Abstract: There is provided a method and devices for encoding and streaming a video sequence over a plurality of network connections. A video sequence is encoded (S04) in parallel into a number of encoded video sequences having different video properties. The encoded video sequences are then streamed (S06) in parallel over the plurality of network connections. Each encoded video sequence is streamed over at least one of the plurality of network connections, and, for each network connection, an encoded video sequence having video properties that match desired video properties of the network connection. In response to detecting (S08) that the desired video properties of one of the network connections have changed, the number of encoded video sequences is increased or decreased (S10).

Abstract: An optical passive stereo assembly for generating a three-dimensional image, the optical assembly comprising: two image capturing devices each mounted within the optical passive stereo assembly in a skewed position to the other with respect to the horizontal plane; a processor configured to: process data retrieved from a plurality of pixels comprised within images captured by the two image capturing devices, and generate a point cloud, being a set of data points in a 3D space retrieved from the tilted coordinate system (X?, Y?, Z?); apply a 2D rotation in the X-Y plane to the point cloud, thereby converting the coordinate system of the resulting point cloud to a conventional cartesian coordinate system (X, Y, Z), to enable generating the three-dimensional image.

Abstract: A video decoding device and method, including extracting PCM block size information including a threshold, from a bitstream, determining the threshold based on the extracted PCM block size information; parsing a PCM header from the bitstream with respect to an encoded block, only when said encoded block is prediction mode of intra prediction and a block size of said encoded block is equal to or greater than the determined threshold, controlling an entropy decoding process and a PCM decoding process based on the parsed PCM header; parsing transformed data of a prediction error data of an image in the bitstream; and PCM-decoding PCM data of the image in the bitstream, wherein the decoding performs the decoding operation based on the prediction mode being intra prediction and based on the block size of the encoded block being equal to or greater than the determined threshold.

Abstract: A video decoding device and method, including extracting PCM block size information including a threshold, from a bitstream, determining the threshold based on the extracted PCM block size information; parsing a PCM header from the bitstream with respect to an encoded block, only when said encoded block is prediction mode of intra prediction and a block size of said encoded block is equal to or greater than the determined threshold, controlling an entropy decoding process and a PCM decoding process based on the parsed PCM header; parsing transformed data of a prediction error data of an image in the bitstream; and PCM-decoding PCM data of the image in the bitstream, wherein the decoding performs the decoding operation based on the prediction mode being intra prediction and based on the block size of the encoded block being equal to or greater than the determined threshold.

Abstract: The present disclosure generally relates to camera and visitor user interfaces. In some examples, the present disclosure relates to displaying indications of visitors detected by an accessory device of the home automation system.

Abstract: The purpose of the present invention is to provide an imaging device whereby enhanced sensing precision and reduced computational load can both be achieved at the same time even when a plurality of objects as sensing subjects are present. In order to achieve this purpose, the present invention has: a first object detection processing unit having a plurality of imaging units, the first object detection processing unit performing first object detection processing for sensing, by stereo processing, a distance for each of a plurality of image elements in partial region of interest in an image acquired by the imaging units, then extracting a group of the image elements on the basis of the sensed distances and detecting an object; and a second object detection processing unit for performing second object detection processing for detecting the distance of the object by stereo processing for a partial region of another region of interest in the image.

Abstract: Systems and methods for compensating for observer movement during robotic surgery. An exemplary system includes an image capture device configured to capture images of a surgical site, a stereoscopic display device, a sensor configured to detect positions of an observer, and a computing device including a processor and a memory storing instructions. The instructions, when executed by the processor, cause the computing device to receive the images of the surgical site from the image capture device, receive data from the sensor indicating a position of the observer, process the received images of the surgical site based on the movement of the observer, and cause the stereoscopic display device to display the processed images of the surgical site.

Abstract: A prediction image generation method using two prediction images to generate a prediction image by a device is provided. First and second prediction image are generated. Bidirectional prediction gradient change prediction processing is performed by using a first shift value and difference values of the first and second prediction images respectively in horizontal and vertical directions to generate a first, second, third and fourth gradient images. Motion information is derived by using the first and second prediction images, the first, second, third and fourth gradient images, a second shift value, and a third shift value. Motion compensation correction value is derived by using the motion information and the first, second, third and the fourth gradient images. The prediction image is generated by using the first and second prediction images and the motion compensation correction value. The first, second and third shift values are respectively equal to 6, 4 and 1.

Abstract: A safety drive assist apparatus includes an imaging unit, an information acquisition unit, first and second determination processors, and a search control processor. The imaging unit captures an image of an occupant inside a vehicle. The information acquisition unit is provided inside and outside the vehicle and acquires information including biometric information of the occupant. The first and the second determination processors determine physical and mental fatigue levels of the occupant inside the vehicle, respectively, on the basis of the image captured by the imaging unit or the information acquired by the information acquisition unit. The search control processor searches for a recommended traveling route and a recommended stop-by point on the basis of a search condition, and propose a result of the search to the occupant. The search condition is based on one or both of determination information obtained by the first determination processor, the second determination processor.

Abstract: A VSR approach with temporal consistency using generative adversarial networks (VistGAN) that requires only the training HR video sequence to generate the HR/LR video frame pairs, instead of the pre-artificial-synthesized HR/LR video frame pairs, for training. By this unsupervised learning method, the encoder degrades the input HR video frames of a training HR video sequence to their LR counterparts, and the decoder seeks to recover the original HR video frames from the LR video frames. To improve the temporal consistency the unsupervised learning method provides a sliding window that explores the temporal correlation in both HR and LR domains. It keeps the temporal consistent and also fully utilizes high-frequency details from the last-generated reconstructed HR video frame.

Abstract: Systems and methods for performing trick play functionality using trick play streams during adaptive bitrate streaming in accordance with embodiments of the invention are disclosed. One embodiment includes requesting a video container index from a video container file containing a video stream from a plurality of alternative streams of video; requesting at least one portion of the video stream using at least one entry from the video container index; decoding the at least one portion of the video stream; receiving at least one user instruction to perform a visual search of the media; requesting a trick play container index from a trick play container file containing a trick play stream; requesting at least one frame of video from the at least one trick play stream; and decoding and displaying the at least one frame of video from the trick play stream.

Abstract: A system comprises an encoder configured to compress attribute and/or spatial information for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. In some embodiments, an encoder applies an attribute transfer function to attributes of an image based representation with out-of-loop smoothing such that a decoder may apply any smoothing filter supported by the decoder without being restricted to using a similar smoothing filter as the encoder.

Abstract: Described is a method of calibrating a camera. The method comprises obtaining geographical coordinates of a selected physical point location within an image view of the camera and measuring an angle between an x-axis of a real-world coordinate system passing through said selected point location with respect to true north. The method includes using said obtained geographical coordinates, said measured angle, and projection data derived from characteristics of the camera to derive modified projection data for transforming a two-dimensional pixel coordinate system of the camera image view into a three-dimensional geographical coordinate system for point locations within the image view of the camera.

Abstract: A method of video decoding includes determining, for a current block of a picture, one of a plurality of reference lines. The method includes determining an intra prediction mode for the current block in accordance with the determined one of the plurality of reference lines. The method further includes performing intra prediction for the current block based on the determined intra prediction mode and one or more samples included in the determined one of the plurality of reference lines. The plurality of reference lines includes an adjacent reference line that is adjacent to the current block and at least one non-adjacent reference line that is not adjacent to the current block, and each of the at least one non-adjacent reference line is associated with a decreasing number of intra prediction modes with respect to a direction away from the current block.

Abstract: A system and method of automatically activating a windshield wiper system of a vehicle having a front windshield with a front wiper and a rear windshield with a rear wiper are provided. The method comprises assessing at least one windshield classification of road conditions based on original information and capturing a front image of the front windshield, a rear image of the rear windshield, and an environment image of the environment. The method further comprises classifying the images to define a first windshield class. The method further comprises determining a front windshield perception, a rear windshield perception, and an environment perception of the first windshield class to define a first combination of detection sources. The method further comprises fusing the front windshield perception, the rear windshield perception and the environment perception, defining a first front probability of the first windshield class.

Abstract: An image decoding method according to the present document includes obtaining motion prediction information for a current block from a bitstream, generating an affine MVP candidate list for the current block, deriving CPMVPs for CPs of the current block based on the affine MVP candidate list, deriving CPMVDs for the CPs of the current block based on the motion prediction information, deriving CPMVs for the CPs of the current block based on the CPMVPs and the CPMVDs, and deriving prediction samples for the current block based on the CPMVs.

Abstract: A target identification method includes receiving target detection information for a current target from a device, and acquiring target state information of multiple reference targets. A degree of matching between the target detection information and the target state information of each of the multiple reference targets is determined; and the current target is associated with a corresponding reference target having a best degree of matching amongst the multiple reference targets.

Abstract: A method for processing a video includes performing a determination, by a processor, that a first video block is partitioned to include a first prediction portion that is non-rectangular and non-square; adding a first motion vector (MV) prediction candidate associated with the first prediction portion to a motion candidate list associated with the first video block, wherein the first MV prediction candidate is derived from a sub-block MV prediction candidate; and performing further processing of the first video block using the motion candidate list.

Abstract: A three-dimensional shape measuring method includes: projecting a first grid pattern based on a first light and a second grid pattern based on a second light onto a target object in such a way that the first grid pattern and the second grid pattern intersect each other, the first light and the second light being lights of two colors included in three primary colors of light; picking up, by a three-color camera, an image of the first grid pattern and the second grid pattern projected on the target object, and acquiring a first picked-up image based on the first light and a second picked-up image based on the second light; and performing a phase analysis of a grid image with respect to at least one of the first picked-up image and the second picked-up image and calculating height information of the target object.

Abstract: An apparatus, method and computer program product are provided for determining a state of visibility of a road object, such as a road sign, using vehicle sensor data. For example, the apparatus determines whether one or more sensors of a first vehicle observes a road sign. If the road sign is not observed by the one or more sensors, the apparatus determines whether one or more second vehicles is obscuring the road sign. If the one or more second vehicles is not obscuring the road sign, the apparatus determines whether the road sign is obscured due to a weather condition. If the road sign is obscured due to the weather condition, the apparatus generates a signal indicating that the road sign was obscured due to the weather condition.