Abstract: A visual dynamic range (VDR) signal and a standard dynamic range (SDR) signal are received. A first (e.g., MPEG-2) encoder encodes a base layer (BL) signal. A second encoder encodes an enhancement layer (EL). The EL signal represents information with which the VDR signal may be reconstructed, e.g., using the BL and the EL signals. The first encoder encodes the SDR signal with inverse discrete cosine transform (IDCT) coefficients that have a fixed precision, e.g., which represent fixed-point approximations of transform coefficients that may have arbitrary precisions. The BL signal is encoded in a stream that conforms with an Advanced Television Standards Committee (ATSC) standard. The EL is encoded in a stream that conforms with an ATSC enhanced vestigial sideband (E-VSB) standard. The BL and EL signals are combined; e.g., multiplexed, and transmitted together.

Abstract: Novel methods and systems for decoding and displaying enhanced dynamic range (EDR) video signals are disclosed. To accommodate legacy digital media players with constrained computational resources, compositing and display management (DM) operations are moved from a digital media player to its attached EDR display. On a video receiver, base and enhancement video layers are decoded and multiplexed together with overlay graphics into an interleaved stream. The video and graphics signals are all converted to a common format which allows metadata to be embedded in the interleaved signal as part of the least significant bits in the chroma channels. On the display, the video and the graphics are de-interleaved. After compositing and display management operations guided by the received metadata, the received graphics data are blended with the output of the DM process and the final video output is displayed on the display's panel.

Abstract: A video transmitter identifies regions in pictures in a compressed three-dimensional (3D) video comprising a base view video and an enhancement view video. The identified regions are not referenced by other pictures in the compressed 3D video. The identified regions are watermarked. Pictures such as a high layer picture in the base view video and the enhancement view video are identified for watermarking. The identified regions in the base view and/or enhancement view videos are watermarked and multiplexed into a transport stream for transmission. An intended video receiver extracts the base view video, the enhancement view video and corresponding watermark data from the received transport stream. The corresponding extracted watermark data are synchronized with the extracted base view video and the extracted enhancement view video, respectively, for watermark insertion. The resulting base view and enhancement view videos are decoded into a left view video and a right view video, respectively.

Abstract: HDR images are coded and distributed. An initial HDR image is received. Processing the received HDR image creates a JPEG-2000 DCI-compliant coded baseline image and an HDR-enhancement image. The coded baseline image has one or more color components, each of which provide enhancement information that allows reconstruction of an instance of the initial HDR image using the baseline image and the HDR-enhancement images. A data packet is computed, which has a first and a second data set. The first data set relates to the baseline image color components, each of which has an application marker that relates to the HDR-enhancement images. The second data set relates to the HDR-enhancement image. The data packets are sent in a DCI-compliant bit stream.

Abstract: A 2D and/or 3D video processing device comprising a camera and a display captures images of a viewer as the viewer observes displayed 2D and/or 3D video content in a viewport. Face and/or eye tracking of viewer images is utilized to generate a different viewport. Current and different viewports may comprise 2D and/or 3D video content from a single source or from different sources. The sources of 2D and/or 3D content may be scrolled, zoomed and/or navigated through for generating the different viewport. Content for the different viewport may be processed. Images of a viewer's positions, angles and/or movements of face, facial expression, eyes and/or physical gestures are captured by the camera and interpreted by face and/or eye tracking. The different viewport may be generated for navigating through 3D content and/or for rotating a 3D object. The 2D and/or 3D video processing device communicates via wire, wireless and/or optical interfaces.

Abstract: Given an input progressive sequence, a video encoder creates a dual-layer stream that combines a backwards-compatible interlaced video stream layer with an enhancement layer to reconstruct full-resolution progressive video. Given two consecutive frames in the input progressive sequence, vertical processing generates a top field-bottom field (TFBF) frame in a base layer (BL) TFBF sequence, and horizontal processing generates a side-by-side (SBS) frame in an enhancement layer (EL) SBS video sequence. The BL TFBF and the EL SBS sequences are compressed together to create a coded, backwards compatible output stream.

Abstract: Systems, methods, and computer-readable storage media that may be used to encode and multiplex video are provided. One method includes receiving uncompressed three-dimensional (3D) video including a left view video and a right view video. The method further includes encoding the left view video and the right view video into a base view video and an enhancement view video. One or more pictures in the base view video that are not used to predict corresponding pictures in the enhancement view video are dropped based on available memory resources. The method further includes generating residual view video by subtracting base view pictures from corresponding enhancement view pictures, and multiplexing the base view video and the generated residual view video into a single transport stream.

Abstract: Coding syntaxes in compliance with same or different VDR specifications may be signaled by upstream coding devices such as VDR encoders to downstream coding devices such as VDR decoders in a common vehicle in the form of RPU data units. VDR coding operations and operational parameters may be specified as sequence level, frame level, or partition level syntax elements in a coding syntax. Syntax elements in a coding syntax may be coded directly in one or more current RPU data units under a current RPU ID, predicted from other partitions/segments/ranges previously sent with the same current RPU ID, or predicted from other frame level or sequence level syntax elements previously sent with a previous RPU ID. A downstream device may perform decoding operations on multi-layered input image data based on received coding syntaxes to construct VDR images.

Abstract: HDR images are coded and distributed. An initial HDR image is received. Processing the received HDR image creates a JPEG-2000 DCI-compliant coded baseline image and an HDR-enhancement image. The coded baseline image has one or more color components, each of which provide enhancement information that allows reconstruction of an instance of the initial HDR image using the baseline image and the HDR-enhancement images. A data packet is computed, which has a first and a second data set. The first data set relates to the baseline image color components, each of which has an application marker that relates to the HDR-enhancement images. The second data set relates to the HDR-enhancement image. The data packets are sent in a DCI-compliant bit stream.

Abstract: Inter-color image prediction is based on multi-channel multiple regression (MMR) models. Image prediction is applied to the efficient coding of images and video signals of high dynamic range. MMR models may include first order parameters, second order parameters, and crosspixel parameters. MMR models using extension parameters incorporating neighbor pixel relations are also presented. Using minimum means-square error criteria, closed form solutions for the prediction parameters are presented for a variety of MMR models.

Abstract: Inter-color image prediction is based on color grading modeling. Prediction is applied to the efficient coding of images and video signals of high dynamic range. Prediction models may include a color transformation matrix that models hue and saturation color changes and a non-linear function modeling color correction changes. Under the assumption that the color grading process uses a slope, offset, and power (SOP) operations, an example non linear prediction model is presented.

Abstract: Presented herein are system(s), method(s), and apparatus for providing high resolution frames. In one embodiment, there is a method comprising receiving upscaled frames; motion estimating the upscaled frames; and motion compensating the upscaled frames.

Abstract: Inter-color image prediction is based on multi-channel multiple regression (MMR) models. Image prediction is applied to the efficient coding of images and video signals of high dynamic range. MMR models may include first order parameters, second order parameters, and cross-pixel parameters. MMR models using extension parameters incorporating neighbor pixel relations are also presented. Using minimum means-square error criteria, closed form solutions for the prediction parameters are presented for a variety of MMR models.

Abstract: A video receiver receives a compound transport stream (TS) comprising 3D program video streams and spliced advertising streams. The received one or more 3D program video streams are extracted and decoded. Targeted advertising streams are extracted from the received advertising streams according to user criteria. Targeted advertising graphic objects of the extracted or replaced targeted advertising streams are spliced into the decoded 3D program video streams. The decoded 3D program video with the spliced targeted advertising graphic objects is presented in a 2D video. The extracted or replaced targeted advertising streams are processed to generate the targeted advertising graphic objects to be spliced based on focal point of view. The generated targeted advertising graphic objects are located according to associated scene graph information. The decoded 3D program video streams and the spliced targeted advertising graphic objects are converted into a 2D video for display.

Abstract: Inter-color image prediction is based on color grading modeling. Prediction is applied to the efficient coding of images and video signals of high dynamic range. Prediction models may include a color transformation matrix that models hue and saturation color changes and a non-linear function modeling color correction changes. Under the assumption that the color grading process uses a slope, offset, and power (SOP) operations, an example non linear prediction model is presented.

Abstract: A 2D and/or 3D video processing device comprising a camera and a display captures images of a viewer as the viewer observes displayed 2D and/or 3D video content in a viewport. Face and/or eye tracking of viewer images is utilized to generate a different viewport. Current and different viewports may comprise 2D and/or 3D video content from a single source or from different sources. The sources of 2D and/or 3D content may be scrolled, zoomed and/or navigated through for generating the different viewport. Content for the different viewport may be processed. Images of a viewer's positions, angles and/or movements of face, facial expression, eyes and/or physical gestures are captured by the camera and interpreted by face and/or eye tracking. The different viewport may be generated for navigating through 3D content and/or for rotating a 3D object. The 2D and/or 3D video processing device communicates via wire, wireless and/or optical interfaces.

Abstract: An image processing method for frame rate conversion, comprising: receiving a stream of input pictures at an input frame rate, at least some of the input pictures being new pictures, the new pictures appearing within the stream of input pictures at an underlying new picture rate; generating interpolated pictures from certain ones of the input pictures; outputting a stream of output pictures at an output frame rate, the stream of output pictures including a blend of the new pictures and the interpolated pictures, the interpolated pictures appearing in the stream of output pictures at an average interpolated picture rate; and causing a variation in the average interpolated picture rate in response to detection of a variation in the underlying new picture rate.

Abstract: Inter-color image prediction is based on color grading modeling. Prediction is applied to the efficient coding of images and video signals of high dynamic range. Prediction models may include a color transformation matrix that models hue and saturation color changes and a non-linear function modeling color correction changes. Under the assumption that the color grading process uses a slope, offset, and power (SOP) operations, an example non linear prediction model is presented.

Abstract: A video processing system receives left and right 3D video and/or graphics frames and generates noise reduced left 3D video, right 3D video and/or graphics frames based on parallax compensated left and right frames. Displacement of imagery and/or pixel structures is determined relative to opposite side left and/or right frames. Parallax vectors are determined for parallax compensated left 3D video, right 3D video and/or graphics frames. A search area for displacement may be bounded by parallax limitations. Left 3D frames may be blended with the parallax compensated right 3D frames. Right 3D frames may be blended with the parallax compensated left 3D frames. The left 3D video, right 3D video and/or graphics frames comprise images that are captured, representative of and/or are displayed at a same time instant or at different time instants. Motion estimation, motion adaptation and/or motion compensation techniques may be utilized with parallax techniques.

Abstract: Compression transforming video into a compressed representation (which typically can be delivered at a capped pixel rate compatible with conventional video systems), including by generating spatially blended pixels and temporally blended pixels (e.g., temporally and spatially blended pixels) of the video, and determining a subset of the blended pixels for inclusion in the compressed representation including by assessing quality of reconstructed video determined from candidate sets of the blended pixels. Trade-offs may be made between temporal resolution and spatial resolution of regions of reconstructed video determined by the compressed representation to optimize perceived video quality while reducing the data rate. The compressed data may be packed into frames. A reconstruction method generates video from a compressed representation using metadata indicative of at least one reconstruction parameter for spatial regions of the reconstructed video.