Abstract: A video processing system includes: an object movement information acquiring means for detecting a moving object moving in a plurality of segment regions from video data obtained by shooting a monitoring target area, and acquiring movement segment region information as object movement information, the movement segment region information representing segment regions where the detected moving object has moved; an object movement information and video data storing means for storing the object movement information in association with the video data corresponding to the object movement information; a retrieval condition inputting means for inputting a sequence of the segment regions as a retrieval condition; and a video data retrieving means for retrieving the object movement information in accordance with the retrieval condition and outputting video data stored in association with the retrieved object movement information, the object movement information being stored by the object movement information and video d

Abstract: A video coder is configured to form, in a symmetric motion vector difference mode, a List 0 (L0) base vector using a L0 Advanced Motion Vector Prediction (AMVP) candidate list and a List 1 (L1) base vector using a L1 AMVP candidate list; determine a refined L0 motion vector and a refined L1 motion vector by performing a decoder-side motion vector refinement process that refines the L0 base vector and the L1 base vector; and use the refined L0 motion vector and the refined L1 motion vector to determine a prediction block for a current block of a current picture of the video data.

Abstract: A method and device for coding and decoding are disclosed. The method includes: dividing a picture to be encoded into several slices, each containing macroblocks continuous in a designated scanning sequence in the picture; dividing slices in the picture into one or more slice sets according to attribute information of the slices, each slice set containing one or more slices; and encoding the slices in the slice sets according to slice and slice set division information to get a coded bit stream of the picture. The decoding method includes: obtaining slice and slice set division information from a bit stream to be decoded and decoding the bit stream according to the obtained slice and slice set division information. The invention improves the performance of video transmission effectively and realizes region based coding. The implementation of coding and decoding is simple and the complexity of coding and decoding systems is reduced.

Abstract: A prediction device for predicting a motion vector of a coding target block in coding of a composite image formed by combining multiple viewpoint images includes: a storage unit that stores a first predicted motion vector indicating a predicted motion vector candidate; and an update unit that if a predetermined condition is met, generates a second predicted motion vector that is a vector indicating a pixel in an adjacent viewpoint, the pixel being located at a position that is same as a position of the coding target block, and stores the second predicted motion vector the storage unit.

Abstract: Aspects of the disclosure include methods, apparatuses, and non-transitory computer-readable storage mediums for video encoding/decoding. An apparatus includes processing circuitry that determines an offset of a quantization parameter for a chroma component of a coding region based on one of (i) a pixel value range of the chroma component, (ii) a complexity level of the chroma component, or (iii) a noise level of the chroma component. The processing circuitry performs a quantization process on a transform coefficient of the coding region based on the quantization parameter and the determined offset. The processing circuitry generates a video bitstream that includes the quantized transform coefficient.

Abstract: Techniques for controlling optical behavior of a multi-view display apparatus comprising a first layer comprising first optical elements and a second layer comprising second optical elements.

Abstract: A method for estimating a motion vector of a pixel block, a video processing apparatus, an electronic device and a storage medium. The method for estimating the motion vector of the pixel block includes: obtaining a plurality of candidate motion vectors of a current pixel block in a current video frame, the plurality of candidate motion vectors comprising at least a down-sampled candidate motion vector; calculating a confidence degree for a difference value between each of other candidate motion vectors except for the down-sampled candidate motion vector in the plurality of candidate motion vectors and the down-sampled candidate motion vector; and determining one candidate motion vector in the other candidate motion vectors as the motion vector of the current pixel block, the confidence degree for the difference value between the one candidate motion vector and the down-sampled candidate motion vector is highest.

Abstract: A method for imaging a sample, wherein the sample changes a polarization state of light as a function of position, wherein the method includes changing a polarization state of a purely polarized light of an incident light striking a micro-retarder array, thereby inducing a changed polarization state of the polarization state. The micro-retarder array is placed in a rear conjugate focal plane of a microscope. The method additionally includes projecting the changed polarization state of the polarization state into an object plane of the microscope containing the sample.

Abstract: Embodiments are generally directed to transport controlled video coding. An embodiment of an apparatus includes one or more processors to process data; a memory to store data, including data for video streaming; and a video processing mechanism including an encoder and a transport mechanism, wherein the video processing mechanism is to generate a prediction of channel throughput for a network channel, encode one or more bitstreams based on the prediction, including encoding a plurality of bitstreams including a first bitstream and a second bitstream if the prediction indicates an increase or decrease in channel throughput and encoding a single bitstream if the prediction indicates a stable channel throughput; and select a bitstream of the one or more bitstreams for a current frame.

Abstract: Systems and methods for reducing latency through motion estimation and compensation techniques are disclosed. The systems and methods include a client device that uses transmitted lookup tables from a remote server to match user input to motion vectors, and tag and sum those motion vectors. When a remote server transmits encoded video frames to the client, the client decodes those video frames and applies the summed motion vectors to the decoded frames to estimate motion in those frames. In certain embodiments, the systems and methods generate motion vectors at a server based on predetermined criteria and transmit the generated motion vectors and one or more invalidators to a client, which caches those motion vectors and invalidators. The server instructs the client to receive input from a user, and use that input to match to cached motion vectors or invalidators. Based on that comparison, the client then applies the matched motion vectors or invalidators to effect motion compensation in a graphic interface.

Abstract: Techniques are described for efficiently embedding frame masks in a video stream. In some solutions, a computer implemented method includes operations for encoding a frame of video data comprising an array of pixels to generate an encoded video frame and transmitting the encoded video frame. The array of pixels can include foreground pixels and background pixels. The foreground pixels can have respective original luma values which are bounded within a first luma range. In certain examples, encoding the frame of video data can include converting the original luma values of the foreground pixels to updated luma values which are bounded within a second luma range. The second luma range can be shifted and/or compressed from the first luma range.

Abstract: Aspects of the disclosure provide methods and apparatuses for video decoding. In some examples, an apparatus includes processing circuitry. The processing circuitry decodes prediction information of a current block from a coded video bitstream. The prediction information is indicative of an intra block copy mode. Then, the processing circuitry determines, according to the intra block copy mode, a first portion of a resolution syntax. The resolution syntax is unified of a same semantic for block vectors in the intra block copy mode and motion vectors in an inter picture merge mode. Further, the processing circuitry decodes a second portion of the resolution syntax from the coded video bitstream, and determines a block vector according to a resolution that is indicated by a combination of the first portion and the second portion. Then, the processing circuitry reconstructs at least one sample of the current block according the block vector.

Abstract: A coding amount estimation device includes: a feature vector generation unit that generates a feature vector on the basis of a feature map generated by an estimation target image and at least one filter set in advance; and a coding amount evaluation unit that evaluates a coding amount of the estimation target image on the basis of the feature vector.

Abstract: Methods, devices, and computer-readable media for generating color-neutral representations of driving objects are disclosed. In one embodiment, a method is disclosed comprising capturing an image, the image including an object of interest; identifying the object of interest in the image based on identifying one or more colors in the image; associating the object of interest with a known traffic object; identifying a color-neutral representation of the known traffic object; and displaying the color-neutral representation to a user.

Abstract: A system for a lane keeping feature of a vehicle is provided. The lane keeping feature has a predefined safety requirement criterion for keeping the vehicle within bounds while the lane keeping feature is active. The system comprises a road estimation module and a trajectory planning module. The road estimation module is configured to receive sensor data comprising information about a surrounding environment of the vehicle, and to determine a drivable area based on the sensor data. The drivable area comprises a left boundary and a right boundary extending along a direction of travel of the vehicle, wherein each boundary comprises a plurality of points distributed along each boundary, each point being associated with a confidence level. The trajectory planning module is configured to receive the determined drivable area, and to determine a nominal trajectory for the vehicle based on the received drivable area.

Abstract: A method of identifying media content presented on a display device includes determining a selected input source providing a video signal to the display device, and then selecting a first set of content identification rules when it is determined that the selected input source is a first input source, and selecting a second set of content identification rules when it is determined that the selected input source is a second input source. The method further comprises applying the selected first set or second set of content identification rules to the video signal in order to generate content identification data for the media content presented on the display device. Application of the content identification rules includes waiting for a trigger event and applying an algorithm to one or more frames of the video signal following the trigger event.

Abstract: Provided is a video decoding method including: generating a merge candidate list including neighboring blocks referred to predict a motion vector of a current block in a skip mode or a merge mode; when a merge motion vector difference is used according to merge difference mode information indicating whether the merge motion vector difference and a motion vector determined from the merge candidate list are used, determining a base motion vector from a candidate determined among the merge candidate list based on merge candidate information; determining the motion vector of the current block by using the base motion vector and a merge motion vector difference of the current block, the merge motion vector difference being determined by using a distance index and direction index of the merge motion vector difference of the current block; and reconstructing the current block by using the motion vector of the current block.

Abstract: The present invention provides a method of detecting a curved lane through path estimation using a monocular vision camera by which the curved lane may be estimated by using paths on the curved lane in the past when a lane is not seen on the curved road because of a dotted lane or other causes.

Abstract: This application relates to a method and apparatus, a storage medium, and a computer device for video encoding and decoding. The video encoding method includes: determining a sub-pixel interpolation mode, the sub-pixel interpolation mode comprising one of a direct sub-pixel interpolation mode or a sampled sub-pixel interpolation mode; acquiring motion estimation pixel precision corresponding to a current video frame; performing sub-pixel interpolation processing on a reference frame corresponding to the current video frame according to a resolution relationship between the current video frame and the reference frame, the motion estimation pixel precision, and the sub-pixel interpolation mode, to obtain a target reference frame; and encoding the current video frame according to the target reference frame, to obtain encoded data corresponding to the current video frame.

Abstract: A device includes one or more processors configured to execute instructions to obtain motion data indicating estimated motion between a first frame and a second frame of an input sequence of image frames, and to identify, based on the motion data, any frame regions of the first frame that indicate motion greater than a motion threshold. The one or more processors are also configured to determine, based on the motion data, a motion metric associated with the identified frame regions, and to perform a determination, based on the motion metric and a size metric associated with the identified frame regions, whether to use motion-compensated frame interpolation to generate an intermediate frame. The one or more processors are further configured to generate the intermediate frame based on the determination, and to generate an output sequence of image frames that includes the intermediate frame between the first frame and the second frame.