Abstract: A method of producing a stereo image from a digital video includes receiving a digital video including a plurality of digital images captured by an image capture device; and using a processor to produce stereo suitability scores for at least two digital images from the plurality of digital images. The method further includes selecting a stereo candidate image based on the stereo suitability scores; producing a stereo image from the selected stereo candidate image wherein the stereo image includes the stereo candidate image and an associated stereo companion image based on the plurality of digital images from the digital video; and storing the stereo image whereby the stereo image can be presented for viewing by a user.

Abstract: A print media (200) comprises paper or other substrate, on which image content, whether text or images are printed with accompanying hidden data (220). The image content is printed with one or more normal printing process visible colorants (340), while the hidden data (220) is printed with spectral edge markers (320). The spectral edge marker materials (320) have a substantial spectral absorption just outside the human visible spectrum, and only slight visible absorption, which is masked by the visible colorants (340). Although the hidden data is nominally visually imperceptible, an image capture device (250) having a visible spectral response that extends into a spectral region just outside the visible spectrum where the spectral edge marker absorption occurs, can then detect the hidden data.

Abstract: A method for providing digital watermarking for text or images that uses spectral edge marking materials (320) printed on a print media (200) to embed hidden data (220). The spectral edge markers (320) have an absorption spectrum at the edge of the human visible spectrum, either at the UV edge or IR edge, which provides an optical density that is generally imperceptible to humans, but which can be detected by an image capture device (250). The crosstalk of visible optical absorption provided by these materials is largely masked by the presence of visible colorant(s) (340), with only small color differences between areas with and without the spectral edge markers (320). The image capture device (250) has a visible spectral response that extends into a spectral region just outside the visible spectrum where the spectral edge marker absorption occurs, and can be operated to detect the hidden data.

Abstract: A method for providing digital watermarking for text or images that uses spectral edge marking materials (320) printed on a print media (200) to embed hidden data (220). The spectral edge markers (320) have an absorption spectrum at the edge of the human visible spectrum, either at the UV edge or IR edge, which provides an optical density that is generally imperceptible to humans, but which can be detected by an image capture device (250). The crosstalk of visible optical absorption provided by these materials is largely masked by the presence of visible colorant(s) (340), with only small color differences between areas with and without the spectral edge markers (320). The image capture device (250) has a visible spectral response that extends into a spectral region just outside the visible spectrum where the spectral edge marker absorption occurs, and can be operated to detect the hidden data.

Abstract: A print media (200) comprises paper or other substrate, on which image content, whether text or images are printed with accompanying hidden data (220). The image content is printed with one or more normal printing process visible colorants (340), while the hidden data (220) is printed with spectral edge markers (320). The spectral edge marker materials (320) have a substantial spectral absorption just outside the human visible spectrum, and only slight visible absorption, which is masked by the visible colorants (340). Although the hidden data is nominally visually imperceptible, an image capture device (250) having a visible spectral response that extends into a spectral region just outside the visible spectrum where the spectral edge marker absorption occurs, can then detect the hidden data.

Abstract: A method of using an image capture device to identify range information for objects in a scene includes providing an image capture device having an image sensor, a coded aperture having circular symmetry, and a lens; storing in a memory a set of blur parameters derived from range calibration data; capturing images of the scene having a plurality of objects; producing a set of reference edge images using the blur parameters from the stored set; providing a set of deblurred images using the captured image, the reference edges and each of the blur parameters from the stored set; and using the set of deblurred images to determine the range information for the objects in the scene.

Abstract: An imaging apparatus with adjustable imaging plane, the apparatus having mechanical, electronic or optical devices to adjust the position and the orientation of the imaging plane, which successively captures a plurality of images while adjusting the imaging plane, and a method to integrate the captured images to a single high-resolution image by exploration of the mutual information not available in a single image, such as the sub-pixel observations due to the spatial misalignment, thus achieving an image resolution higher than the sensor resolution.

Abstract: A method of producing a stereo image from a digital video includes receiving a digital video including a plurality of digital images captured by an image capture device; and using a processor to produce stereo suitability scores for at least two digital images from the plurality of digital images. The method further includes selecting a stereo candidate image based on the stereo suitability scores; producing a stereo image from the selected stereo candidate image wherein the stereo image includes the stereo candidate image and an associated stereo companion image based on the plurality of digital images from the digital video; and storing the stereo image whereby the stereo image can be presented for viewing by a user.

Abstract: A method of using an image capture device to identify range information for objects in a scene includes providing an image capture device having an image sensor, a coded aperture having circular symmetry, and a lens; storing in a memory a set of blur parameters derived from range calibration data; capturing images of the scene having a plurality of objects; producing a set of reference edge images using the blur parameters from the stored set; providing a set of deblurred images using the captured image, the reference edges and each of the blur parameters from the stored set; and using the set of deblurred images to determine the range information for the objects in the scene.

Abstract: In order to analyze a digital video clip to determine candidate frames for subsequent key frame selection, a camera motion sensor is provided in the camera so that information is provided during image capture regarding camera motion including translation of the scene or camera, or scaling of the scene. The sensor includes an accelerometer or a lens motor sensor. A plurality of video segments is formed based on the global motion estimate and each segment is labeled in accordance with a predetermined series of camera motion classes. Thereafter, key frame candidates are extracted from the labeled segments and a confidence score is computed for each candidate by using rules corresponding to each camera motion class and a rule corresponding to object motion.

Abstract: A method and apparatus for capturing image data from multiple image sensors and generating an output image sequence are disclosed. The multiple image sensors capture data with one or more different characteristics, such as: staggered exposure periods, different length exposure periods, different frame rates, different spatial resolution, different lens systems, and different focal lengths. The data from multiple image sensors is processed and interleaved to generate an improved output motion sequence relative to an output motion sequence generated from an a single equivalent image sensor.

Abstract: In an image sequence stabilization method and a camera, a sequence of input digital images are captured. The sequence of input digital images is replicated to provide a corresponding sequence of archival images and a corresponding sequence of display images. The archival image sequence is automatically stabilized to provide a stabilized archival image sequence. The display image sequence is automatically stabilized to provide a stabilized display image sequence. The stabilization methods used for the two sequences are different, although both can be digital.

Abstract: An imaging apparatus with adjustable imaging plane, said apparatus having mechanical, electronic or optical means to adjust the position and the orientation of the imaging plane, which successively captures a plurality of images while adjusting the imaging plane, and a method to integrate the captured images to a single high-resolution image by exploration of the mutual information not available in a single image, such as the sub-pixel observations due to the spatial misalignment, thus achieving an image resolution higher than the senor resolution.

Abstract: A method and apparatus for capturing image data from multiple image sensors and generating an output image sequence are disclosed. The multiple image sensors capture data with one or more different characteristics, such as: staggered exposure periods, different length exposure periods, different frame rates, different spatial resolution, different lens systems, and different focal lengths. The data from multiple image sensors is processed and interleaved to generate an improved output motion sequence relative to an output motion sequence generated from an a single equivalent image sensor.

Abstract: A JPEG2000 compressed image is transcoded to a lower bit-rate or lower resolution, or both, without having to decompress the initial JPEG2000 image and then recompress it to a lower bit-rate and/or resolution. Instead, arithmetic decoding is performed only to the nearest higher bit-rate layer, up to the desired resolution, before performing rate-distortion optimization to produce the transcoded image.

Abstract: A method for video filtering of an input video sequence by utilizing joint motion and noise estimation includes the steps of: (a) generating a motion-compensated video sequence from the input video sequence and a plurality of estimated motion fields; (b) spatiotemporally filtering the motion compensated video sequence, thereby producing a filtered, motion-compensated video sequence; (c) estimating a standard deviation from the difference between the input video sequence and the filtered, motion-compensated video sequence, thereby producing an estimated standard deviation; (d) estimating a scale factor from the difference between the input video sequence and the motion compensated video sequence; and (e) iterating through steps (a) to (d) using the scale factor previously obtained from step (d) to generate the motion-compensated video sequence in step (a) and using the estimated standard deviation previously obtained from step (c) to perform the filtering in step (b) until the value of the noise level approach

Abstract: A method of producing a video thumbnail for previewing a video file representing a digital video in a file browser includes extracting a plurality of key frames from the video file; producing a video thumbnail using an encoded representation of the extracted key frames; and displaying the video thumbnail through the file browser.

Abstract: A method of analyzing a digital video clip captured by a camera to determine candidate frames for subsequent key frame selection including providing a camera motion sensor in the camera so that information is provided during image capture regarding camera motion including translation of the scene or camera, or scaling of the scene; forming a plurality of video segments based on the global motion estimate and labeling each segment in accordance with a predetermined series of camera motion classes; extracting key frame candidates from the labeled segments and computing a confidence score for each candidate by using rules corresponding to each camera motion class and a rule corresponding to object motion.

Abstract: A JPEG2000 compressed image is transcoded to a lower bit-rate or lower resolution, or both, without having to decompress the initial JPEG2000 image and then recompress it to a lower bit-rate and/or resolution. Instead, arithmetic decoding is performed only to the nearest higher bit-rate layer, up to the desired resolution, before performing rate-distortion optimization to produce the transcoded image.

Abstract: In an image sequence stabilization method and a camera, a sequence of input digital images are captured. The sequence of input digital images is replicated to provide a corresponding sequence of archival images and a corresponding sequence of display images. The archival image sequence is automatically stabilized to provide a stabilized archival image sequence. The display image sequence is automatically stabilized to provide a stabilized display image sequence. The stabilization methods used for the two sequences are different, although both can be digital.