Abstract: A method for reducing noise in an image from an image capture device includes filter the image using both an offset fixed pattern noise filter and a gain fixed pattern noise filter. Thereafter, the image is filtered using a remnant fixed pattern noise filter to reduce remnant fixed pattern noise.

Abstract: A method for reducing noise in an image from an image capture device includes filter the image using both an offset fixed pattern noise filter and a gain fixed pattern noise filter. Thereafter, the image is filtered using a remnant fixed pattern noise filter to reduce remnant fixed pattern noise.

Abstract: A system for structuring usage history for audiovisual materials.

Abstract: A transmission systems suitable for video.

Abstract: Aspects of the present invention are related to low complexity systems and methods for nonlinear diffusion filtering of a motion-vector field. Local weights in the nonlinear diffusion filter may be data-adaptive, and, according to one aspect of the present invention, may be determined such that spatial coherency may not be enforced at object boundaries although the object boundaries have not been explicitly detected. Thus, the methods and systems of the present invention may smooth a motion-vector field without smoothing the motion-vector field across an object boundary. According to a second aspect of the present invention, motion vectors with a low confidence value may be suppressed, while motion vectors with a high confidence value may be propagated. According to another aspect of the present invention, motion estimation methods and systems may incorporate the methods and systems of the nonlinear diffusion filtering according to the present invention.

Abstract: A system for presenting a summarization of audio and/or visual content having a plurality of segments to a user together with a graphical user interface that preferably indicates to the viewer the relative temporal position of video segments viewed in the summary within the content from which the summary was derived.

Abstract: Aspects of the present invention are related to systems and methods for determining local-analysis-window size and weighting parameters in a gradient-based motion estimation system.

Abstract: A method for adaptive spatio-temporal filtering is disclosed. Local motion vectors between a current video frame and other nearby video frames are determined. Local motion-aligned temporal confidence parameters are determined. Local spatial orientation parameters are determined. The local motion vectors, the local motion-aligned temporal confidence parameters, and the local spatial orientation parameters are used to adaptively determine spatio-temporal kernel weights. The spatio-temporal kernel weights are used to perform spatio-temporal filtering on input video data.

Abstract: A transmission systems suitable for video.

Abstract: Aspects of the present invention are related to systems and methods for image processing, in particular, de-noising and de-blurring.

Abstract: A method of adaptively encoding video in response to an estimation of bandwidth over a transmission channel, where bandwidth estimation uses feedback packets from a receiver acknowledging receipt of video packets transmitted during an interval when the transmitted packets are not stored in a buffer of a lower network layer.

Abstract: The embodiments of the invention relate to video streaming, particularly to quality-aware adaptive and selective transmissions. The embodiments of the present invention provide for a set of scheduling patterns to be evaluated, and from such set determine the target scheduling pattern that is calculated to provide the least distortion increment based on the evaluation set.

Abstract: A user profiling system preferably includes a set of fuzzy logic operators. Based upon the fuzzy logic operators the user profile may be updated.

Abstract: A system includes effective transmission of compressed audio/video stream as a sequence of audio/video (AV) data units. The system includes a transcoder that transcodes the data at different data unit rates. The system also includes a transmitter that transmits the data units at different average data unit rates. A controller controls the bit rate at which the transcoder transcodes the data units in conjunction with the data unit rate per second at which the transmitter transmits the said transcoded data stream.

Abstract: A method for transmitting data streams from a transmitter to a plurality of receivers over a shared channel that includes a transmitter simultaneously transmitting a plurality of the data streams to the plurality of receivers of the shared channel. The method includes jointly adapting bit rates of the respective data streams being transmitted in accordance with the available bandwidth, a general target time, and a quality measure.

Abstract: A system for modifying images to be shown on displays that have display characteristics dependant on the angle at which a displayed image is viewed. An image may be modified by detecting the position of a viewer relative to a display and based on the detected position, correcting the image.

Abstract: A method for multi-scale spatio-temporal steering kernel regression may include repeatedly spatially downsampling input video data, thereby obtaining spatially downsampled video data at a coarsest spatial resolution scale. The spatially downsampled video data at the coarsest spatial resolution scale may be temporally upscaled to generate an estimate of temporally upscaled video data at the coarsest spatial resolution scale. The temporal upscaling may be achieved using spatio-temporal steering kernel regression. Estimates of the temporally upscaled video data may be repeatedly spatially upscaled to generate an estimate of the temporally upscaled video data at the original spatial resolution. The spatial upscaling may be achieved using spatio-temporal steering kernel regression.

Abstract: A method for video processing based on motion-aligned spatio-temporal steering kernel regression may include estimating local spatio-temporal steering parameters at pixels in input video data. The method may also include using the local spatio-temporal steering parameters to apply motion-aligned spatio-temporal steering kernel regression to the input video data to perform at least one of upscaling and noise smoothing.

Abstract: A method for interpolation includes receiving an input image having a plurality of pixels. The edge direction proximate a first pixel of the input image is estimated using a first technique from a plurality of discrete potential directions. An edge direction is selected based upon the estimating the edge direction proximate the first pixel of the input image using a second technique. The pixels proximate the first pixel are interpolated based upon the selected edge direction. The pixels proximate the first pixel are interpolated based upon another technique. An output image is determined pixels having more pixels than the plurality of pixels based upon step (d) and step (e).

Abstract: The embodiments of the invention relate to video streaming, particularly to quality-aware adaptive and selective transmissions. The embodiments of the present invention provide for a set of scheduling patterns to be evaluated, and from such set determine the target scheduling pattern that is calculated to provide the least distortion increment based on the evaluation set.