Abstract: Aspects of the disclosure provide methods, apparatuses, and a non-transitory computer-readable medium for point cloud compression and decompression. In some examples, an apparatus for point cloud compression/decompression includes processing circuitry. The processing circuitry determines, for each point in a first point cloud, a corresponding point in a second point cloud. The first point cloud is a processed point cloud based on the second point cloud. The processing circuitry determines, for each point in the first point cloud, a corresponding error vector based on the corresponding point in the second point cloud. The processing circuitry determines, for each point in the first point cloud, a corresponding weight factor based on a position of the respective point in the first point cloud. The processing circuitry determines a quality metric for the first point cloud based on the error vectors and the weight factors.

Abstract: Aspects of the disclosure provide methods and apparatuses for point cloud compression. In some examples, an apparatus for point cloud compression includes processing circuitry. The processing circuitry determines a plurality of original points in a point cloud that is quantized to a reconstructed position. The processing circuitry determines an attribute value of the reconstructed position based on attribute information of the plurality of original points. Further, the processing circuitry encodes the point cloud based on the determined attribute value of the reconstructed position.

Abstract: A method and system for codec of visual feature data is provided. First protocol format visual feature data generated by an intelligent front end and a certificate identity used to uniquely identify a corresponding first protocol format are received. The first protocol format visual feature data is converted to a same type of second protocol format visual feature data according to the certificate identity. The second protocol format visual feature data is received and parsed according to the second protocol format to obtain original visual feature data that are generated by the intelligent front end and contained in the first protocol format visual feature data.

Abstract: An embodiment of the present description provides a decoding method and device for a quantization block as well as an electronic device.

Abstract: A method for coding information of a point cloud comprises obtaining the point cloud including a set of points in a three-dimensional space; partitioning the point cloud into a plurality of objects and generating occupancy information for each of the plurality of objects; and encoding the occupancy information by taking into account the distance between the plurality of objects.

Abstract: Aspects of the disclosure provide methods, apparatuses, and a non-transitory computer-readable medium for point cloud compression and decompression. In a method, syntax information of a point cloud in a quantized space is decoded from a coded bitstream. The syntax information includes dividing information and adaptive geometry quantization information for a bounding box of the point cloud. The bounding box of the point cloud is divided into a plurality of parts based on the dividing information. Quantization parameters for the parts in the bounding box are determined based on the adaptive geometry quantization information. Points in each of the parts in the bounding box of the point cloud are reconstructed based on the quantization parameter for the respective part in the bounding box.

Abstract: An apparatus for point cloud compression includes processing circuitry. The processing circuitry represents points in a point cloud using a spherical coordinate system having a first angular dimension, a second angular dimension and a radial dimension. A point is represented by a first angular coordinate in the first angular dimension, a second angular coordinate in the second angular dimension, a radial coordinate in the radial dimension and at least an attribute value. The processing circuitry forms at least a two-dimensional (2D) matrix with a first dimension corresponding to the first angular dimension and a second dimension corresponding to the second angular dimension. The point is placed as an element in the 2D matrix based on the first angular coordinate and the second angular coordinate. Further, the processing circuitry compresses data of the 2D matrix, and generates a bitstream that includes compressed data of the 2D matrix.

Abstract: A method of point cloud geometry encoding includes receiving a slice of a point cloud frame for encoding, and constructing an octree representing a geometry of points in a bounding box of the slice where a current node of the octree is partitioned with a quadtree (QT) partition or a binary tree (BT) partition. The constructing includes determining a value of a partitionSkip variable specifying a partition type and a partition direction of the current node of the octree.

Abstract: In a method of point cloud geometry decoding in a point cloud decoder, chroma prediction residual information of a point in a set of points is received from a coded bitstream for a point cloud that includes the set of points. The chroma prediction residual information includes a Cb component and a Cr component. Further, a type of correlation between the Cb component and the Cr component of the chroma prediction residual information is determined by processing circuitry and from the coded bitstream for the point cloud. The chroma prediction residual information is decoded based on the type of the correlation between the Cb component and the Cr component of the chroma prediction residual information.

Abstract: Aspects of the disclosure provide methods and apparatuses for use in video coding for machines. In some examples, an apparatus of video coding for machines includes processing circuitry. The processing circuitry determines a first picture quality vs. coding efficiency characteristic for a first coding scheme of video coding for machines (VCM), and a second picture quality vs. coding efficiency characteristic for a second coding scheme of VCM. Then, the processing circuitry determines a Bjøntegaard delta (BD) metric for a comparison of the first coding scheme and the second coding scheme, based on the first picture quality vs. coding efficiency characteristic and the second picture quality vs. coding efficiency characteristic.

Abstract: An embodiment of the present disclosure discloses an intra-prediction-based encoding and decoding method, apparatus and filter, and belongs to a video coding technical field.

Abstract: A production line for producing components to a high standard of cleanliness and sealed and protected in that state includes a loading device, a cleaning device, a detecting device, a pasting device, a heat-sealing device, a packing device, and transfer devices of the production line. The production line automatically processes the components for obtaining components with the high cleanliness. By the processes of protective film pasting, heat-sealing, and packing, the components may be further protected from subsequent pollution. A method for producing components with a high cleanliness applied to the production line is also disclosed.

Abstract: In a method of point cloud attribute decoding in a point cloud decoder, a sorting method of a set of points of a point is determined. A quantization parameter for quantizing transform coefficients of a Haar-based attribute coding of the point cloud is determined based on first signaling information in a coded bitstream of the point cloud. The Haar-based attribute coding is configured to perform point cloud compression on the set of points of the point cloud based on a Haar transform. An entropy decoding method for decoding the quantized transform coefficients is determined according to the quantization parameter that is determined based on the first signaling information. The quantized transform coefficients are further determined based on the entropy decoding method. Attributes of the point cloud are reconstructed based on the determined sorting method and the determined quantized transform coefficients.

Abstract: Aspects of the disclosure include methods, apparatuses, and non-transitory computer-readable storage mediums for point cloud compression. An apparatus includes processing circuitry that encodes information associated with a current point of a plurality of points of a point cloud. The plurality of points is partitioned into multiple bounding boxes. The processing circuitry determines whether a first size of a hash table is greater than or equal to a predetermined maximum size of the hash table. The processing circuitry removes information associated with non-boundary points in the multiple bounding boxes from the hash table based on the first size of the hash table being greater than or equal to the predetermined maximum size of the hash table. The processing circuitry stores the encoded information associated with the current point into the hash table.

Abstract: A method, computer program, and computer system is provided for video coding. Video data including one or more frames is received. A static background is estimated for each of the one or more frames based on a temporal average of the one or more frames. Pixels from among the one or more frames are identified as corresponding to the static background. Noise is removed in the static background based on the identified pixels.

Abstract: A method, computer program, and computer system is provided for decoding point cloud data. Data corresponding to a point cloud is received. Hash elements corresponding to one or more neighboring nodes associated with a current node are identified. A size of a hash table is decreased based on deleting one or more of the hash elements corresponding to non-border regions of the one or more neighboring nodes. The data corresponding to the point cloud is decoded based on the hash table having the decreased size.

Abstract: Aspects of the disclosure provide methods, apparatuses, and a non-transitory computer-readable medium for point cloud compression and decompression. In a method, an octree partitioning structure for a bounding box of a point cloud is determined. Whether parallel encoding is to be performed on occupancy codes of nodes in a range of one or more partitioning depths in the octree partitioning structure is determined. The parallel encoding on the occupancy codes of the nodes is performed in response to the parallel encoding being determined to be performed on the occupancy codes of the nodes in the range of the one or more partitioning depths in the octree partitioning structure. A coded bitstream is generated based on the encoded occupancy codes of the nodes. The coded bitstream includes syntax information that indicates whether parallel decoding is to be performed on the occupancy codes of the nodes in the range.

Abstract: A method for coding information of a point cloud comprises obtaining the point cloud including a set of points in a three-dimensional space; partitioning the point cloud into a plurality of objects and generating occupancy information for each of the plurality of objects; and encoding the occupancy information by taking into account the distance between the plurality of objects.

Abstract: Aspects of the disclosure provide methods and apparatuses for point cloud compression. In some examples, an apparatus for point cloud compression includes processing circuitry. In some embodiments, the processing circuitry determines one or more original points in a point cloud that are associated with a reconstructed position. Positions of the one or more original points can be reconstructed, according to a geometry quantization, to the reconstructed position. The processing circuitry then determines an attribute value for the reconstructed position based on attribute information of the one or more original points, and encodes texture of the point cloud with the reconstructed position having the determined attribute value.

Abstract: Provided are a point cloud attribute prediction method and prediction device based on a filter. The method comprises a coding method and a decoding method, and the device comprises a coding device and a decoding device. The method comprises: determining K nearest neighbor points of the current point; determining a filter matrix; and determining an attribute prediction value of the current point according to the filter matrix. Therefore, the compression performance of a point cloud attribute can be improved by means of selecting an appropriate filter.