InterDigital had 38 patents in artificial intelligence during Q2 2024. InterDigital Inc filed patents in Q2 2024 for compressing color information in point cloud data using neural networks, implementing a learnable transformation for 3D point cloud data compression, and video encoding/decoding with auto encoders for motion information. Additionally, a patent was filed for a manifest application server providing network communication paths for downloading AI/ML models to target UEs efficiently. GlobalData’s report on InterDigital gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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InterDigital had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: System and method for procedurally colorizing spatial data (Patent ID: US20240212220A1)
The patent filed by InterDigital Inc. describes systems and methods for compressing color information in point cloud data. This involves using a neural network to generate predicted color information based on point position information, creating a prediction residual to represent the difference between predicted and input color information, and encoding this data in a bitstream. Additionally, color hint data can be encoded to enhance color prediction accuracy.
The method outlined in the patent involves receiving a bitstream encoding geometry information, color hint data, and residual color signal for a point cloud. Color prediction data is then produced using a neural network with input from geometry information and color hint data, with the residual color signal added to generate a reconstructed color signal for the point cloud. The neural network parameter data, such as neural network weights, is crucial for accurate color prediction, and the method allows for rendering representations of the colored point cloud using the reconstructed color signal. Overall, the patent focuses on efficient compression and reconstruction of color information in point cloud data using neural networks and color hint data.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
