MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202617075207 A) filed by Interdigital Ce Patent Holdings, Sas on June 17, 2026, for Multiple Frequency Fourier Mapping For Implicit Neural Representation Based Compression.
Inventors include Damodaran, Bharath Bhushan; Hellier, Pierre; Schnitzler, Francois; and Lambert, Anne.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: A method for encoding comprising: obtaining (41) a Fourier mapping function defined by a plurality of sets of Fourier basis frequencies, each Fourier basis frequency of a set of the plurality of sets being randomly sampled from a Gaussian distribution using a same scale parameter, the scale parameter being different for each set; applying (42) the Fourier mapping function to picture coordinates of samples of a picture unit to obtain mapped picture coordinates; applying (43) a learning phase allowing learning parameters of an implicit neural representation, the learning phase comprising a minimization of a loss function depending on the parameters of the implicit neural representation, the implicit neural representation being applied to the mapped picture coordinates; and, signaling (44, 45) the scale parameters and the parameters of the implicit neural representation in picture data.
Disclaimer: Curated by HT Syndication.
