Abstract: Embodiments of the present invention provide a novel system and/or method for performing over-the-network collaborations and interactions between remote end-users. Embodiments of the present invention produce the perceived effect of each user sharing a same physical workspace while each person is actually located in separate physical environments. In this manner, embodiments of the present invention allow for more seamless interactions between users while relieving them of the burden of using common computer peripheral devices such as mice, keyboards, and other hardware often used to perform such interactions.

Abstract: An apparatus comprising a processor configured to receive a video teleconferencing image, wherein the video teleconferencing image has a background and at least one foreground, wherein the foreground has a boundary, determine the boundary of the foreground, overlay the boundary of the foreground with a drawing area, wherein the drawing area obscures the boundary, and replace the background of the image with a new background.

Abstract: Embodiments of the present invention provide a novel system and/or method for performing over-the-network collaborations and interactions between remote end-users. Embodiments of the present invention produce the perceived effect of each user sharing a same physical workspace while each person is actually located in separate physical environments. In this manner, embodiments of the present invention allow for more seamless interactions between users while relieving them of the burden of using common computer peripheral devices such as mice, keyboards, and other hardware often used to perform such interactions.

Abstract: Embodiments of the present invention include a set of processes and systems for implementing a forward weight-adaptive over-complete transform of an image/video frame, an inverse weight-adaptive over-complete transform of an image/video frame, and fast and low-memory processes for performing the forward weight-adaptive over-complete transform, processing coefficients in the transform domain and performing the inverse weight-adaptive over-complete transform simultaneously.

Abstract: A method and apparatus is disclosed herein for a quality enhancement/super resolution technique. In one embodiment, the method comprises receiving a first version of media at a first resolution and creating a second version of the media at a second resolution higher or equal to the first resolution using at least one transform and adaptive thresholding.

Abstract: A method and apparatus are disclosed herein for reducing at least one or both of flicker and noise in video sequences. In one embodiment, the method comprises receiving an input video and performing operations to reduce one or both of noise and flicker in the input video using spatial and temporal processing.

Abstract: A method and apparatus for non-linear prediction filtering are described. The method may include performing motion compensation to generate a motion compensated prediction using a block from a previously coded frame. The method may also include performing non-linear filtering on the motion compensated prediction in the transform domain with a non-linear filter as part of a fractional interpolation process to generate a motion compensated non-linear prediction. The method may also include subtracting the motion compensated non-linear prediction from a block in a current frame to produce a residual frame, and coding the residual frame.

Abstract: An apparatus comprising a processor configured to receive a video teleconferencing image, wherein the video teleconferencing image has a background and at least one foreground, wherein the foreground has a boundary, determine the boundary of the foreground, overlay the boundary of the foreground with a drawing area, wherein the drawing area obscures the boundary, and replace the background of the image with a new background.

Abstract: A method and apparatus is disclosed herein for performing compression with sparse orthonormal transforms. One method includes receiving a block of data; classifying the block of data based on directional structure; selecting one of a plurality of available directional, orthonormal transforms to apply to the block based on results of classifying the block; and applying the selected transform to the block to generate a plurality of coefficients, thereby producing a compressed version of the block.

Abstract: A method and apparatus is disclosed herein for using an in-the-loop denoising filter for quantization noise removal for video compression. In one embodiment, the video encoder comprises a transform coder to apply a transform to a residual frame representing a difference between a current frame and a first prediction, the transform coder outputting a coded differential frame as an output of the video encoder; a transform decoder to generate a reconstructed residual frame in response to the coded differential frame; a first adder to create a reconstructed frame by adding the reconstructed residual frame to the first prediction; a non-linear denoising filter to filter the reconstructed frame by deriving expectations and performing denoising operations based on the expectations; and a prediction module to generate predictions, including the first prediction, based on previously decoded frames.

Abstract: A method and apparatus is disclosed herein for using an in-the-loop denoising filter for quantization noise removal for video compression. In one embodiment, the video encoder comprises a transform coder to apply a transform to a residual frame representing a difference between a current frame and a first prediction, the transform coder outputting a coded differential frame as an output of the video encoder; a transform decoder to generate a reconstructed residual frame in response to the coded differential frame; a first adder to create a reconstructed frame by adding the reconstructed residual frame to the first prediction; a non-linear denoising filter to filter the reconstructed frame by deriving expectations and performing denoising operations based on the expectations; and a prediction module to generate predictions, including the first prediction, based on previously decoded frames.

Abstract: A method and apparatus is disclosed herein for geometrical image representation and/or compression. In one embodiment, the method comprises creating a representation for image data that includes determining a geometric flow for image data and performing an image processing operation on data in the representation using the geometric flow.

Abstract: A method and apparatus for non-linear prediction filtering are disclosed. In one embodiment, the method comprises performing motion compensation to generate a motion compensated prediction using a block from a previously coded frame, performing non-linear filtering on the motion compensated prediction in the transform domain with a non-linear filter as part of a fractional interpolation process to generate a motion compensated non-linear prediction, subtracting the motion compensated non-linear prediction from a block in a current frame to produce a residual frame, and coding the residual frame.

Abstract: A method and apparatus for non-linear prediction filtering are disclosed. In one embodiment, the method comprises performing motion compensation to generate a motion compensated prediction using a block from a previously coded frame, performing non-linear filtering on the motion compensated prediction in the transform domain with a non-linear filter as part of a fractional interpolation process to generate a motion compensated non-linear prediction, subtracting the motion compensated non-linear prediction from a block in a current frame to produce a residual frame, and coding the residual frame.

Abstract: A method and apparatus are disclosed herein for spatial sparsity induced temporal prediction. In one embodiment, the method comprises: performing motion compensation to generate a first motion compensated prediction using a first block from a previously coded frame; generating a second motion compensated prediction for a second block to be coded from the first motion compensated prediction using a plurality of predictions in the spatial domain, including generating each of the plurality of predictions by generating block transform coefficients for the first block using a transform, generating predicted transform coefficients of the second block to be coded using the block transform coefficients, and performing an inverse transform on the predicted transform coefficients to create the second motion compensated prediction in the pixel domain; subtracting the second motion compensated prediction from a block in a current frame to produce a residual frame; and coding the residual frame.

Abstract: A method and apparatus for non-linear prediction filtering are disclosed. In one embodiment, the method comprises performing motion compensation to generate a motion compensated prediction using a block from a previously coded frame, performing non-linear filtering on the motion compensated prediction in the transform domain with a non-linear filter as part of a fractional interpolation process to generate a motion compensated non-linear prediction, subtracting the motion compensated non-linear prediction from a block in a current frame to produce a residual frame, and coding the residual frame.

Abstract: A method and apparatus for non-linear prediction filtering are disclosed. In one embodiment, the method comprises performing motion compensation to generate a motion compensated prediction using a block from a previously coded frame, performing non-linear filtering on the motion compensated prediction in the transform domain with a non-linear filter as part of a fractional interpolation process to generate a motion compensated non-linear prediction, subtracting the motion compensated non-linear prediction from a block in a current frame to produce a residual frame, and coding the residual frame.

Abstract: A method and apparatus is disclosed herein for geometrical image representation and/or compression. In one embodiment, the method comprises creating a representation for image data that includes determining a geometric flow for image data and performing an image processing operation on data in the representation using the geometric flow.

Abstract: A method and apparatus is disclosed herein for performing content-based and royalty-based encoding. In one embodiment, the method comprises: selecting one or more encoding tools to encode media based on a royalty cost associated with at least one of the one or more encoding tools and a corresponding decoding tool for each of the one or more encoding tools, decoded media quality that each corresponding decoding tool produces, and one or more transmission bandwidth constraints; encoding the media, in accordance with the media content, using the one or more encoding tools; and transmitting encoded data generated by at least one of the one or more encoding tools.

Abstract: A method and apparatus is disclosed herein for reducing at least one of both flicker and noise in video sequences. In one embodiment, the method comprises receiving an input video and performing operations to reduce one or both of noise and flicker in the input video using spatial and temporal processing.