Abstract: A method performed by an electronic device is described. The method includes obtaining a motion vector map based on at least two images. The motion vector map has fewer motion vectors than a number of pixels in each of the at least two images. The method also includes obtaining a feature point from one of the at least two images. The method further includes performing a matching operation between a template associated with the feature point and at least one search space based on the motion vector map. The method additionally includes determining a motion vector corresponding to the feature point based on the matching operation.

Abstract: A method performed by an electronic device is described. The method includes generating a depth map of a scene external to a vehicle. The method also includes performing first processing in a first direction of a depth map to determine a first non-obstacle estimation of the scene. The method also includes performing second processing in a second direction of the depth map to determine a second non-obstacle estimation of the scene. The method further includes combining the first non-obstacle estimation and the second non-obstacle estimation to determine a non-obstacle map of the scene. The combining includes combining comprises selectively using a first reliability map of the first processing and/or a second reliability map of the second processing The method additionally includes navigating the vehicle using the non-obstacle map.

Abstract: A method performed by an electronic device is described. The method includes performing vertical processing of a depth map to determine a vertical non-obstacle estimation. The method also includes performing horizontal processing of the depth map to determine a horizontal non-obstacle estimation. The method further includes combining the vertical non-obstacle estimation and the horizontal non-obstacle estimation. The method additionally includes generating a non-obstacle map based on the combination of the vertical and horizontal non-obstacle estimations.

Abstract: This disclosure describes methods and apparatus for decoding data. In one aspect, the method comprises decoding encoded video data to obtain decoded video frame data, the encoded video data comprising encoded video frame data encoded at a first frame rate and embedded data. The method further comprises determining a camera parameter from the embedded data and up-converting the decoded video frame data to a second frame rate based on the camera parameter. The determined camera parameter may be, for example, a parameter associated with one or more of a zoom factor, an auto focus status, lens position information, frame luma information, an auto exposure (AE) convergence status, an automatic white balance (AWB) convergence status, global motion information, and frame blurriness information, and the like. An encoding device may embed the camera parameter(s) in an encoded video bit stream for a decoder to utilize during frame rate up-conversion.

Abstract: A method performed by an electronic device is described. The method includes performing vertical processing of a depth map to determine a vertical non-obstacle estimation. The method also includes performing horizontal processing of the depth map to determine a horizontal non-obstacle estimation. The method further includes combining the vertical non-obstacle estimation and the horizontal non-obstacle estimation. The method additionally includes generating a non-obstacle map based on the combination of the vertical and horizontal non-obstacle estimations.

Abstract: A system and method for correcting artifacts present in video frames is disclosed. The system includes a decision module (110) and an artifact correction unit (120). The system receives artifact metrics (112) and artifact maps (122) corresponding to artifacts present in video frames and prioritizes the video frames to be corrected by considering the type and severity of the artifacts and the content of the video frames (113). Subsequent to prioritizing the video frames, the system corrects artifacts of selected frames by adjusting compressed domain parameters (126), such as quantization parameters and mode decisions. An encoder (130) compresses the video frames according to the adjusted compressed domain parameter to automatically provide a video stream with a lower incidence and severity of artifacts.

Abstract: A method performed by an electronic device is described. The method includes generating a plurality of bounding regions based on an image. The method also includes determining a subset of the plurality of bounding regions based on at least one criterion and a selected area in the image. The method further includes processing the image based on the subset of the plurality of bounding regions.

Abstract: In one example, a method includes identifying a pixel in an image frame that is a candidate for causing crosstalk between the image frame and a corresponding image frame in a multiview image system. The method further includes, for a pixel identified as a candidate for causing crosstalk, applying crosstalk correction to the pixel. The method further includes applying a location-based adjustment to the pixel, wherein the location-based adjustment is based at least in part on which of two or more portions of the image frame the pixel is in.

Abstract: The disclosure is directed to techniques for encoder-assisted adaptive interpolation of video frames. According to the disclosed techniques, an encoder generates information to assist a decoder in interpolation of a skipped video frame, i.e., an S frame. The information permits the decoder to reduce visual artifacts in the interpolated frame and thereby achieve improved visual quality. The information may include interpolation equation labels that identify selected interpolation equations to be used by the decoder for individual video blocks. As an option, to conserve bandwidth, the equation labels may be transmitted for only selected video blocks that meet a criterion for encoder-assisted interpolation. Other video blocks without equation labels may be interpolated according to a default interpolation technique.

Abstract: A method performed by an electronic device is described. The method includes generating a plurality of bounding regions based on an image. The method also includes determining a subset of the plurality of bounding regions based on at least one criterion and a selected area in the image. The method further includes processing the image based on the subset of the plurality of bounding regions.

Abstract: This disclosure describes selection of reference video units to be used for interpolation or extrapolation of a video unit, such as a video frame. A decoder may apply a quality-focused mode to select a reference frame based on quality criteria. The quality criteria may indicate a level of quality likely to be produced by a reference frame. If no reference frames satisfy the quality criteria, interpolation or extrapolation may be disabled. Display of an interpolated or extrapolated frame may be selectively enabled based on a quality analysis. A decoder may apply a resource-focused frame interpolation mode to enable or disable frame interpolation or extrapolation for some frames based on power and quality considerations. In one mode, frame interpolation may be disabled to conserve power when reference frames are not likely to produce satisfactory quality. In another mode, the threshold may be adjustable as a function of power saving requirements.

Abstract: This disclosure describes methods and apparatus for decoding data. In one aspect, the method comprises decoding encoded video data to obtain decoded video frame data, the encoded video data comprising encoded video frame data encoded at a first frame rate and embedded data. The method further comprises determining a camera parameter from the embedded data and up-converting the decoded video frame data to a second frame rate based on the camera parameter. The determined camera parameter may be, for example, a parameter associated with one or more of a zoom factor, an auto focus status, lens position information, frame luma information, an auto exposure (AE) convergence status, an automatic white balance (AWB) convergence status, global motion information, and frame blurriness information, and the like. An encoding device may embed the camera parameter(s) in an encoded video bit stream for a decoder to utilize during frame rate up-conversion.

Abstract: There are provided methods and apparatus for enhanced performance in a multi-pass video encoder. An apparatus includes a video encoder for encoding a video bitstream. The apparatus further includes a video quality analyzer, in signal communication with the encoder, for performing a video quality analysis of the video bitstream for a given encoding pass to detect encoder compression artifacts in the video bitstream, and providing to the encoder information relating to the encoder compression artifacts to enable a re-encoding setup of the encoder to reduce an occurrence of the encoder compression artifacts in subsequent re-encoding passes. At least one of the video quality analysis and the re-encoding setup are automated.

Abstract: This disclosure describes techniques for obtaining one or more video capture parameters associated with a video capture device and using the obtained video capture parameters to control a video decoding process. The obtained video capture parameters may be, for example, parameters associated with auto exposure control (AE), auto focus (AF), and auto white balance (AWB), zooming, motion in captured frames, and the like. The video encoding device may embed the video capture parameters in the encoded video bit stream such that a decoder may utilize the camera parameters during frame rate up-conversion.

Abstract: In one example, a method includes identifying a first set of pixels in co-located pairs in a corresponding pair of multiview image frames for which the co-located pairs have a disparity between the pixels that is greater than a selected disparity threshold. The method further includes identifying a second set of pixels in at least one of the image frames that are within a selected distance of an intensity transition greater than a selected intensity transition threshold. The method further includes applying crosstalk correction to pixels that are identified as being in at least one of the first set and the second set.

Abstract: Systems and methods to process motion vectors of video data are disclosed. According to an embodiment, an intra-block in a video frame of the video data is identified. At least a first set and a second set of inter-blocks that neighbor the identified intra-block are identified, where each inter-block in a set of inter-blocks has a motion vector associated therewith. Data of the first and second set of inter-blocks is evaluated to determine an error associated with each of the first and second sets. A motion vector associated with motion vectors of the inter-blocks of the set with the least error is determined. The determined motion vector may be associated with the identified intra-block.

Abstract: A method for video processing may include receiving video data units, and compressing the video data units to generate compressed video data units that have a variable size. The method may also include storing the compressed video data units contiguously in a memory in memory segments that have a fixed size, where the size of at least one of the compressed video data units is indivisible by the fixed size of the memory segments, and where a portion of the indivisible compressed video data unit is stored with a portion of another compressed video data unit in one of the memory segments. The method may also include determining data storage information associated with the compressed video data units, and storing the data storage information in the memory. A system may have a video processing architecture designed to support the method.

Abstract: A decoder may apply a resource-focused interpolation mode to enable or disable interpolation or extrapolation of video units, such as frames, based on power and quality considerations. In one mode, interpolation may be disabled to conserve power when reference frames are not likely to produce satisfactory quality. In another mode, the threshold may be adjustable as a function of power saving requirements. This disclosure also describes selection of reference video frames to be used for interpolation or extrapolation of a video frame. A decoder may apply a quality-focused mode to select a reference frame based on quality criteria. The quality criteria may indicate a level of quality likely to be produced by a reference frame. If no reference frames satisfy the quality criteria, interpolation or extrapolation may be disabled. Display of an interpolated or extrapolated frame may be selectively enabled based on a quality analysis of the frame.

Abstract: The disclosure is directed to techniques for encoder-assisted adaptive interpolation of video frames. According to the disclosed techniques, an encoder generates information to assist a decoder in interpolation of a skipped video frame, i.e., an S frame. The information permits the decoder to reduce visual artifacts in the interpolated frame and thereby achieve improved visual quality. The information may include interpolation equation labels that identify selected interpolation equations to be used by the decoder for individual video blocks. As an option, to conserve bandwidth, the equation labels may be transmitted for only selected video blocks that meet a criterion for encoder-assisted interpolation. Other video blocks without equation labels may be interpolated according to a default interpolation technique.

Abstract: A method is provided for block artifact detection and block artifact determination using multiple features in coded images and video. A method includes identifying a plurality of overlapping blocks in a picture with respect to a current block. Each of the plurality of overlapping blocks covers a portion of the current block and a portion of an adjacent block. The method further includes transforming at least one of the plurality of overlapping blocks into respective coefficients corresponding to at least one of a luminance component and a chrominance component. The method also includes identifying a block artifact for the at least one of the plurality of overlapping blocks when coefficients corresponding to the at least one of the plurality of overlapping blocks are larger than a predefined value.