Abstract: Some embodiments of a method may include: estimating distribution statistics for a 3D Gaussian Splatting model corresponding to one or more 3D Gaussian Splatting parameters, wherein the distribution statistics comprise a distribution model; performing quantization of the one or more 3D Gaussian Splatting parameters; and encoding the quantized one or more 3D Gaussian Splatting parameters based on the estimated distribution statistics.

Abstract: In one implementation, a method of decoding point cloud data is presented, comprising: decoding features representing voxel attributes in an octree structure, wherein a decoded feature for a current voxel is representative of at least a set of voxels that are still to be reconstructed; determining an attribute probability of the current voxel based on the decoded feature for the current voxel; decoding attribute information of voxels in the octree structure, wherein the attribute information for the current voxel is decoded based on the attribute probability for the current voxel; and reconstructing the point cloud based on the attribute information of voxels in the octree structure. On the encoder side, the features are extracted and encoded into the bitstream.

Abstract: In one implementation, a method for reconstructing attributes of a current point cloud frame from a sequence of point cloud frames is provided wherein a predicted feature map from attributes of a reference point cloud frame is obtained, a residual feature map is decoded from a bitstream, a feature map is reconstructed that represents voxel attributes at a current level in an octree structure of the current point cloud frame, from the decoded residual feature map and the predicted feature map, and voxel attributes are reconstructed at the current level in the octree structure based on the reconstructed feature map, wherein a reconstructed feature in the reconstructed feature map for a current voxel is representative of at least a set of voxels that are still to be reconstructed.

Abstract: In one implementation, a method for reconstructing attributes of a point cloud is provided wherein a geometry feature map representative of a geometry of the point cloud is obtained, an attribute feature map is decoded from a bitstream, the attribute feature map being representative of attributes of points of the point cloud, and the decoded attribute feature map is updated with the geometry feature map. Attributes of points of the point cloud are reconstructed based on the updated decoded attribute feature map.

Abstract: In one implementation, a method of encoding or decoding point cloud data is provided, comprising: obtaining a feature map representing attributes of voxels in an octree structure; determining one or more probability distribution parameters for a probability density function associated with an attribute of a current voxel, based on the feature map; determining a probability mass function of the attribute of the current voxel based on the one or more probability distribution parameters for the probability density function for the current voxel; and encoding or decoding attribute information of the current voxel in the octree structure, based on the probability mass function of the attribute for the current voxel.

Abstract: In one implementation, a method of decoding point cloud data is presented, comprising: decoding features representing voxel attributes in an octree structure, wherein a decoded feature for a current voxel is representative of at least a set of voxels that are still to be reconstructed; determining an attribute probability of the current voxel based on the decoded feature for the current voxel; decoding attribute information of voxels in the octree structure, wherein the attribute information for the current voxel is decoded based on the attribute probability for the current voxel; and reconstructing the point cloud based on the attribute information of voxels in the octree structure. On the encoder side, the features are extracted and encoded into the bitstream.

Abstract: A system and method of predicting a user's most meaningful multimedia content includes enabling a sensing device on a user device in response to a user requesting a multimedia operation, performing the multimedia operation for a multimedia content, in response to the multimedia operation, identifying behavioral and interaction cues of the user with the sensing device substantially when the multimedia operation is being performed, updating a recommendation from a set of multimedia content including the multimedia content represented by the behavioral and interaction cues identified, and presenting the updated recommendation to the user.

Abstract: A system and method of predicting a user's most meaningful multimedia content includes enabling a sensing device on a user device in response to a user requesting a multimedia operation, performing the multimedia operation for a multimedia content, in response to the multimedia operation, identifying behavioral and interaction cues of the user with the sensing device substantially when the multimedia operation is being performed, updating a recommendation from a set of multimedia content including the multimedia content represented by the behavioral and interaction cues identified, and presenting the updated recommendation to the user.

Abstract: A system and method of predicting a user's most meaningful multimedia content includes enabling a sensing device on a user device in response to a user requesting a multimedia operation, performing the multimedia operation for a multimedia content, in response to the multimedia operation, identifying behavioral and interaction cues of the user with the sensing device substantially when the multimedia operation is being performed, updating a recommendation from a set of multimedia content including the multimedia content represented by the behavioral and interaction cues identified, and presenting the updated recommendation to the user.

Abstract: A system and method of predicting a user's most meaningful multimedia content includes enabling a sensing device on a user device in response to a user requesting a multimedia operation, performing the multimedia operation for a multimedia content, in response to the multimedia operation, identifying behavioral and interaction cues of the user with the sensing device substantially when the multimedia operation is being performed, updating a recommendation from a set of multimedia content including the multimedia content represented by the behavioral and interaction cues identified, and presenting the updated recommendation to the user.