Abstract: A method that includes a decoder-side method that includes receiving a bitstream that includes an encoded representation of an input audio signal and metadata associated with the input audio signal, producing a decoded representation of the input audio signal by decoding the encoded representation using a Matching Pursuit (MP) coding-based algorithm, producing audio driver signals by rendering the input audio signal based on the metadata, and driving speakers using the audio driver signals.

Abstract: Systems and methods herein describe a metadata verification system that is configured to access a digital satellite image, generate a first discrete Fourier transform (DFT) pattern based on an ortho-rectified digital satellite image, generate a second DFT pattern based on rational polynomial coefficient (RPC) data of the digital satellite image, compare the first DFT pattern to the second DFT pattern, generate a score based on the comparison, and generate a determination of whether the digital satellite image has been manipulated based on the score.

Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.

Abstract: Systems and methods herein describe a metadata verification system that is configured to access a digital satellite image, generate a first discrete Fourier transform (DFT) pattern based on an ortho-rectified digital satellite image, generate a second DFT pattern based on rational polynomial coefficient (RPC) data of the digital satellite image, compare the first DFT pattern to the second DFT pattern, generate a score based on the comparison, and generate a determination of whether the digital satellite image has been manipulated based on the score.

Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.

Abstract: Systems and methods herein describe a metadata verification system that is configured to access a digital satellite image, generate a first discrete Fourier transform (DFT) pattern based on an ortho-rectified digital satellite image, generate a second DFT pattern based on rational polynomial coefficient (RPC) data of the digital satellite image, compare the first DFT pattern to the second DFT pattern, generate a score based on the comparison, and generate a determination of whether the digital satellite image has been manipulated based on the score.

Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.

Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.

Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.

Abstract: A method and apparatus for predictive coding of spherical or 360-degree video with dynamics dominated by camera motion. To achieve efficient compression, a geodesic translation motion model is introduced to characterize the perceived motion of objects on the sphere. Pixels in the surrounding objects are perceived as translating on the sphere along their respective geodesics, which intersect at the two points where a line, determined by the motions of the camera and surrounding objects, intersects the sphere. This motion compensation perfectly models the perceived motion on the sphere, and accounts for perspective distortions due to camera and object motions. Experimental results demonstrate that the preferred embodiments of the present invention achieve significant performance gains over prevalent motion-compensated prediction techniques, across various projection geometries.

Abstract: A method and apparatus for predictive coding of spherical or 360-degree video. To achieve efficient compression, a rotational motion model is introduced to characterize motion on the sphere, specifically, in terms of sphere rotations about given axes. This model preserves an object's shape and size on the sphere. A motion vector in this model implicitly specifies an axis of rotation and the degree of rotation about that axis, to convey actual motion of the object on the sphere. Complementary to the rotational motion model, an effective location-invariant motion search technique that is agnostic of the projection format is provided that is tailored to the sphere's geometry. Experimental results demonstrate that the preferred embodiments of this invention achieve significant gains over prevalent motion models, across various projection geometries.

Abstract: A method, device, and apparatus provide the ability to predict a portion of a polyphonic audio signal for compression and networking applications. The solution involves a framework of a cascade of long term prediction filters, which by design is tailored to account for all periodic components present in a polyphonic signal. This framework is complemented with a design method to optimize the system parameters. Specialization may include specific techniques for coding and networking scenarios, where the potential of each enhanced prediction is realized to considerably improve the overall system performance for that application. One specific technique provides enhanced inter-frame prediction for the compression of polyphonic audio signals, particularly at low delay. Another specific technique provides improved frame loss concealment capabilities to combat packet loss in audio communications.

Abstract: A method and apparatus provide the ability to code signals in a layered manner for compression and networking applications. The solution involves a relaxed hierarchical structure of layers, wherein only an optimal subset of information from lower quality levels is transmitted to higher level decoders. This framework is complemented with a design method to optimize system parameters. Specialization may include techniques for employing irregular quantizers and/or estimation theoretic optimal parameter selection and/or content specific optimization (e.g., exploiting harmonic structure in audio, adaptive transform coding and enhanced motion compensated prediction for video) and/or optimization of the structure of the layers, where the potential of exploiting all the common information is realized to improve overall system performance for that application. One specific technique provides improved compression of signals with multiple quality levels with or without prediction.

Abstract: A method, device, and apparatus provide the ability to predict a portion of a polyphonic audio signal for compression and networking applications. The solution involves a framework of a cascade of long term prediction filters, which by design is tailored to account for all periodic components present in a polyphonic signal. This framework is complemented with a design method to optimize the system parameters. Specialization may include specific techniques for coding and networking scenarios, where the potential of each enhanced prediction is realized to considerably improve the overall system performance for that application. One specific technique provides enhanced inter-frame prediction for the compression of polyphonic audio signals, particularly at low delay. Another specific technique provides improved frame loss concealment capabilities to combat packet loss in audio communications.

Abstract: A method, device, and apparatus provide the ability to predict a portion of a polyphonic audio signal for compression and networking applications. The solution involves a framework of a cascade of long term prediction filters, which by design is tailored to account for all periodic components present in a polyphonic signal. This framework is complemented with a design method to optimize the system parameters. Specialization may include specific techniques for coding and networking scenarios, where the potential of each enhanced prediction is realized to considerably improve the overall system performance for that application. One specific technique provides enhanced inter-frame prediction for the compression of polyphonic audio signals, particularly at low delay. Another specific technique provides improved frame loss concealment capabilities to combat packet loss in audio communications.

Abstract: A method and apparatus provide the ability to code signals in a layered manner for compression and networking applications. The solution involves a relaxed hierarchical structure of layers, wherein only an optimal subset of information from lower quality levels is transmitted to higher level decoders. This framework is complemented with a design method to optimize system parameters. Specialization may include techniques for employing irregular quantizers and/or estimation theoretic optimal parameter selection and/or content specific optimization (e.g., exploiting harmonic structure in audio, adaptive transform coding and enhanced motion compensated prediction for video) and/or optimization of the structure of the layers, where the potential of exploiting all the common information is realized to improve overall system performance for that application. One specific technique provides improved compression of signals with multiple quality levels with or without prediction.

Abstract: A method, device, and apparatus provide the ability to predict a portion of a polyphonic audio signal for compression and networking applications. The solution involves a framework of a cascade of long term prediction filters, which by design is tailored to account for all periodic components present in a polyphonic signal. This framework is complemented with a design method to optimize the system parameters. Specialization may include specific techniques for coding and networking scenarios, where the potential of each enhanced prediction is realized to considerably improve the overall system performance for that application. One specific technique provides enhanced inter-frame prediction for the compression of polyphonic audio signals, particularly at low delay. Another specific technique provides improved frame loss concealment capabilities to combat packet loss in audio communications.