Abstract: Examples described herein relate to automatic identification and transformation of a color region. A user can identify a region of a video frame or image that corresponds to a color region that is to be segmented. A color region can include one or more colors that appear to be approximately a uniform color. For one or more video frames, gamma correction can be applied to frames of the video. One or more frames of a video can be mapped to two color spaces. For each pixel in an image, a determination is made if the pixel has the same color as that of the identified region based on each of the at least two color spaces identifying the pixel as the color. The color region can be identified throughout a video and transformed to another color to aid in video editing.

Abstract: A method for generating an augmented reality image from first and second images, wherein at least a portion of at least one of the first and the second image is captured from a real scene, identifies a confidence region in which a confident determination as to which of the first and second image to render in that region of the augmented reality image can be made, and identifies an uncertainty region in which it is uncertain as to which of the first and second image to render in that region of the augmented reality image. At least one blending factor value in the uncertainty region is determined based upon a similarity between a first colour value in the uncertainty region and a second colour value in the confidence region, and an augmented reality image is generated by combining, in the uncertainty region, the first and second images using the at least one blending factor value.

Abstract: A method of color mapping a video signal represented in a first color volume from color mapping data to be applied on a video signal represented in a second color volume is disclosed. The method comprises: color mapping (14) said video signal represented in a first color volume from said first color volume into said second color volume in the case where said first and second color volumes are different; and color mapping (16) said color mapped video signal based on said color mapping data.

Abstract: A method of color mapping a video signal represented in a first color volume from color mapping data to be applied on a video signal represented in a second color volume is disclosed. The method comprises: color mapping (14) said video signal represented in a first color volume from said first color volume into said second color volume in the case where said first and second color volumes are different; and color mapping (16) said color mapped video signal based on said color mapping data.

Abstract: When encoding an array of quantized frequency domain coefficients for the chrominance data values for a block of data elements being encoded, it is determined whether the encoding of the frequency domain coefficients for the luminance data for the block being considered was indicated as to be omitted. If so, it is then determined whether the non-zero coefficients in the array of quantized chrominance data value frequency domain coefficients for the block are few in number and/or small in size. If the number and/or size of the non-zero quantized chrominance value frequency domain coefficients is determined to be sufficiently few and/or small, then the encoding of the quantized frequency domain coefficients for the chrominance data for the block is omitted.

Abstract: A video capture device may include multiple cameras that simultaneously capture video data. The video capture device and/or one or more remote computing resources may stitch the video data captured by the multiple cameras to generate stitched video data that corresponds to 360° video. The remote computing resources may apply one or more algorithms to the stitched video data to adjust the color characteristics of the stitched video data, such as lighting, exposure, white balance contrast, and saturation. The remote computing resources may further smooth the transition between the video data captured by the multiple cameras to reduce artifacts such as abrupt changes in color as a result of the individual cameras of the video capture device having different video capture settings. The video capture device and/or the remote computing resources may generate a panoramic video that may include up to a 360° field of view.

Abstract: Techniques related to content adaptive bi-directional or functionally predictive multi-pass pictures for high efficiency next generation video coding.

Abstract: Embodiments of the present disclosure provide systems and methods for background concealment in a video conferencing session. In one exemplary method, a video stream may be captured and provided to a first terminal participating in a video chat session. A background element and a foreground element may be determined in the video stream. A border region may additionally be determined in the video stream. The border region may define a boundary between the foreground element and the background element. The background region may be modified based, at least in part, on video content of the border region. The modified video stream may be transmitted to a second terminal participating in the video conferencing session.

Abstract: A display system combines a graphic plane and a video overlay plane using color keys in the graphics plane. By time-averaging patterns of color keys in successive frames of the graphics plane, individual pixels of the graphics plane can be made to appear partially transparent. Using this technique, regions in the graphics plane (e.g., a menu) can be partially transparent with respect to the video overlay, and aliasing can be reduced by making selected pixels in the graphics plane partially transparent.