Abstract: A method of decoding an encoded video. The method includes obtaining the encoded video bitstream and determining whether a chroma array type of a video sequence included in the encoded video bitstream is a first chroma array type indicating that the video sequence includes multiple color planes and that the multiple color planes are jointly. In addition, based on determining that the chroma array type is not the first chroma array type, the method further includes setting a value of at least one syntax element to zero without parsing the at least one syntax element from the encoded video bitstream, and based on the value of the at least one syntax element being zero, decoding the video sequence without applying at least one tool corresponding to the at least one syntax element.

Abstract: Coding techniques for 360-degree video are described. An encoder selects a projection format and maps the 360-degree video to a 2D planar video using the selected projection format. The encoder encodes the 2D planar video in a bitstream and further signals, in the bitstream, parameters identifying the projection format. The parameters identifying the projection format may be signaled in a video parameter set, sequence parameter set, and/or picture parameter set of the bitstream. Different projection formats that may be signaled include formats using geometries such as equirectangular, cubemap, equal-area, octahedron, icosahedron, cylinder, and user-specified polygon. Other parameters that may be signaled include different arrangements of geometric faces or different encoding quality for different faces. Corresponding decoders are also described. In some embodiments, projection parameters may further include relative geometry rotation parameters that define an orientation of the projection geometry.

Abstract: According to one embodiment, disclosed is a method by which a camera module capable of acquiring depth information controls the output time point and the reception time point of light. By controlling both the output time point and the reception time point of light, the camera module can acquire the light of phases in which adjacent reception pixels differ from one another despite controlling light sources or reception pixels in line units.

Abstract: An image encoding/decoding method and apparatus of the present invention may divide one picture into a plurality of division units, determine whether to perform filtering on a boundary of a current division unit based on a predetermined flag, and perform filtering on the boundary of the current division unit in response to the determination.

Abstract: In various embodiments, an encoder comparison application compares the performance of different configured encoders. In operation, the encoder comparison application generates a first global convex hull of video encode points based on a first configured encoder and a set of subsequences included in a source video sequence. Each video encode point is associated with a different encoded version of the source video sequence. The encoder comparison application also generates a second global convex hull of video encode points based on a second configured encoder and the subsequences. Subsequently, the encoder configuration application computes a performance value for an encoding comparison metric based on the first global convex hull and the second global convex hull. Notably, the first performance value estimates a difference in performance between the first configured encoder and the second configured encoder.

Abstract: A positioning system and a calibration method of an objection location are provided. The calibration method includes the following. Roadside location information of a roadside unit (RSU) is obtained. Object location information of one or more objects is obtained. The object location information is based on a satellite positioning system. An image identification result of the object or the RSU is determined according to images of one or more image capturing devices. The object location information of the object is calibrated according to the roadside location information and the image identification result. Accordingly, the accuracy of the location estimation may be improved.

Abstract: Automated object identification and tracking systems and methods may include an imaging device operatively coupled to a movable base. The movable base may include one or more actuators to adjust pan and/or tilt orientations of the movable base and imaging device, and the imaging device may include a zoom controller to adjust a zoom level of the imaging device. A controller of the movable base may receive imaging data from the imaging device, process the imaging data to identify an object, and track the object over a plurality of frames of imaging data by instructing adjustments to a pan orientation, a tilt orientation, and/or a zoom level to substantially maintain the identified object at a desired size and within a field of view of the imaging device based on a position and/or size of the object represented within the imaging data.

Abstract: An apparatus includes an interface circuit and a control circuit. The interface circuit may be configured to receive pixel data corresponding to a field of view of a camera. The control circuit may be configured to process the pixel data arranged as video frames and control an exposure time for capturing the pixel data and a turn on time of a structured light pattern to obtain a sequence of images comprising at least one image including the structured light pattern and at least one image where the structured light pattern is absent. The control circuit may be further configured to perform a depth analysis to generate depth information using the at least one image including the structured light pattern. The control circuit may store and execute an artificial neural network trained to (i) discern whether a face is at least one of a real face and a fake face, and (ii) make a liveness determination utilizing the depth information.

Abstract: In a method of video encoding for an encoder, a determination is made to determine whether (i) an implicit transform scheme is enabled, and (ii) at least one of a low-frequency non-separable transform (LFNST) and a matrix-based intra predication mode (MIP) is invalid for a coding unit (CU). In response to the determination that the implicit transform scheme is enabled, and at least one of the LFNST and MIP is invalid, a primary transform type is determined based on a size of the CU. A primary transform is performed for a transform block that is partitioned from the CU in accordance with the determined primary transform type. A coded bitstream that indicates the primary transform type of the CU is subsequently output.

Abstract: In various embodiments, an encoder comparison application compares the performance of different configured encoders. In operation, the encoder comparison application generates a first global convex hull of video encode points based on a first configured encoder and a set of subsequences included in a source video sequence. Each video encode point is associated with a different encoded version of the source video sequence. The encoder comparison application also generates a second global convex hull of video encode points based on a second configured encoder and the subsequences. Subsequently, the encoder configuration application computes a performance value for an encoding comparison metric based on the first global convex hull and the second global convex hull. Notably, the first performance value estimates a difference in performance between the first configured encoder and the second configured encoder.

Abstract: An improvement in coding efficiency is achieved through restrictions on successive divisions of asymmetric splitting in advanced video coding algorithms, which frequently rely on splitting of a block of video data prior to coding using several transform sizes. Successive divisions of asymmetric splitting are forbidden if an equivalent split can be attained using triple splitting. In an embodiment, a video block is split using successive splits, but the second type of split is dependent on the first type of split.

Abstract: A method, computer program, and computer system is provided for aligning across layers in a coded video stream. A video bitstream having multiple layers is decoded. One or more subpicture regions are identified from among the multiple layers of the decoded video bitstream, the subpicture regions including a background region and one or more foreground subpicture regions. An enhanced subpicture is decoded and displayed based on a determination that a foreground subpicture region is selected. The background region is decoded and displayed based on a determination that a foreground subpicture region was not selected.

Abstract: Techniques are provided for vision-based altitude estimation using one or more platform mounted cameras. An embodiment includes generating projected ground imagery of imagery provided by cameras of the platform, the projection based on a hypothesized altitude. The method also includes obtaining reference ground imagery based on the location of the platform, the location based on platform navigation data. The method further includes registering the projected ground imagery to the reference ground imagery and generating a match score associated with the registration. The method further includes selecting the hypothesized altitude as the estimated altitude based on the match score (e.g., if the match score exceeds a threshold value or is maximized over a set of hypothesized altitudes.

Abstract: A method, computer program, and computer system is provided for video coding. Video data comprising a chroma component and a luma component is received. Luma samples are extracted from the luma component of the received video data. The chroma component is filtered based on the extracted luma samples using a cross-component adaptive loop filter (CC-ALF). Coefficients associated with the CC-ALF are constrained to be less than a sum of a bit-depth value associated with the luma samples and a positive offset value.

Abstract: Systems and techniques are described herein for processing video data. For example, a process can include obtaining a video bitstream, the video bitstream including adaptive loop filter (ALF) data. The process can further include determining a value of an ALF chroma filter signal flag from the ALF data, the value of the ALF chroma filter signal flag indicating whether chroma ALF filter data is signaled in the video bitstream. The process can further include processing at least a portion of a slice of video data based on the value of the ALF chroma filter signal flag.

Abstract: An example method of video processing includes making a determination, for a conversion between a current video block of a video and a bitstream representation of the video, whether a cross-component adaptive loop filtering tool is enabled for the current video block based on a color property of the video. The method also includes performing the conversion according to the determination.

Abstract: A vehicle monitoring system includes at least one camera, and a server that is communicably connected to a client terminal. The camera performs capturing a vehicle while switching a first capturing condition including an image parameter for capturing a number of the vehicle entering an angle of view of the camera and a second capturing condition including an image parameter for capturing an occupant's face of the vehicle, and transmits a first captured video under the first capturing condition and a second captured video under the second capturing condition to the server. The server arranges reproduction screens for the first captured video and the second captured video that are reproduceable in the client terminal and displays the reproduction screens on the client terminal based on the first captured video and the second captured video.

Abstract: An apparatus and a method for filtering reconstructed images, in particular, video images, with adaptive multiplicative filters. The efficiency of the filtering operation is increased by restricting the allowable values of the filter coefficients to those that have only a limited number of “ones” in the binary representation.

Abstract: The present technology relates to an image processing device and an image processing method by which various DFs can be provided. A reduced second luminance filter having a reduced filter characteristic with respect to a second luminance filter having a higher filter strength than a first luminance filter, or a reduced first luminance filter having a reduced filter characteristic with respect to the first luminance filter is applied, as a second color-difference filter having a higher filter strength than a first color-difference filter, to a pixel of a color-difference component located around a block boundary in a decoded image. The present technology is applicable to image encoding and decoding, for example.

Abstract: An autonomous mobile device (AMD) in a physical space uses its own reflection to detect and map reflective surfaces. A first image is acquired by a camera of the AMD at a first time while a light on the AMD is turned on. The first image is processed to find a candidate reflection, characterized by a bright spot in the image. A second image is acquired at a second time while the light is off. The reflection is confirmed by absence of the candidate reflection in the second image. A display on the AMD presents a displayed image at a third time. A third image acquired during the third time is processed to find the features of the displayed image. Once found, a location and orientation in physical space of a plane of the surface causing the reflection is calculated. An occupancy map is updated to include this information.