Cisco Technology, Inc.

Samsung Display Co., Ltd.

Patent Capital Group

Georgia Tech Research Corporation

Dihong Tian

Wen-hsiung Chen

Joseph T Friel

J William Mauchly

Pi Sheng Chang

Junlin Li

Ghassan AlRegib

Maurice J Buttimer

John Albert Toebes

Ning Lu

Andrew P Weir

Wing-Kuen Chung

Qing Chen

Nermin M Ismail

Dave M Singhal

David J Mackie

Michael A Arnao

Alan J MacDonald

Yian Xu

Wen-Hsiung Chen

Dau Do

Brandon Gulrich

William Mauchly

Nermin Ismail

William J Mauchly

A method of compensating for image compression errors is presented. The method comprises: receiving an image frame Fduring a frame period n, where n is a natural number; adding a compensation frame Cto the image frame Fto generate a compensated frame E; compressing the compensated frame Eto generate a compressed frame CE; decompressing the compressed frame CEto generate a decompressed frame D; and subtracting the decompressed frame Dfrom the compensated frame Eto generate a next compensation frame C.

System and method of compensating for image compression errors

A method for compensating pixel luminance of a display panel which includes receiving pixel parameters corresponding to sub-pixels of the display panel, receiving an input image, adjusting the input image according to the pixel parameters, and displaying the adjusted input image at the display panel. The pixel parameters include a first pixel parameter of a base luminance level of a base color channel, a first residual determined from performing inter-channel prediction, a second residual determined from performing inter-level prediction, and parameters used in the performing of the inter-level prediction.

Hierarchical prediction for pixel parameter compression

A method is provided in one example embodiment that includes generating a depth map that corresponds to a video image and filtering the depth map with the video image to create a filtered depth map. The video image can be filtered with the filtered depth map to create an image. In one example implementation, the video image is filtered using extended depth-guided filtering that is incorporated into a video encoding-decoding loop.

System and method for depth-guided filtering in a video conference environment

A controller controls a camera that produces a sequence of images and that has output coupled to a video encoder. The camera has an operating condition including a field of view and lighting, and one or more imaging parameters. The video encoder encodes images from the camera into codewords. The controller receives one or more encoding properties from the video encoder, and causes adjusting one or more of the imaging parameters based on at least one of the received encoding properties, such that the camera produces additional images of the sequence of images for the video encoder using the adjusted one or more imaging parameters.

Encoder-supervised imaging for video cameras

A method for compressing an image including one or more blocks, each of the one or more blocks including an x channel, a y channel, and a z channel, the method including, for each of the one or more blocks: performing a frequency domain transform, by a processor, on each of the x, y, and z channels; ordering, by the processor, the transformed x, y, and z channels into first, second, and third transformed channels; performing an inter-channel transform in accordance with the order of the first transformed channel, the second transformed channel, and the third transformed channel; and encoding the inter-channel transformed channels.

Adaptive inter-channel transform for wavelet color image compression

Techniques are provided for establishing a videoconference session between participants at different endpoints, where each endpoint includes at least one computing device and one or more displays. A plurality of video streams is received at an endpoint, and each video stream is classified as at least one of a people view and a data view. The classified views are analyzed to determine one or more regions of interest for each of the classified views, where at least one region of interest has a size smaller than a size of the classified view. Synthesized views of at least some of the video streams are generated, wherein the synthesized views include at least one view including a region of interest, and views including the synthesized views are rendered at one or more displays of an endpoint device.

Generating and rendering synthesized views with multiple video streams in telepresence video conference sessions

A coding method, apparatus, and medium with software encoded thereon to implement a coding method. The coding method includes encoding the position of non-zero-valued coefficients in an ordered series of quantized transform coefficients of a block of image data, including encoding events using variable length coding using a plurality of variable length code mappings that each maps events to codewords, the position encoding including switching between the code mappings based on the context. The coding method further includes encoding amplitudes of the non-zero-valued coefficients using variable dimensional amplitude coding in the reverse order of the original ordering of the series.

Context adaptive position and amplitude coding of coefficients for video

Video content is received at a computing device including camera views provided by video cameras that are aligned to capture images of participants within a defined space. The video cameras are aligned such that a field of view (FOV) for each camera overlaps a portion of the FOV of at least one other adjacent camera. Positions of participants depicted within the video content are detected, where target views are generated to combine as a continuous view of the video content that includes the plurality of detected participants. The target views are displayed at display devices.

Utilizing a smart camera system for immersive telepresence

A processing system can include an encoder to encode a real-time transmission of a presentation. A memory buffer can copy and store images of the presentation and convert the images into snapshot images. A transmitter can transmit the snapshot images to an external annotation device, and a receiver can receive annotation data of an annotation performed on the snapshot images at the external annotation device. The annotation can be encoded, in accordance with the annotation data, into the real-time transmission of the presentation to display the real-time transmission with the annotation.

Annotating a presentation in a telepresence meeting

A method is provided in one example and includes receiving image data for a field of view associated with a display. The image data is used to generate a plurality of red green blue (RGB) frames. The method also includes emitting infrared energy onto the field of view in order to generate a plurality of infrared frames, the plurality of RGB frames and the plurality of infrared frames are generated by a single camera. The plurality of RGB frames can be combined with the plurality of infrared frames in order to generate a video data stream. In a more particular embodiment, the emitting of the infrared energy is synchronized with the camera such that the infrared energy is emitted onto the field of view at one half of an existing frame rate of the camera.

System and method for enhancing video images in a conferencing environment

Techniques are provided for image-based real-time gesture recognition. Video data of a person is obtained. Pixels are classified in the video stream at a given time instance during a time period as a foreground or a background pixel. A data entry is generated comprising data indicating foreground history values for each of a plurality of time instances of the video stream and data indicating a time period value. When the classifying indicates that a first pixel is a foreground pixel, the data structure associated with the first pixel is evaluated to determine whether or not to update a foreground history value associated with the first pixel at the given time instance. A motion gradient vector is generated for the video stream based on the foreground history value associated with the first pixel and foreground history values associated with other pixels.

Image-based real-time gesture recognition

Video content is received at a computing device that camera views provided by video cameras that are aligned to capture images of participants within a defined space. Each camera view is at a first resolution and the video cameras are aligned such that a field of view (FOV) for each camera overlaps a portion of the FOV of at least one other adjacent camera. Positions of participants depicted within the video content are detected, where at least one participant is captured by overlapping FOVs of two adjacent camera views. A target view is generated from the first number of camera views, the target view having a second resolution that is lower than the first resolution, and the target view includes a view of the at least one participant captured within the overlapping FOVs of two adjacent camera views. The target view is displayed at a display device.

A method is provided in one example embodiment and includes receiving a camera dynamic parameter; determining a reference transform parameter based on the camera dynamic parameter; applying the reference transform parameter to generate a video image; and encoding the reference transform parameter in a bitstream for transmission with the video image. In other more specific instances, the method may include decoding a particular video image; decoding a particular reference transform parameter; and applying a particular reference transform parameter to the particular video image. The entropy-decoded data can undergo inverse quantization and transformation such that reference transformed data is combined with the entropy-decoded data. Additionally, the entropy-decoded data can be subjected to filtering before decoded video images are rendered on a display.

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Dihong Tian