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: 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: Stereoscopic video data and corresponding depth map data for stereoscopic and auto-stereoscopic displays are coded using a coded base layer and one or more coded enhancement layers. Given a 3D input picture and corresponding input depth map data, a side-by-side and a top-and-bottom picture are generated based on the input picture. Using an encoder, the side-by-side picture is coded to generate a coded base layer Using the encoder and a texture reference processing unit (RPU), the top-and-bottom picture is encoded to generate a first enhancement layer, wherein the first enhancement layer is coded based on the base layer stream, and using the encoder and a depth-map RPU, depth data for the side-by-side picture are encoded to generate a second enhancement layer, wherein the second enhancement layer is coded based on to the base layer. Alternative single, dual, and multi-layer depth map delivery systems are also presented.

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: 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 3D display is characterized by a quality of viewing experience (QVE) mapping which represents a display-specific input-output relationship between input depth values and output QVE values. Examples of QVE mappings based on a metric of “viewing blur” are presented. Given reference depth data generated for a reference display and a representation of an artist's mapping function, which represents an input-output relationship between original input depth data and QVE data generated using a QVE mapping for a reference display, a decoder may reconstruct the reference depth data and apply an inverse QVE mapping for a target display to generate output depth data optimized for the target display.

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 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: 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: 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: 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: 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.

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: 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 transmitter compresses an uncompressed 3D video into a base view video and an enhancement view video using MPEG-4 MVC standard. The video transmitter allocates bits to compressed pictures of the uncompressed 3D video based on corresponding picture type. More bits are allocated to I-pictures than P-pictures, and more bits are allocated to P-pictures than B-pictures in a given coding view. More bits are allocated to a compressed picture of the base view video than a same type compressed picture of the enhancement view video. The correlation level between the base view video and the enhancement view video is utilized for bit-allocation in video compression. More bits are allocated to a picture in a lower coding layer than to the same type picture in a higher coding layer in a given coding view. Pictures with the same cording order are identified from different view videos for a joint bit-allocation.

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: A 3D display is characterized by a quality of viewing experience (QVE) mapping which represents a display-specific input-output relationship between input depth values and output QVE values. Examples of QVE mappings based on a metric of “viewing blur” are presented. Given reference depth data generated for a reference display and a representation of an artist's mapping function, which represents an input-output relationship between original input depth data and QVE data generated using a QVE mapping for a reference display, a decoder may reconstruct the reference depth data and apply an inverse QVE mapping for a target display to generate output depth data optimized for the target display.

Abstract: A video processing device may generate a two dimensional (2D) output video stream from a three dimensional (3D) input video stream that comprises a plurality of view sequences. The plurality of view sequences may comprise sequences of stereoscopic left and right reference fields or frames. A view sequence may initially be selected as a base sequence for the 2D output video stream, and the 2D output video stream may be enhanced using video content and/or information from unselected view sequences. The video content and/or information utilized in enhancing the 2D output video stream may comprise depth information, and/or foreground and/or background information. The enhancement of the 2D input video stream may comprise improving depth, contrast, sharpness, and/or rate upconversion using frame and/or field based interpolation of images in the 2D output video stream.

Abstract: An interleaved multi-view video stream is received. The interleaved multi-view video stream includes one or more first view frames, one or more second view frames, and blanking frames in a sequential pattern. The blanking frames separate the first view frames from the second view frames in the sequential pattern. The interleaved multi-view video stream is displayed in the sequential pattern. In one embodiment, the blanking frames are detected, and operation of a viewing device is synchronized based at least in part on the blanking frames being detected.

Abstract: Stereoscopic video data and corresponding depth map data for stereoscopic and auto-stereoscopic displays are coded using a coded base layer and one or more coded enhancement layers. Given a 3D input picture and corresponding input depth map data, a side-by-side and a top-and-bottom picture are generated based on the input picture. Using an encoder, the side-by-side picture is coded to generate a coded base layer Using the encoder and a texture reference processing unit (RPU), the top-and-bottom picture is encoded to generate a first enhancement layer, wherein the first enhancement layer is coded based on the base layer stream, and using the encoder and a depth-map RPU, depth data for the side-by-side picture are encoded to generate a second enhancement layer, wherein the second enhancement layer is coded based on to the base layer. Alternative single, dual, and multi-layer depth map delivery systems are also presented.