Abstract: The embodiments relate to a method for encoding and decoding, and to apparatuses for the same. The method for encapsulating includes receiving a visual volumetric video-based coding bitstream containing common atlas bitstream and one or more atlas bitstreams; storing the common atlas bitstream and the one of the one or more atlas bitstreams in samples of one track or in an item data of one item in a file; providing a signaling in the file that indicates that the samples of the one track or the item data of the one item contains both common atlas data and atlas data; and writing in the file the signaling and the samples of the one track or the item data of the one item containing both common atlas data and atlas data. The embodiments also relate to a method for decapsulating and apparatuses for implementing the method for encapsulating and decapsulating.

Abstract: There is provided a method of automatically detecting paint anomalies on a vehicle, comprising: operating illumination elements configured for generating illuminations of different types at first different frequency bands and/or at first different polarization angles, positioned for illuminating the vehicle, operating image sensors for capturing the images, wherein the image sensors are of different modalities configured for sensing at second different frequency bands and/or at second different polarization angles configured for capturing images of a vehicle, extracting features from the images, generating a multi-dimensional dataset by aggregating the features, feeding the multi-dimensional dataset into a machine learning model, obtaining from the machine learning model, an indication of a region of the vehicle with a paint anomaly, generating an enhanced image depicting the region of the vehicle with the paint anomaly overlaid with a visual indication of the region with the paint anomaly, and presenting the

Abstract: Methods, apparatuses, and systems for haptic signal processing are provided and include receiving a media stream comprising data in a haptics interchange format, obtaining, from the data in the haptics interchange format of the media stream, a syntax of an ISOBMFF haptic sample, wherein the syntax indicates a variable value of a data_packet_type of the media stream, and decoding the media stream based on the syntax.

Abstract: A method and an apparatus for converting film grain metadata are provided. In an embodiment, a first film grain metadata is obtained, the first film grain metadata complying with a first film grain syntax and being representative of a first film grain model. At least one part of the first film grain metadata is converted to at least one part of a second film grain metadata, the second film grain metadata complying with a second film grain syntax and being representative of a second film grain model, wherein the second film grain syntax is different from the first film grain syntax, or the second film grain model is different from the first film grain model, or both the second film grain syntax and the second film grain model are different from the first film grain syntax and the first film grain model.

Abstract: An apparatus configured to encode video data is configured to receive a first picture captured at a first time and a first location, receive a second picture captured at a second time and a second location, wherein the second time is different from the first time, and wherein the second location is different than the first location, and encode a current block of the second picture, relative to the first picture, using affine motion prediction with a single parameter search, wherein the single parameter search is performed along an epipolar curve, and wherein the single parameter search is used to determine parameters of an affine motion model.

Abstract: The present disclosure provides a decoding method and apparatus, a coding method and apparatus, and a device. The method comprises: on the basis of on a first code stream corresponding to a current block, acquiring a target probability distribution model corresponding to a first scaling factor; on the basis of the target probability distribution model corresponding to the first scaling factor, decoding a second code stream corresponding to the current block, to obtain a corrected residual feature corresponding to the current block; and, on the basis of the corrected residual feature, determining a reconstructed image block corresponding to the current block. The present disclosure improves the coding performance and the decoding performance.

Abstract: A method for extracting urban flood inundation extent based on remote sensing images includes: acquiring and preprocessing a Fengyun-4 satellite remote sensing image to obtain a preprocessed remote sensing image, and dividing the preprocessed remote sensing image into a thin cloud area and a thick cloud area; removing thin clouds and thick clouds in the preprocessed remote sensing image; extracting a first water body area from the cloud-removed remote sensing image to obtain a first urban inundation extent; acquiring a radar image at a same region and a same time as the remote sensing image, and extracting a second water body area from the radar image to obtain a second urban inundation extent; and training a super-resolution convolutional neural network according to the first urban inundation extent and the second urban inundation extent, and using a trained super-resolution convolutional neural network to obtain a reconstructed higher-resolution urban flood inundation extent.

Abstract: An example method of video coding includes receiving a video bitstream for a plurality of encoded pictures. The method also includes deriving, using frame interpolation, a reconstruction picture for an encoded picture of the plurality of encoded pictures. The method further includes determining, based on a signaled indicator in the video bitstream, whether one or more quantization parameters for the encoded picture are signaled in the video bitstream. When the signaled indicator indicates that the one or more quantization parameters are signaled in the video bitstream, the one or more quantization parameters are parsed from the video bitstream. When the signaled indicator indicates that the one or more quantization parameters are not signaled in the video bitstream, the one or more quantization parameters are derived at the decoder.

Abstract: An indication of a start point of a user interface gesture on an image of a displayed stream from a camera is received. A visual overlay representing a direction and a magnitude of the user interface gesture is provided as the user interface gesture is updated while maintaining current pan and tilt settings of the displayed stream. An indication of an end point of the user interface gesture is received. Amplitudes of changes for the current pan and tilt settings are determined based on the user interface gesture. Pan and tilt control instructions are generated based on the determined amplitude of changes. The generated pan and tilt control instructions are provided to a camera controller for physically modifying pan and tilt of the camera.

Abstract: A system and method for video and feature coding of neural-network structures used for multi-task machine learning includes an encoder, decoder and a decoder-compliant bitstream. A task-specific video decoder includes a first decoder receiving a bitstream having at least one feature and a description of a neural network backbone used to generate the bitstream, and a task-specific neural network head. The neural network head recreates the neural network backbone from the description, receives a feature from the bitstream a generates a task-specific output.

Abstract: Examples of video encoding methods and apparatus and video decoding methods and apparatus are described. An example method of video processing includes performing a conversion between a video including multiple layers and a bitstream of the video according to a rule, wherein the rule specifies that, in a first process of sub-bitstream extraction to output a first output sub-bitstream, the first output sub-bitstream is extracted without removing network abstraction layer (NAL) units of a particular type and having a particular NAL unit header identifier value, and wherein the particular type includes an access unit delimiter (AUD) NAL unit.

Abstract: A display terminal includes circuitry that: displays a predetermined-area moving image; receives designation of a first object visible in a first predetermined-area moving image being a predetermined-area moving image in a first display area and representing a first predetermined area of the wide-view moving image; receives designation of a second object visible in a second predetermined-area moving image being a predetermined-area moving image in a second display area and representing a second predetermined area of the wide-view moving image; displays the first predetermined-area moving image such that movement of the first object is tracked to make the first object continuously visible in the first predetermined-area moving image within the first display area; and displays the second predetermined-area moving image such that movement of the second object is tracked to make the second object continuously visible in the second predetermined-area moving image within the second display area.

Abstract: A method implemented by a video coding apparatus includes applying a neural network (NN) filter to an unfiltered sample of a video unit to generate a filtered sample. The NN filter is applied based on a syntax element of the video unit. The method also includes converting between a video media file and a bitstream based on the filtered sample that was generated.

Abstract: There is provided an information processing apparatus, an information processing method, and a system that can give a more highly entertaining experience by pursuing both image-capturing of a subject and displaying of images around the subject. The information processing apparatus includes a control section that performs control of image-capturing with multiple image-capturing sections for acquiring three-dimensional information regarding a subject and display control to display an image acquired from an outside in one or more display regions positioned around the subject, in which the control section performs control such that a timing when the image-capturing is performed and a timing when the image acquired from the outside is displayed in the display regions are made different from each other.

Abstract: The present subject matter provides a media file packing and unpacking method, apparatus and device, and a storage medium. Code streams after N items are coded. The items comprise point clouds or static panoramic images. N is a positive integer greater than 1. The code streams of the N items are packed into at least one entity group. A first indication information is added to the entity group with regard to each entity group in at least one entity group to obtain media files of the N items. The first indication information indicates the types of all items having an association relation in the entity group. The media files of the N items are transmitted to the file unpacking device.

Abstract: Provided is a method for capturing video, the method including during a process of capturing video content, based on detecting missing-object content in which a target object is not included in a frame, using video content recorded prior to the missing-object content to obtain information regarding a location of the target object, a timestamp of the video content recorded prior to the missing-object content being earlier than a timestamp of the missing-object content, based on the location information obtained for the target object, adjusting a recording equipment's capturing direction, obtaining a post-adjustment recording direction of the recording equipment, decreasing a zoom factor of the recording equipment and obtaining a post-decrease zoom factor, and performing reidentification of the target object and continuing to capture video content with the target object included in the frame based on at least one of the post-decrease zoom factor and the post-adjustment recording direction.

Abstract: A video coding mechanism is disclosed. The mechanism includes receiving a bitstream comprising one or more layers and a scalable nesting supplemental enhancement information (SEI) message. The scalable nesting SEI message includes one or more scalable-nested SEI messages and a scalable nesting output layer set (OLS) flag. The scalable nesting OLS flag is set to specify whether the scalable-nested SEI messages apply to specific OLSs or specific layers. A coded picture is decoded from the one or more layers to produce a decoded picture. The decoded picture is forwarded for display as part of a decoded video sequence.

Abstract: The present technology provides a method and apparatus for processing a frame sequence, and a system for treating visual dysfunction. The method comprises: acquiring original frame sequences of a left eye channel and a right eye channel, the original frame sequences comprising a number of groups of consecutive frames, and each group of consecutive frames comprising a variety of repetition frames; and replacing part of the repetition frames in the left eye channel and/or the right eye channel with mask frames, and obtaining target frame sequences of the left eye channel and the right eye channel.

Abstract: A method of mesh processing includes receiving coded information of a mesh, the coded information including position connectivity of a plurality of 3D vertices of a mesh in a 3D space, and a correspondence of the plurality of 3D vertices to UV vertices in a UV space for the mesh; determining UV connectivity of the UV vertices; determining, based on the coded information, a first initial UV vertex in a first UV chart in the plurality of UV charts; determining first UV vertices in the first UV chart according to a traversing order of 3D vertices corresponding to the first UV vertices in the first UV chart, the traversing order starting from the first initial UV vertex and traversing each UV vertex in the first UV chart; decoding, from the coded information, prediction residuals of the first UV vertices; and determining first UV coordinates of the first UV vertices accordingly.

Abstract: Methods and system of multiview video rendering, preparing a multiview video cache, and real-time multiview video conversion employ video information having multiview frames corresponding to multiview video timestamps to generate views of a multiview frame using cache data entries of a multiview video cache corresponding to a target time stamp. The cache data entries may include a first cache data entry corresponding to a first multiview frame preceding the target timestamp and a second cache data entry corresponding to a second multiview frame following the target timestamp. The target timestamp for a particular multiview frame to be rendered may be based on a user input. The system may include a processor circuit and a memory that stores a plurality of instructions that, when executed by the processor circuit, cause the processor circuit to perform one or both of multiview video rendering and preparing a multiview video cache.