Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.

Abstract: A treatment regimen for psoriasis, eczema or other skin ailment, inflammation, autoimmune disease, leukemia, melanoma or other cancer includes administering to a patient a known or discovered treatment regimen along with periodic doses of an herbal combination including Sheng Di Huang, Da Huang or Jin Yin Hua or combinations thereof.

Abstract: A treatment regimen for psoriasis, eczema or other skin ailment, inflammation, autoimmune disease, leukemia, melanoma or other cancer includes administering to a patient a known or discovered treatment regimen along with periodic doses of an herbal combination including Sheng Di Huang, Da Huang or Jin Yin Hua or combinations thereof.

Abstract: A shampoo, conditioner, cream, ointment or other topical treatment includes an active herbal combination of Sheng Di Huang, Da Huang and Jin Yin Hua for treating eczema, and/or another skin or scalp disorder.

Abstract: A shampoo, conditioner, cream, ointment or other topical treatment includes an active herbal combination of Sheng Di Huang, Da Huang and Jin Yin Hua for treating eczema, and/or another skin or scalp disorder.

Abstract: A video editing system and method using multi-stakeholder, multi-stage control are described. In one embodiment, the video editing system comprises editing processing logic controllable to perform, on one or more raw input feeds, a plurality of different edits to render one or more final cut clips for viewing, where the editing processing logic is part of each of a plurality of stages of an editing process that is responsive to a plurality of stakeholders interacting with the tagging and the highlights to generate the plurality of final cut streams, and each of the one or more edits to transform data from one or more of the raw input feeds into the one or more of the plurality of final cut clips by generating tags that identify highlights from signals, and generating one or more variations of the final cut clips as a result of independent control and application of the editing processing logic to data from the one or more raw input feeds.

Abstract: A video editing system and method with multi-stage control to generate clips are described.

Abstract: A video editing apparatus and method for generating multiple final cut clips is described. In one embodiment, a video editing system comprises editing processing logic controllable to perform, on one or more raw input feeds, a plurality of different edits to render one or more final cut clips for viewing, where each of the one or more edits transforms data from one or more of the raw input feeds into the one or more of the plurality of final cut clips by generating tags that identify highlights from signals, and generating one or more variations of the final cut clips as a result of independent control and application of the editing processing logic to data from the one or more raw input feeds.

Abstract: A video editing system and method using multi-stakeholder control are described. In one embodiment, the video editing system comprises editing processing logic controllable to perform, on one or more raw input feeds, a plurality of different edits to render one or more final cut clips for viewing, where each of the one or more edits transforms data from one or more of the raw input feeds into the one or more of the plurality of final cut clips by generating tags that identify highlights from signals, and generating one or more variations of the final cut clips as a result of independent control and application of the editing processing logic to data from the one or more raw input feeds, wherein the highlights are generated based on a master highlight list generated based on processing of tags from the tagging.

Abstract: A technique for processing a digital image uses face detection to achieve one or more desired image processing parameters. A group of pixels is identified that corresponds to a face image within the digital image. A skin tone is detected for the face image by determining one or more default color or tonal values, or combinations thereof, for the group of pixels. Values of one or more parameters are adjusted for the group of pixels that correspond to the face image based on the detected skin tone.

Abstract: A method of tracking faces in an image stream with a digital image acquisition device includes receiving images from an image stream including faces, calculating corresponding integral images, and applying different subsets of face detection rectangles to the integral images to provide sets of candidate regions. The different subsets include candidate face regions of different sizes and/or locations within the images. The different candidate face regions from different images of the image stream are each tracked.

Abstract: A digital camera includes an optical assembly and image sensor for capturing still and/or video images and displaying the images on a rear display screen. The camera includes a magnifying viewfinder that is coupled to the housing and is movable between a stowed position out of the way of the display screen and an active position for viewing a subset of display screen pixels with magnification.

Abstract: A digital camera includes an optical assembly and image sensor for capturing still and/or video images and displaying the images on a screen. The camera includes multiple LEDs and/or a rotatable lens mounted flash to provide illumination during image capture.

Abstract: A digital camera includes an optical assembly and image sensor for capturing still and/or video images and displaying the images on a screen. The camera includes a touch slider that is configured for sensing a relative movement of a finger, thumb or stylus or other tool of a user, or combinations thereof, and adjusting a value of an imaging parameter based on the relative movement.

Abstract: A digital camera includes an optical assembly and image sensor for capturing still and/or video images and displaying the images on a screen. A hot shoe bracket is configured for coupling a second image capture device to the digital camera housing.

Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.

Abstract: A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes at least one partial face region identified within the digital image for the red-eye phenomenon and modifies the image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate.

Abstract: A method of tracking faces in an image stream with a digital image acquisition device includes receiving images from an image stream including faces, calculating corresponding integral images, and applying different subsets of face detection rectangles to the integral images to provide sets of candidate regions. The different subsets include candidate face regions of different sizes and/or locations within the images. The different candidate face regions from different images of the image stream are each tracked.

Abstract: A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level.

Abstract: A method for providing improved foreground/background separation in a digital image of a scene is disclosed. The method comprises providing a first map comprising one or more regions provisionally defined as one of foreground or background within the digital image; and providing a subject profile corresponding to a region of interest of the digital image. The provisionally defined regions are compared with the subject profile to determine if any of the regions intersect with the profile region. The definition of one or more of the regions in the map is changed based on the comparison.