Abstract:
In an example method, a system obtains first data representing a plurality of polygons of a polygon mesh, and performs several operations for each of the polygons, including (i) determining a number of sample points for that polygon, where the number of sample points is determined based on at least one of an area of that polygon or an area of the polygon mesh, (ii) determining a distribution of the sample points for that polygon, and (iii) sampling the polygon mesh in accordance with the determined number of sample points and the determined distribution of sample points, where sampling the polygon mesh includes determining one or more characteristics of the polygon mesh at each of the sample points. The system also outputs second data representing the one or more characteristics of the polygon mesh at one or more of the sample points.
Abstract:
A system comprises an encoder configured to compress attribute information and/or spatial 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. Additionally, an encoder is configured to signal and/or a decoder is configured to receive a supplementary message comprising volumetric tiling information that maps portions of 2D image representations to objects in the point. In some embodiments, characteristics of the object may additionally be signaled using the supplementary message or additional supplementary messages.
Abstract:
In a communication system, parallel encoding and decoding of serially-coded data occurs in a manner that supports low latency communication. A plurality of data items may be coded as serially-coded data sequences and a transmission sequence may be built from them. An index table may be built having a plurality of entries representing respective start points of the serially- coded data sequences within the transmission sequence. The transmission sequence may be transmitted to a channel and, thereafter, the index table may be transmitted. Latencies otherwise involved in inserting an index table into the beginning of a transmission sequence may be avoided.
Abstract:
Techniques for coding and decoding video may include predicting picture regions defined by a time-varying tessellation and/or by a tessellation that varies spatially within a picture. These techniques improve decoded video quality, for example, by reducing block-based visual artifacts. Tessellation patterns may be irregular spatially to prevent alignment of some prediction region boundaries within a picture. Tessellation patterns may vary over time based on a spatial offset value, and the spatial offset value may be determined via a modulo function. Tessellation patterns may include overlapped shapes, for example when used in conjunction with overlapped block motion compensation.
Abstract:
A system comprises an encoder configured to compress attribute information and/or spatial 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.
Abstract:
In a coding system, an encoder codes video data according to a predetermined protocol, which, when decoded causes an associated decoder to perform a predetermined sequence of decoding operations. The encoder may perform local decodes of the coded video data, both in the manner dictated by the coding protocol that is at work and also by one or more alternative decoding operations. The encoder may estimate relative performance of the alternative decoding operations as compared to a decoding operation that is mandated by the coding protocol. The encoder may provide identifiers in metadata that is associated with the coded video data to identify such levels of distortion and/or levels of resources conserved. A decoder may refer to such identifiers when determining when to engage alternative decoding operations as may be warranted under resource conservation policies.
Abstract:
An encoder or decoder can perform enhanced motion vector prediction by receiving an input block of data for encoding or decoding and accessing stored motion information for at least one other block of data. Based on the stored motion information, the encoder or decoder can generate a list of one or more motion vector predictor candidates for the input block in accordance with an adaptive list construction order. The encoder or decoder can predict a motion vector for the input block based on at least one of the one or more motion vector predictor candidates.
Abstract:
A system receives encoded data regarding a points in a point cloud. The data includes a prediction tree having a nodes generated based on spatial information regarding the points and properties of a sensor system that obtained the spatial information. A value of each node represents first spatial coordinates of a respective one of the points according to a first coordinate system, and the value of at least a first node in the prediction tree is determined based on ancestor nodes of the first node and the properties of the sensor system. The system decodes the data to determine first data, including the first spatial coordinates of at least some of the points, and quantization parameters associated with the first spatial coordinates. The system determines second data based on the first data, including second spatial coordinates of at least some of the points according to a second coordinate system.
Abstract:
An encoder is configured to compress point cloud information using a blocks of nodes determined from a prediction tree. A prediction tree is generated for a point cloud. Segments of the prediction tree are identified. The segments are divided into blocks that are predicted by predecessor blocks within the segments. The blocks of the prediction tree may then be encoded and may be provided for transmission to a decoder that can regenerate the point cloud from the blocks of the prediction tree.
Abstract:
An encoder is configured to compress point cloud geometry information using a prediction tree. Ancestor nodes of a node added to the prediction tree may be used to determine the predicted value of the node to be added according to a prediction technique. The prediction tree may be encoded and may be provided for transmission to a decoder that can regenerate the point cloud.