Abstract: A method for decoding an image according to the present invention comprises the steps of: decoding a residual block by quantizing and inverse transforming an entropy-decoded residual block; generating a prediction block via motion compensation; and decoding an image by adding the decoded residual block to the prediction block, wherein on the basis of the maximum number of motion vector candidates of the motion vector candidate list related to the prediction block, a motion vector candidate list is adjusted by adding a particular motion vector candidate or by discarding a portion from among the motion vector candidates, and in the prediction block generation step, a prediction motion vector of the prediction block is determined on the basis of the adjusted motion vector candidate list. Accordingly, the complexity of arithmetic operations is reduced during encoding/decoding of an image.

Abstract: Systems and techniques are provided for synchronizing a frame rate of pass-through content from a camera and a display refresh rate. An example method can include obtaining first and second frames captured by an image capture device (which may be part of a device, such as an extended reality (XR) device). A display refresh rate of a display is greater than a camera frame rate of the image capture device. The method may determine motion between the first frame and the second frame. The method can include predicting, based on the second frame and the determined motion, a third frame corresponding to a time after the second frame. The method can include displaying content (e.g., mixed reality content) including the predicted third frame and virtual content rendered for the XR device.

Abstract: A sound-source-candidate extraction system for extracting a candidate of a sound source that causes a noise propagated inside or outside a cabin of a vehicle. The sound-source-candidate extraction system includes: (a) an imaging device configured to acquire data of an image inside or outside the cabin of the vehicle; and (b) an extracting device configured to extract the candidate of the sound source, depending on a difference between first and second image data acquired by the imaging device, wherein the first image data is the data of the image before generation of the noise, and the second image data is the data of the image upon or after the generation of the noise. Also disclosed is a sound-source search method using the sound-source-candidate extraction system.

Abstract: A quantization apparatus includes: an imaging unit that converts statistical data at a position in a real space into a pixel value of a coordinate, which is associated with the position, in an image; and a derivation unit that derives a quantization parameter corresponding to a quantization width of the pixel value for each of one or more positions in the real space with respect to a part or a whole of the image. The quantization apparatus may further include a purpose acquisition unit that acquires information indicating a purpose related to statistics. The derivation unit may derive the quantization parameter corresponding to the quantization width that is larger as the pixel value is larger.

Abstract: Provided are systems and methods for portrait animation. An example method includes receiving, by a computing device, a scenario video, where the scenario video includes information concerning a first face, receiving, by the computing device, a target image, where the target image includes a second face, determining, by the computing device and based on the target image and the information concerning the first face, two-dimensional (2D) deformations of the second face in the target image, and applying, by the computing device, the 2D deformations to the target image to obtain at least one output frame of an output video.

Abstract: Methods and systems for managing traversals of one or more vehicles through a traffic intersection are proposed. In one example, a method comprises: receiving a first message including one or more motion characteristics of one or more vehicles approaching the traffic intersection; forming a motion group; grouping a subset of the one or more vehicles into the motion group based on the one or more motion characteristics; assigning a leader vehicle for the motion group; determining a group maneuver target for the motion group to traverse through the traffic intersection; and transmitting, to the leader vehicle of the motion group, a second message including the group maneuver target for the motion group, to enable the leader vehicle of the motion group to control a motion of each member vehicle of the motion group based on the group maneuver target.

Abstract: Innovations in encoder-side decisions that use the results of hash-based block matching are presented. For example, some of the innovations relate to ways of building hash tables that include some (but not all) uniform blocks. Other innovations relate to ways of determining motion vector resolution based on results of hash-based block matching. Still other innovations relate to scene change detection, including long-term reference picture selection and picture quality determination during encoding.

Abstract: A mask wearing status alarming method, a mobile device, and a computer readable storage medium are provided. The method includes: performing a face detection on an image to determine face areas each including a target determined as a face; determining a mask wearing status of the target in each face area; confirming the mask wearing status of the target in each face area using a trained face confirmation model to remove the face areas comprising the target being mistakenly determined as the face and determining a face pose in each of the remaining face areas to remove the face areas with the face pose not meeting a preset condition, in response to determining the mask wearing status as a not-masked-well status or a unmasked status; and releasing an alert corresponding to the mask wearing status of the target in each of the remaining face areas.

Abstract: A file generation apparatus generates a file which includes material data used for generation of a virtual viewpoint image that is based on a multi-viewpoint image and type information for specifying a type of the material data, and outputs the generated file.

Abstract: A method to correct a digital image to reverse the effect of signal diffusion among pixels of the digital image. For a target pixel j of the digital image, a set of signal values and a set of signal amplitudes are received, each corresponding to a set of kernel pixels i surrounding and including the target pixel j. For each kernel pixel i, a weighting coefficient is computed based on the signal amplitude of that kernel pixel i and on the signal amplitude of the target pixel j. A linear combination of signal values corresponding to the set of kernel pixels i is computed, wherein the signal value for each pixel i is weighted by the weighting coefficient corresponding to that pixel i. The linear combination is stored in volatile memory of an electronic device as a corrected signal value for the target pixel j.

Abstract: A video management system (VMS) may search for one or more objects and/or events in one or more video streams, and may receive time-stamped metadata that may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. A user may enter a query into a video query engine, wherein the video query engine includes one or more cognitive models. The VMS may apply the search query to the time-stamped metadata via the video query engine to search for one or more objects and/or events in the one or more video streams that match the search query, and returning a search result to the user.

Abstract: Disclosed are systems and methods for portrait animation. An example method includes receiving, by a computing device, a scenario video, where the scenario video includes at least one input frame and the at least one input frame includes a first face, receiving, by the computing device, a target image, where the target image includes a second face, determining, by the computing device and based on the at least one input frame and the target image, two-dimensional (2D) deformations of the second face in the target image, where the 2D deformations, when applied to the second face, modify the second face to imitate at least a facial expression of the first face, and applying, by the computing device, the 2D deformations to the target image to obtain at least one output frame of an output video.

Abstract: A method including loading a data file into a memory of a mobile computing device, displaying a portion of the data file on a display of the mobile computing device, detecting user motion data corresponding to a motion of the mobile computing device by a user, the motion being indicative of the user's desire to view a further portion of the data file, and displaying the further portion of the data file on the display as a function of the user motion data.