Abstract: A method of determining a quality measure for a processed video signal generated from an original video signal. A statistical metric for a value for a set of pixels of the original video signal is determined, and the statistical metric for the value for a corresponding set of pixels of the processed video signal is also determined. The quality measure for the processed video signal is then determined by comparing the statistical metrics for the original video signal and the processed video signal.

Abstract: A driver-fatigue warning system suitable for use in an automated vehicle includes a camera, an alert-device, and a controller. The camera renders an image of a lane-marking and of an object proximate to a host-vehicle. The alert-device is operable to alert an operator of the host-vehicle of driver-fatigue. The controller is in communication with the camera and the alert-device. The controller determines a vehicle-offset of the host-vehicle relative to the lane-marking based on the image. The controller determines an offset-position of the object relative to the lane-marking based on the image. The controller determines that a lane-departure has occurred when the vehicle-offset is less than a deviation-threshold. The controller does not count occurrences of lane-departures when the offset-position is less than an offset-threshold, and activates the alert-device when the count of the occurrences of lane-departures exceeds a crossing-threshold indicative of driver-fatigue.

Abstract: A direction control device includes: a camera unit that acquires an image captured by photographing a subject by a camera targeted for adjustment of a photographing direction; an image-processing unit that calculates a position of a first setting image that represents the subject in the captured image; a posture detection unit that detects a difference between a position of a second setting image that represents the subject in a reference image registered in advance and the position of the first setting image; and a camera control unit that shifts the photographing direction of the camera based on the difference.

Abstract: An analytical recognition system includes one or more video cameras configured to capture video and a video analytics module configured to perform real-time video processing and analyzation of the captured video and generate non-video data. The video analytic module includes one or more algorithms configured to identify an abnormal situation. Each abnormal situation alerts the video analytics module to automatically issue an alert and track one or more objects or individuals by utilizing the one or more video cameras. The abnormal situation is selected from the group consisting of action of a particular individual, non-action of a particular individual, a temporal event, and an externally generated event.

Abstract: An on-loom fabric inspection system having at least one imaging device configured to collect images of at least one section of a weaving area of a loom including a shed region, a woven fabric region and a fell region. The system is operable to detect faults in the weaving area and to produce batches of woven fabric assigned with an objective quality index.

Abstract: The disclosure generally relates to methods and systems for maintaining quality of experience (QoE) in real-time live video streaming. Conventional techniques in achieving the QoE employ either additional bandwidth of the network or compromise on a latency of the network. The present disclosure provides a rendering algorithm to compensate for lost entropy without attempting to regain exact lost packet(s) information. The rendering algorithm enhance the QoE by regaining structural continuity of the lost packet(s) information despite variations in the end-to-end transmission channel. A segmentation algorithm is employed to segment each frame into one or more packets, so that each packet should only have integer number of MCU blocks. The rendering algorithm to identify the lost packets and to compensate the lost information. The present disclosure provides a loss resilient solution to maintain the QoE without trading off the bandwidth efficiency and the network latency.

Abstract: A decoding method including decoding one standard dynamic range (SDR) luminance component and two SDR chrominance components from a bitstream produced by an encoder and color converting the SDR luminance component and the two decoded SDR chrominance components. A dynamic expansion function is applied on the color converted SDR luminance component to obtain a high dynamic range (HDR) luminance component, wherein the dynamic expansion function is the inverse of a dynamic reduction function applied on the HDR luminance component on the encoder's side. A color transfer operation is applied on the color converted SDR chroma components to obtain an HDR chrominance component and an HDR chrominance component in XYZ color space. A color conversion matrix is applied on the HDR luminance component, the HDR chrominance component and the HDR chrominance component to obtain an HDR picture in RGB color space.

Abstract: The present disclosure relates to systems and methods of multi-camera. The method may include determining a level of a camera in a multi-camera system based on the status of an object, and determining a mode of the camera based on the level. The mode may relate to one of a bit rate, an I frame interval, or a coding algorithm. The method may further include generating a monitor file relating to the object based on the level of the camera in the multi-camera system.

Abstract: In a video processing system, a method and system for generating a transform size syntax element for video decoding are provided. For high profile mode video decoding operations, the transform sizes may be selected based on the prediction macroblock type and the contents of the macroblock. A set of rules may be utilized to select from a 4.×.4 or an 8.×.8 transform size during the encoding operation. Dynamic selection of transform size may be performed on intra-predicted macroblocks, inter-predicted macroblocks, and/or direct mode inter-predicted macroblocks. The encoding operation may generate a transform size syntax element to indicate the transform size that may be used in reconstructing the encoded macroblock. The transform size syntax element may be transmitted to a decoder as part of the encoded video information bit stream.

Abstract: In one example, a device includes a memory configured to store video data, and one or more processing units implemented in circuitry configured to construct a plurality of filters for classes of blocks of a current picture of the video data, wherein to construct the plurality of filters, the one or more processing units are configured to generate a plurality of sets of filter coefficients, and for a subset of the plurality of filters, determine respective indexes that identify one of the sets of filter coefficients for the corresponding filter of the subset; decode a current block of the current picture, determine a class for the current block, select a filter of the plurality of filters that corresponds to the class for the current block, and filter at least one pixel of the current block using the selected filter.

Abstract: A depiction system for generating a real time correlated depiction of movements of a surgical tool for uses in minimally invasive surgery is described. In an embodiment the system includes a computer system, 3D surface data generation means and position data generation means for obtaining real time spatial position data of at least a part of the surgical tool. The 3D surface data generation means or the position data generation is adapted for providing surface position data of at least the target area. The computer system is programmed for determining depiction data representing a depiction of the real time relative spatial position(s) of the surgical tool onto at least a portion of the surface contour of the surface section of the minimally invasive surgery cavity.

Abstract: A transcoding capability configuration method that includes: separately obtaining capability information reported by at least two terminals, where the capability information includes first transcoding capability data and a service type of a service executed by the at least two terminals, and the at least two terminals belong to a same service group; determining, based on the first transcoding capability data and the service type of each of the at least two terminals, second transcoding capability data satisfying the at least two terminals; and sending the second transcoding capability data to each of the at least two terminals, so that each terminal configures a transcoding parameter based on the second transcoding capability data.

Abstract: Residual vectors are compressed in a lossless compression scheme suitable for cloud DVR video content applications. Thus, a cloud DVR service provider can take many copies of the same file stored in the cloud and save storage space by compressing those copies while still maintaining their status as distinct copies, one per user. Vector quantization is used for compressing already-compressed video streams (e.g., MPEG streams). As vector quantization is a lossy compression scheme, the residual vector has to be stored to regenerate the original video stream at the decoding (playback) node. Entropy coding schemes like Arithmetic or Huffman coding can be used to compress the residual vectors. Additional strategies can be implemented to further optimize this residual compression. In some embodiments, the techniques operate to provide a 25-50% improvement in compression. Storage space is thus more efficiently used and video transmission may be faster in some cases.

Abstract: Disclosed herein is a surround camera system for autonomous driving. The surround camera system includes: at least one forward surveillance camera configured to monitor a region in front of a vehicle; at least one backward surveillance camera configured to monitor a region behind the vehicle; one or more side surveillance cameras configured to monitor both sides alongside the vehicle; a monitoring means configured to display each of acquired images; and a video control unit configured to process the images acquired via the forward surveillance camera, the backward surveillance camera, and the side surveillance camera, to transmit the processed images to the monitoring means, to detect a target object from the acquired images, analyze the target object, and issue a warning to a driver, and to control the electronic control unit of the vehicle; wherein a 360-degree omnidirectional region around the vehicle is monitored.

Abstract: A video coding block is intra-predicted on the basis of a plurality of primary reference samples from a first set of neighboring video coding blocks. A fitting plane is determined on the basis of the plurality of primary reference samples and defines a plurality of fitting samples. For a selected directional intra prediction mode, a plurality of secondary reference samples are generated on the basis of the plurality of primary reference samples and the plurality of fitting samples. The secondary reference samples are located in a second set of neighboring video coding blocks. The sample values of the current video coding block are predicted on the basis of the plurality of primary reference sample values and the plurality of secondary reference sample values.

Abstract: At least one image pickup system that acquires distance information and prevents missing, or loss of, information while taking countermeasures against flicker, includes a first image pickup apparatus, a second image pickup apparatus, and a signal processing unit configured to process signals acquired from the first image pickup apparatus and the second image pickup apparatus. An exposure period of the first image pickup apparatus and an exposure period of the second image pickup apparatus are repeated a plurality of times in one frame. The exposure period of the first image pickup apparatus is overlapped with a non-exposure period of the second image pickup apparatus, and a non-exposure period of the first image pickup apparatus is overlapped with the exposure period of the second image pickup apparatus.

Abstract: A decoding method and apparatus are provided. A first candidate having a first motion vector that has been used to decode a first block, a first prediction direction that corresponds to the first motion vector, and a first reference picture index that identifies a first reference picture is derived. A second candidate having a second motion vector that has been used to decode a second block, a second prediction direction that corresponds to the second motion vector, and a second reference picture index that identifies a second reference picture is derived. When a total number of candidates is less than a maximum number, a third candidate is derived by combining the first motion vector and the first reference picture index for the first prediction direction of the first candidate and the second motion vector and the second reference picture index for the second prediction direction of the second candidate.

Abstract: A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland.

Abstract: An intra code-rate predicting method in video coding, which enables skipping of an entropy coding procedure during a rate-distribution optimization process and effectively reduces the coding time by modeling residual information of a prediction block and predicting the number of coding bits based on a model resulting from the modeling.

Abstract: Techniques and systems are provided for processing video data. For example, 360-degree video data can be obtained for processing by an encoding device or a decoding device. The 360-degree video data includes pictures divided into motion-constrained tiles. The 360-degree video data can be used to generate a media file including several tracks. Each of the tracks contain a set of at least one of the motion-constrained tiles. The set of at least one of the motion-constrained tiles corresponds to at least one of several viewports of the 360-degree video data. A first tile representation can be generated for the media file. The first tile representation encapsulates a first track among the several tracks, and the first track includes a first set of at least one of the motion-constrained tiles at a first tile location in the pictures of the 360-degree video data. The first set of at least one of the motion-constrained tiles corresponds to a viewport of the 360-degree video data.