specification can be implemented in a method that includes sampling an image to generate a sample portion; evaluating pixels in the sample portion to determine whether the pixels correspond to skin tone colors; generating, based on the determination, a skin tone result indicating a confidence level that the received image includes a depiction of human skin; and providing the skin tone result to an image management application to indicate a likelihood the image depicts a human face.

Abstract: The present invention introduces an intuitive system for digital processing. The system of the present invention allows a user to enhance digital images that appear dark or dull. In one embodiment, the user activates an image enhancement button on a graphical user interface using cursor control device such as a mouse button. In one embodiment, the digital image enhancement system is implemented using a nonlinear brightness level transformation correction and a pseudo gamma correction. The parameters for both the nonlinear brightness level transformation correction and a pseudo gamma correction are determined from examining the properties of the image to be enhanced.

Abstract: A method performed by one or more computers programmed to enhance images, the method including receiving an image and a face region associated with the image, sampling pixels from the face region, generating, based on the sampled pixels, a face-region evaluation, identifying a modification to the image based on the face-region evaluation, and modifying the image in accordance with the identified modification.

Abstract: A computer-implemented method for detecting a red-eye artifact that includes receiving an image depicting a first eye and a second eye corresponding to a human face, and coordinates corresponding to a location of the first eye and the second eye in the image; calculating a distance between the first eye and the second eye using the received coordinates; obtaining a skin tone sample from the image based on the calculated distance and the received coordinates; generating a skin tone color region in a color space based on the obtained skin tone sample; classifying a pixel corresponding to the first eye as a red-eye pixel by comparing the pixel with the generated skin tone color region and a predetermined red-eye color region; and storing an indication of the classifying relative to the pixel.

Abstract: One aspect of the subject matter described in this specification can be implemented in a method that includes sampling an image to generate a sample portion; evaluating pixels in the sample portion to determine whether the pixels correspond to skin tone colors; generating, based on the determination, a skin tone result indicating a confidence level that the received image includes a depiction of human skin; and providing the skin tone result to an image management application to indicate a likelihood the image depicts a human face.

Abstract: Methods, systems, and apparatus, including computer program products, for evaluating image data. In one aspect, a method includes accessing an image that includes a candidate face, such as a face detected during a face detection operation. The method further includes generating a sharpness measure based on image data corresponding to the candidate face, evaluating the sharpness measure to determine a confidence score representing a likelihood that the candidate face corresponds to a human face, and accepting the candidate face when the confidence score compares in a predetermined manner to a confidence threshold. Additionally, the method can be implemented to include generating a skin tone measure based on image data corresponding to the candidate face and evaluating the sharpness measure in combination with the skin tone measure to determine the confidence score.

Abstract: To better realize the great potential of amateur digital photography, the present invention introduces an intuitive system for digital manipulation. The system of the present invention allows a user to simply fix small blemishes in digital images. In one embodiment, the user merely places a cursor on the image blemish and activates a cursor control device such as a mouse button. In one embodiment, the blemish repair system is implemented using one of Dirichlet's theorems. The theorem provides a method of creating a smooth surface within a circle by using the values of points around the circle. To prevent the result from appearing too smooth, some pixelization may be added.

Abstract: To better realize the great potential of amateur digital photography, the present invention introduces an intuitive system for digital processing. The system of the present invention allows a user to enhance digital images that appear dark or dull. In one embodiment, the user activates an image enhancement button on a graphical user interface using cursor control device such as a mouse button. In one embodiment, the digital image enhancement system is implemented using a nonlinear brightness level transformation correction and a pseudo gamma correction. The parameters for both the nonlinear brightness level transformation correction and a pseudo gamma correction are determined from examining the properties of the image to be enhanced.

Abstract: Some embodiments provide an intuitive system for digital image processing. In some embodiments, the system of the present invention allows a user to enhance digital images that appear dark or dull. In some embodiments, the user activates an image enhancement button on a graphical user interface using cursor control device such as a mouse button. In some embodiments, the digital image enhancement system is implemented using a nonlinear brightness level transformation correction and a pseudo gamma correction.