Abstract: Some embodiments are directed to an integrated circuit and computer-implemented method for estimating a depth map from an image using a joint bilateral filter at reduced computational complexity. For that purpose, image data of an image is accessed as well as depth data of a template depth map. A joint bilateral filter is then applied to the template depth map using the image data as a range term in the joint bilateral filter, thereby obtaining an image-adapted depth map as output. The applying of the joint bilateral filter includes initializing a sum-of-weighted-depths volume and a sum-of-weights volume as respective empty data structures in a memory, performing a splatting operation to fill said volumes, performing a slicing operation to obtain an image-adapted depth volume, and performing an interpolation operation to obtain an image-adapted depth value of the image-adapted depth map for each pixel in the image.

Abstract: Some embodiments are directed to an integrated circuit and computer-implemented method for estimating a depth map from an image using a joint bilateral filter at reduced computational complexity. For that purpose, image data of an image is accessed as well as depth data of a template depth map. A joint bilateral filter is then applied to the template depth map using the image data as a range term in the joint bilateral filter, thereby obtaining an image-adapted depth map as output. The applying of the joint bilateral filter includes initializing a sum-of-weighted-depths volume and a sum-of-weights volume as respective empty data structures in a memory, performing a splatting operation to fill said volumes, performing a slicing operation to obtain an image-adapted depth volume, and performing an interpolation operation to obtain an image-adapted depth value of the image-adapted depth map for each pixel in the image.

Abstract: A system-on-chip is provided which is configured for real-time depth estimation of video data. The system-on-chip includes a monoscopic depth estimator configured to perform monoscopic depth estimation from monoscopic-type video data, and a stereoscopic depth estimator configured to perform stereoscopic depth estimation from stereoscopic-type video data. The system-on-chip is reconfigurable to perform either the monoscopic depth estimation or the stereoscopic depth estimation on the basis of configuration data defining a selected depth estimation mode. Both depth estimators include shared circuits which are instantiated in hardware and reconfigurable to account for differences in the functionality of the circuit in each depth estimator.

Abstract: A device for motion estimation in video image data is provided. The device comprises a motion estimation unit (11, 21) for estimating a current motion vector for an area of a current image by determining a set of temporal and/or spatial candidate motion vectors and selecting a best motion vector from the set of candidate motion vectors. The motion estimation unit (11, 21) is further adapted for substantially doubling one or more of the candidate motion vectors and for including the one or more substantially doubled candidate motion vectors in the set of candidate motion vectors.

Abstract: A system-on-chip is provided which is configured for real-time depth estimation of video data. The system-on-chip includes a monoscopic depth estimator configured to perform monoscopic depth estimation from monoscopic-type video data, and a stereoscopic depth estimator configured to perform stereoscopic depth estimation from stereoscopic-type video data. The system-on-chip is reconfigurable to perform either the monoscopic depth estimation or the stereoscopic depth estimation on the basis of configuration data defining a selected depth estimation mode. Both depth estimators include shared circuits which are instantiated in hardware and reconfigurable to account for differences in the functionality of the circuit in each depth estimator.

Abstract: Mobile display device 100 for enabling a user to obtain either three-dimensional [3D] or two-dimensional [2D] viewing of content, comprising a 3D display 120 for enabling the 3D viewing of the content, a 2D display 140 for enabling the 2D viewing of the content, a display processor for displaying the content as 3D content 124 on the 3D display and for displaying the content as 2D content 144 on the 2D display, the 3D display and the 2D display being arranged on opposite faces 122, 142 of the device for enabling the user to obtain either the 3D viewing or the 2D viewing of the content by turning 102 the device about-face.

Abstract: A device for motion estimation in video image data is provided. The device comprises a motion estimation unit (11, 21) for estimating a current motion vector for an area of a current image by determining a set of temporal and/or spatial candidate motion vectors and selecting a best motion vector from the set of candidate motion vectors. The motion estimation unit (11, 21) is further adapted for substantially doubling one or more of the candidate motion vectors and for including the one or more substantially doubled candidate motion vectors in the set of candidate motion vectors.

Abstract: Mobile display device 100 for enabling a user to obtain either three-dimensional [3D] or two-dimensional [2D] viewing of content, comprising a 3D display 120 for enabling the 3D viewing of the content, a 2D display 140 for enabling the 2D viewing of the content, a display processor for displaying the content as 3D content 124 on the 3D display and for displaying the content as 2D content 144 on the 2D display, the 3D display and the 2D display being arranged on opposite faces 122, 142 of the device for enabling the user to obtain either the 3D viewing or the 2D viewing of the content by turning 102 the device about-face.

Abstract: A device for motion estimation in video image data is provided. The device comprises a motion estimation unit (11, 21) for estimating a current motion vector for an area of a current image by determining a set of temporal and/or spatial candidate motion vectors and selecting a best motion vector from the set of candidate motion vectors. The motion estimation unit (11, 21) is further adapted for substantially doubling one or more of the candidate motion vectors and for including the one or more substantially doubled candidate motion vectors in the set of candidate motion vectors.

Abstract: Mobile display device (100) for enabling a user to obtain either three-dimensional [3D] or two-dimensional [2D] viewing of content, comprising a 3D display (120) for enabling the 3D viewing of the content, a 2D display (140) for enabling the 2D viewing of the content, a display processor for displaying the content as 3D content 124 on the 3D display and for displaying the content as 2D content (144) on the 2D display, the 3D display and the 2D display being arranged on opposite faces (122, 142) of the device for enabling the user to obtain either the 3D viewing or the 2D viewing of the content by turning (102) the device about-face.

Abstract: A device for motion estimation in video image data is provided. The device comprises a motion estimation unit (11, 21) for estimating a current motion vector for an area of a current image by determining a set of temporal and/or spatial candidate motion vectors and selecting a best motion vector from the set of candidate motion vectors. The motion estimation unit (11, 21) is further adapted for substantially doubling one or more of the candidate motion vectors and for including the one or more substantially doubled candidate motion vectors in the set of candidate motion vectors.

Abstract: A device for motion estimation in video image data is provided. The device comprises a motion estimation unit (11, 21) for estimating a current motion vector for an area of a current image by determining a set of temporal and/or spatial candidate motion vectors and selecting a best motion vector from the set of candidate motion vectors. The motion estimation unit (11, 21) is further adapted for substantially doubling one or more of the candidate motion vectors and for including the one or more substantially doubled candidate motion vectors in the set of candidate motion vectors.

Abstract: Mobile display device (100) for enabling a user to obtain either three-dimensional [3D] or two-dimensional [2] viewing of content, comprising a 3D display (120) for enabling the 3D viewing of the content, a 2D display (140) for enabling the 2D viewing of the content, a display processor for displaying the content as 3D content 124 on the 3D display and for displaying the content as 2D content (144) on the 2D display, the 3D display and the 2D display being arranged on opposite faces (122, 142) of the device for enabling the user to obtain either the 3D viewing or the 2D viewing of the content by turning (102) the device about-face.

Abstract: A method of processing video signals containing multiple images. The method comprises dividing a first image into regions and associating a first plurality of regions of the first image with a first image layer and a second plurality of regions of the first image with a second image layer. Motion estimation is performed on pixel values that are derived from pixel values associated with the first image layer, substantially in isolation from pixel values associated with the second image layer, to generate a first motion vector field, and the first motion vector field is used to perform motion-compensated processing on pixel values that are derived from pixel values associated with the first image layer. The result of the motion-compensated processing is combined with pixel values that are derived from pixel values associated with the second image layer to generate an output image.

Abstract: A cache management policy is provided, comprising a method for writing back to a memory (104) a data element set (122) stored in a cache (110). The method reduces the time some items stay in the cache, and thereby improves the utilization of the cache for some applications, especially for video applications. The method comprises determining that each one of the multiple data elements has been updated through at least one write request; marking the data element set as a write-back candidate, in dependency on said determination; and writing the write-back candidate to the memory.

Abstract: A technique for frame rate conversion that utilizes motion estimation and motion compensated temporal interpolation includes obtaining a first image and a second image, where the first and second images correspond to different instances in time, compressing the second image using multiple motion vectors that result from motion estimation between the first image and the second image to generate a compressed image, and generating an interpolated image using the compressed image.

Abstract: A method of up-scaling a first structure of samples representing a first property, the first structure having a source resolution, into a second structure of samples representing the first property, the second structure having a target resolution, on basis of a third structure of samples representing a second property, the third structure having the source resolution and on basis of a fourth structure of samples representing the second property, the fourth structure of samples having the target resolution, the method comprising: assigning weight factors to respective first samples of the first structure of samples on basis of differences between respective third samples of the third structure of samples and fourth samples of the fourth structure of samples; and computing the second samples of the second structure of samples on basis of the first samples of the first structure of samples and the respective weight factors.

Abstract: Various exemplary embodiments relate to a method and related motion estimation unit for performing motion estimation on video data comprising a plurality of frames. The method may begin by reading a current frame of the plurality of frames from a memory of a motion estimation unit. The method may then select a motion vector for each respective block of pixels in a current row of the current frame. The step of selecting the motion vector may include, for each respective block, selecting, by the motion estimation unit, a candidate vector for at least one block directly surrounding the respective block based on a determination of whether the directly surrounding block has been processed for the current frame, calculating, for each candidate vector, a difference value, and selecting, as the motion vector, the candidate vector with the lowest difference value.

Abstract: The invention relates to a method for encoding/decoding a video stream including a plurality of images (A, B, C) in a video processing apparatus having a processing unit (11) coupled to a first memory (12), further comprising a second memory (13), comprising the steps: providing a subset of image data stored in the second memory (13) in the first memory (12), —simultaneous encoding/decoding of more than one image (B, C) of the video stream, by accessing said subset, wherein the simultaneously encoding/decoding is performed by access sharing to at least one image (A).

Abstract: A method of processing video signals containing multiple images. The method comprises dividing a first image into regions and associating a first plurality of regions of the first image with a first image layer and a second plurality of regions of the first image with a second image layer. Motion estimation is performed on pixel values that are derived from pixel values associated with the first image layer, substantially in isolation from pixel values associated with the second image layer, to generate a first motion vector field, and the first motion vector field is used to perform motion-compensated processing on pixel values that are derived from pixel values associated with the first image layer. The result of the motion-compensated processing is combined with pixel values that are derived from pixel values associated with the second image layer to generate an output image.