Abstract: Provided is a method of coding blocks of video data representing an image using an encoder, the method including identifying, by the encoder, a first region of the image and a second region of the image, a sum of a first number of pixels in the first region and a second number of pixels in the second region being equal to a total number of pixels of the image, and allocating, by the encoder, a first number of bits including base bits for encoding the first region, and a second number of bits including base bits and enhancement bits for encoding the second region, a sum of the first number of bits and the second number of bits being equal to a total number of bits for encoding all of the pixels, wherein the second region is encoded with a greater number of bits per pixel than the first region.

Abstract: A method for encoding including executing game logic built on a game engine of a video game at a cloud gaming server to generate video frames. The method including executing scene change logic to predict a scene change in the video frames based on game state collected during execution of the game logic. The method including identifying a range of video frames that is predicted to include the scene change. The method including generating a scene change hint using the scene change logic, wherein the scene change hint identifies the range of video frames, wherein the range of video frames includes a first video frame. The method including delivering the first video frame to an encoder. The method including sending the scene change hint from the scene change logic to the encoder. The method including encoding the first video frame as an I-frame based on the scene change hint.

Abstract: A video display system for providing vision correction for multiple users may include a display device having a holographic layer and a vision correction layer. The system may also include a processor coupled to the display device to receive a first prescription corresponding to a first user and a second prescription corresponding to a second user, and to modulate the display device so that the first user at a first angle and the second user at a second angle can view a non-distorted image from the display device.

Abstract: An apparatus and a method filters reconstructed images, in particular, video images, with adaptive multiplicative filters. The apparatus and method groups the multiplier coefficients of the filter into at least two groups; determines the value of each multiplier coefficient in a first group so as to be allowed to assume any value in a first set of allowed values of multiplier coefficients, determines the value of each multiplier coefficient in a second group so as to be allowed to assume any value in a second set of allowed values of multiplier coefficients, and filters the set of samples of an image with the filter. At least one of the first and second sets has at least one value that is not in the other set.

Abstract: A camera is provided that has an image sensor having a plurality of pixel elements for recording image data of an object stream moved in a direction of movement relative to the camera and having objects of a height, and a control and evaluation unit that is configured to determine the height of a respective object with reference to the image data. The image sensor here is an event-based image sensor and the control and evaluation unit is configured to detect a measurement series of points in time at which pixel elements adjacent in the direction of movement consecutively register an event to determine a speed of an object image of the object on the image sensor from said measurement series and from this the height.

Abstract: Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

Abstract: A method and a motion data extraction and vectorization system (MDEVS) extract and vectorize motion data of an object in motion with optimized data storage and data transmission bandwidth. The MDEVS includes an image sensor, a motion data processor, and a storage unit. The image sensor captures video data including a series of image frames of the object in motion. The motion data processor detects an object in motion from consecutive image frames, extracts motion data of the detected object in motion from each image frame, and generates a matrix of vectors defining the object in motion for each image frame using the extracted motion data. The motion data includes, for example, image data of the object, trajectory data, relative physical dimensions, a type of the object, time stamp of each image frame, etc. The storage unit maintains the generated matrix of vectors for local storage, transmission, and analysis.

Abstract: A computer implemented system and method for generating a focus corrected image of a sample disposed on a sample holder of an imaging system is disclosed. The imaging system includes an image sensor and a lens moveable relative to the image sensor between a first position and a second position. A characteristic map of the lens is developed that associates coordinates of each pixel of an image generated by the imaging sensor with one of a first plurality of locations of the lens between the first position and the second position. An image generator develops an output pixel of a focus-corrected image of a sample from a plurality of images of the sample acquired when the lens is positioned at a corresponding one of a second plurality of locations of the lens between the first position and the second position.

Abstract: Provided is a method for transmitting metadata for omnidirectional content including a plurality of viewpoints. The method comprises identifying the metadata for the omnidirectional content including the plurality of viewpoints; and transmitting the identified metadata, wherein the metadata includes information about an identifier (ID) of a viewpoint group including at least one viewpoint of the plurality of viewpoints, and wherein the at least one viewpoint in the viewpoint group shares a common reference coordinate system.

Abstract: A display device for the interior of a vehicle includes a display unit designed to optically display information, and a movement mechanism designed to transfer the display unit, controllably, between a non-usage position parallel to a roof liner of the vehicle and a usage position, swivelled away from the roof liner of the vehicle, and to retain the display unit, controllably, in the non-usage position and/or in the usage position. The movement mechanism is attached to the display unit: by first guide elements in order to define a swivel axis for swivelling the display unit at least between the non-usage position and the usage position; by second guide elements, each of which is or can be coupled to the display unit in a mechanical operative connection via a coupling lever of the display device; and by guide rails for attaching to the roof liner. The rails have a guide track for receiving the guide elements and for moving same therein along the guide track.

Abstract: An imaging system includes a camera unit and a main body. A clock detection circuit is configured to detect a first clock signal of the camera unit from first digital data transmitted from the camera unit. A phase comparator is configured to generate second digital data that represent a difference between a phase of the first clock signal and a phase of a second clock signal of the main body. A second communicator is configured to perform communication in a second direction in which the second digital data are transmitted to the camera unit in a blanking period. A first clock generation circuit is configured to generate the first clock signal synchronized with the second clock signal on the basis of the second digital data.

Abstract: Systems and methods described herein provide a new mechanism of video exportation which ensures that the process is done faster and that a single video can be exported to two or more destination at the same time. This document explains the steps involved in the creation of the video, processes involved in encoding, rendering, transmission/exportation, and playing the video. Figures are used in explaining or illustrating the flow of processes and showing the different devices used in accomplishing various activities in the exporting processes. The application will receive commands to perform the exporting from the destination. Overall, the application will be able to facilitate faster exportation of a video, almost twice the basic speed of the known video exportation systems and to multiple destinations unlike in exportation by the basic applications in use today.

Abstract: A distance measurement camera 1 contains a first optical system OS1 for collecting light from a subject 100 to form a first subject image, a second optical system OS2 for collecting the light from the subject 100 to form a second subject image, an imaging part S for imaging the first subject image formed by the first optical system OS1 and the second subject image formed by the second optical system OS2, and a distance calculating unit 4 for calculating the distance to the subject 100 based on the first subject image and the second subject image imaged by the imaging part S. The distance calculating part 4 calculates the distance to the subject 100 based on an image magnification ratio between a magnification of the first subject image and a magnification of the second subject image.

Abstract: A method for decoding a video according to the present invention may comprise: deriving a spatial merge candidate for a current block, generating a merge candidate list for the current block based on the spatial merge candidate, obtaining motion information for the current block based on the merge candidate list, and performing motion compensation for the current block using the motion information. Herein, if the current block does not have a pre-defined shape or does not have a size equal to or greater than a pre-defined size, the spatial merge candidate of the current block is derived based on a block having the pre-defined shape or having a size equal to or greater than the pre-defined size, the block comprising the current block.

Abstract: A method of compressing a frame in an image compression and storage system includes mapping an original sample to a mapped sample based on a bit depth of the original sample and a maximum allowed error, to ensure low reconstruction error for a high priority sample value, determining a residue of the mapped sample based on a mapped previous reconstructed sample, applying a modulo addition to the residue to generate a biased residue, quantizing the biased residue based on the maximum allowed error to generate a quantized biased residue, and encoding a value corresponding to the quantized biased residue to generate an encoded value.

Abstract: A video encoding system in which pixel data is decomposed into frequency bands prior to encoding. The frequency bands are organized into blocks that are provided to a block-based encoder that encodes the blocks and passes the encoded blocks to a wireless interface that packetizes the blocks for transmittal over a wireless connection. The encoder may categorize the encoded frequency bands into multiple priority levels, and may tag each frequency block with metadata indicating the frequency band represented in the block, the priority of the frequency band, and timing information. The wireless interface may then transmit or drop packets according to the priority levels of the encoded frequency blocks in the packets and/or according to the timing information of the frequency blocks in the packets.

Abstract: A method for monitoring a driver of a vehicle includes receiving, at a control, driver information based on the driver of the vehicle. A distraction workload of the driver is determined by the control based on the driver information and a driving workload of the driver is estimated by the control based on the driver information. An amount of driver attention is determined by the control based on the determined distraction workload and the determined driving workload.

Abstract: The present invention relates to a decoding method for a bit stream that supports a plurality of layers. The decoding method may include receiving information on a set of video parameters that includes information on the plurality of layers, and parsing the set of video parameters to grasp information on the layers in the bit stream.

Abstract: The present disclosure provides a deep neural network (DNN)-based reconstruction method and apparatus for compressive video sensing (CVS). The method divides a video signal into a key frame and a non-key frame. The key frame is reconstructed by using an existing image reconstruction method. The non-key frame is reconstructed by using a special DNN according to the present disclosure. The neural network includes an adaptive sampling module, a multi-hypothesis prediction module, and a residual reconstruction module. The neural network makes full use of a spatio-temporal correlation of the video signal to sample and reconstruct the video signal. This ensures low time complexity of an algorithm while improving reconstruction quality. Therefore, the method in the present disclosure is applicable to a video sensing system with limited resources on a sampling side and high requirements for reconstruction quality and real-time performance.

Abstract: The present invention relates to an image information decoding method. The decoding method includes receiving a bit stream including a Network Abstraction Layer (NAL) unit that includes information related to encoded image, and parsing a NAL unit header of the NAL unit. The NAL unit header may not include 1 bit flag information that represents whether a picture is a non-reference picture or a reference picture in the entire bit stream during encoding.