Abstract: The present application provides a method and a device of encoding and decoding based on free viewpoint, and relates to the technical field of video encoding. The method includes: generating a planar splicing image and splice information based on multiple single-viewpoint videos at a server side; generating a planar splicing video based on the planar splicing image; generating camera side information of the planar splicing video based on camera side information existing in the multiple single-viewpoint videos; and encoding the planar splicing video, the splice information and the camera side information of the planar splicing video to generate a planar splicing video bit stream, and decoding a planar splicing video bit stream to acquire a virtual viewpoint according to viewpoint information of a viewer at client side.

Abstract: A method of decoding encoded information of a point cloud may be performed by at least one processor and comprises: obtaining an encoded bitstream, the encoded bitstream including encoded information of a point cloud including a set of points in a three-dimensional space; and determining a type of partitioning used to encode the information of the point cloud by at least one of parsing signals of at least three binary syntaxes or inferring at least one syntax of the at least three binary syntaxes.

Abstract: A method, a non-transitory computer readable medium, and a computer system is provided for encoding or decoding video data. The method may include: receiving an entropy coded bitstream comprising compressed video data including point cloud occupancy codes; generating one or more dequantized dimensions of a boundary box of a point cloud; based on determining that the compressed video data was predicted by using the attribute-based predictor, determining a predictor for decoding is the attribute-based predictor; based on determining that the compressed video data was predicted by using the attribute-based predictor, determining the predictor for decoding is the geometry-based predictor; and building an octree structure by using the determined predictor.

Abstract: A system for controlling configuration settings for mobile data communication devices and services includes a redirection server and a policy generation system. The redirection server detects a triggering event in a host system and in response to the triggering event continuously redirects data items from the host system to a wireless network. Each mobile data communication device receives data items from the wireless network and includes a device configuration stored in a memory location on the mobile data communication device. The device configuration of each mobile data communication device controls one or more functions of the mobile data communication device. The policy generation system receives a policy setting from a user interface and stores the policy setting in a user information record associated with a mobile data communication device.

Abstract: A method and apparatus for coding information of a point cloud that includes obtaining the point cloud including a set of points in a three-dimensional space; determining whether a current node in the set of points is isolated; and coding the current node in isolation mode based on a determination that the current node is isolated and coding the current node in non-isolation mode, based on a determination that the current node is not isolated.

Abstract: The application discloses a method, system, device and computer-readable storage medium for inverse quantization, wherein, in some embodiments, determining an initial weighted inverse quantization matrix, wherein, the initial weighted inverse quantization matrix is the same as the quantized block in size; setting some matrix elements in the initial weighted inverse quantization matrix to zero to obtain a weighted inverse quantization matrix, wherein, determining the matrix elements that need to be zeroed according to the size of the quantized block; weighted inverse quantizing the quantized coefficients in the quantized block to generate corresponding inverse transform coefficients, wherein, the value of the matrix element corresponding to the position of the quantized coefficient in the weighted inverse quantization matrix is used as a weight coefficient of the weighted inverse quantization.

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: Disclosed are a panoramic video asymmetrical mapping method and a corresponding inverse mapping method that include mapping a spherical surface corresponding to a panoramic image or video A onto a two-dimensional image or video B, projecting the spherical surface onto an isosceles quadrangular pyramid with a square bottom plane, and further projecting the isosceles quadrangular pyramid onto a planar surface, using isometric projection on a main viewpoint region in the projection and using a relatively high sampling density to ensure that the video quality of the region of the main viewpoint is high, while using a relatively low sample density for non-main viewpoint regions so as to reduce bit rate. The panoramic video asymmetrical inverse mapping technique provides a method for mapping from a planar surface to a spherical surface, and a planar surface video may be mapped back to a spherical surface for rendering and viewing.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data including a reference view and a current view is received. A co-located block in the reference view is identified for a current block in the current view. A predicted block vector is calculated based on an offset vector between the current block and the co-located block, and a disparity vector between the co-located block and the reference block in the reference view. The video data is encoded/decoded based on the calculated predicted block vector.

Abstract: Embodiments of the present disclosure provide a method and device for selecting a context model of a quantized coefficient end flag. The method comprises: obtaining a scanning position POS of a non-zero coefficient corresponding to current quantized coefficient end flag in a specific scanning order; wherein the scanning position POS is a subscript of the non-zero coefficient in the scanning order; configuring a first context model array, and using a fixed value as the base to calculate the logarithmic value of the value of the scanning position POS plus 1, and according to the logarithmic value, selecting a first context model from the first context model array; and using the first context model to encode or decode a binary symbol of the current quantized coefficient end flag. According to the technical solution of the present application, it is able to improve encoding and decoding efficiency for a quantized coefficient end flag, thereby further improve the efficiency of video encoding and decoding.

Abstract: A method, computer program, and computer system is provided for point cloud coding. The method includes receiving, from a bitstream, data corresponding to a point cloud; reconstructing, based on the data, a first attribute value of a first duplicate point from among a plurality of duplicate points corresponding to a single geometry position; obtaining at least one prediction residual corresponding to at least one remaining attribute value of at least one remaining duplicate point from among the plurality of duplicate points; reconstructing the at least one remaining attribute value based on the reconstructed first attribute and the at least one prediction residual; and decoding the data corresponding to the point cloud based on the reconstructed first attribute value and the reconstructed at least one remaining attribute value.

Abstract: A method, computer program, and computer system is provided for video coding. Video data including one or more views is received. A composite depth image and a composite texture image corresponding to the one or more views are generated based on the received video data. The video data is decoded based on the generated composite depth image and composite texture image.

Abstract: A method, computer program, and computer system is provided for decoding point cloud data. Data corresponding to a point cloud is received. A number of contexts associated with the received data is reduced based on reducing a size of an array corresponding to syntax elements for predictive tree-based coding of the point cloud. The data corresponding to the point cloud is decoded based on the reduced number of contexts.

Abstract: The present disclosure discloses an inverse tone mapping method, system, device and computer readable medium The method of embodiment of the present application comprises: decomposing the original image into an illumination component and a reflection component, wherein the illumination component represents a global illumination condition of the image, the reflection component representing a color and texture detail of the image; recovering the illumination component to obtain a result of illumination component recovery; recovering the reflection component to obtain a result of reflection component recovery; combining the result of the illumination component recovery and the result of the reflection component recovery to obtain a recovery result image. Compared with the prior art, the inverse tone mapping method according to the embodiment of the present invention can greatly improve the effect of the image recovery.

Abstract: A method, computer program, and computer system is provided for point cloud coding. Data corresponding to a point cloud is received. Hash elements corresponding to attribute values associated with the received data is reconstructed. A size of a hash table may be decreased based on deleting one or more of the hash elements corresponding to non-border regions associated with the attribute values. The data corresponding to the point cloud is decoded based on the reconstructed hash elements.

Abstract: A method, computer program, and computer system is provided for point cloud coding. The method includes receiving, from a bitstream, data corresponding to a point cloud; obtaining from the data a first prediction residual of a first component from among a plurality of components of an attribute associated with the point cloud; reconstructing the first prediction residual; determining a predicted second prediction residual based on the reconstructed first prediction residual and at least one model parameter; obtaining a second prediction residual of a second component from among the plurality of components based on the predicted second prediction residual; reconstructing the second prediction residual; and decoding the data corresponding to the point cloud based on the reconstructed first prediction residual and the reconstructed second prediction residual.

Abstract: A method of decoding encoded information of a point cloud may be performed by at least one processor and comprises: obtaining an encoded bitstream, the encoded bitstream including encoded information of a point cloud including a set of points in a three-dimensional space; and determining a type of partitioning used to encode the information of the point cloud by at least one of parsing signals of at least three binary syntaxes or inferring at least one syntax of the at least three binary syntaxes.

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 is decoded from a coded bitstream. The syntax information indicates that parallel decoding is to be performed on occupancy codes of nodes in a range of one or more partitioning depths in an octree partitioning structure of the point cloud is determined. The parallel decoding is performed on the occupancy codes of the nodes. The point cloud is reconstructed based on the occupancy codes of the nodes.

Abstract: The present application provides methods, systems, devices and computer-readable mediums for encoding and decoding transform. A method of the present application comprises: performing transform-encoding on a prediction residual block separately using a plurality of transform matrices, to obtain transformed residual blocks; based on the transformed residual block, determining, by a rate-distortion optimization decision, a transform matrix or a combination of transform matrices matching the residual characteristics of the prediction residual block from the plurality of transform matrices, and determining a transformed residual block to be outputted in a bitstream. Compared with the prior art, the method of the embodiments of the present invention performs a residual transform using transform matrices that are more closely matched with the residual characteristic, thereby improving the expression of the residual signal and improving the coding efficiency of the residual block.

Abstract: An image feature extraction method for person re-identification includes performing person re-identification by means of aligned local descriptor extraction and graded global feature extraction; performing the aligned local descriptor extraction by processing an original image by affine transformation and performing a summation pooling operation on image block features of same regions to obtain an aligned local descriptor; reserving spatial information between inner blocks of the image for the aligned local descriptor; and performing the graded global feature extraction by grading a positioned pedestrian region block and solving a corresponding feature mean value to obtain a global feature. The method can resolve the problem of feature misalignment caused by posture changes of pedestrian, etc., and eliminate the effect of unrelated backgrounds on re-recognition, thus improving the precision and robustness of person re-identification.