Cisco Technology, Inc.

Georgia Tech Research Corporation

Emory University

Ghassan AlRegib

Wen-hsiung Chen

Dihong Tian

Pi Sheng Chang

Junlin Li

Dogancan Temel

Melvin Julian Mathew

Yousuf M Khalifa

Mashhour Solh

In a method of generating a neural network used to detect a feature of medical significance from a body image data input, test data images () are divided into patches (). Each patch is labelled as either corresponding to the feature () or not corresponding to the feature (). One trained fully connected layer () in a pretrained general purpose convolutional neural network () is replaced with a new fully connected layer. The pretrained convolutional neural network () is retrained with the set of labelled patches () to generate a feature-specific convolutional neural network that includes at least one feature-specific fully connected layer () that maps the body image data to the feature of medical significance when the feature of medical significance is present in the body image data input.

Transfer learning for medical applications using limited data

A system for monitoring ocular movement can comprise a housing, a plurality of light sources, at least one imager, and a controller. The housing can define a cavity configured to allow each eye of a patient to view an interior region of the housing. The plurality of light sources can be oriented within the interior region of the housing. The at least one imager can be oriented to capture an image of an eye of a patient during an evaluation. The at least one controller can comprise at least one processor and a non-transitory computer readable medium storing instructions. The instructions can be executed by the processor and cause the controller to receive image data from the at least one imager and illuminate the plurality of light sources in a predetermined and reconfigurable sequence.

Ocular monitoring headset

Methods for hierarchical hole-filling and depth adaptive hierarchical hole-filling and error correcting in 2D images, 3D images, and 3D wrapped images are provided. Hierarchical hole-filling can comprise reducing an image that contains holes, expanding the reduced image, and filling the holes in the image with data obtained from the expanded image. Depth adaptive hierarchical hole-filling can comprise preprocessing the depth map of a 3D wrapped image that contains holes, reducing the preprocessed image, expanding the reduced image, and filling the holes in the 3D wrapped image with data obtained from the expanded image. These methods are can efficiently reduce errors in images and produce 3D images from a 2D images and/or depth map information.

Hierarchical hole-filling for depth-based view synthesis in FTV and 3D video

A coding method for an ordered series of quantized transform coefficients of a block of image data, including a context adaptive position coding process to encode the position of clusters of non-zero-valued coefficients, e.g., a multidimensional position coder that uses one of a plurality of code mappings selected according to at least one criterion including at least one context-based criterion, and an amplitude encoding process to encode any amplitudes remaining to be coded, the amplitude coding using one or a plurality of amplitude code mappings selected according to at least one criterion, including a context-based criterion. A context-based selection criterion means a criterion that during encoding is known or derivable from one or more previously encoded items of information. Also a coding apparatus, a decoding apparatus, a computer readable medium configured with instructions that when executed implement a coding method, and another medium for a decoding method.

Context adaptive hybrid variable length coding

A coding method for an ordered series of quantized transform coefficients of a block of image data, including a context adaptive position coding process to encode the position of clusters of non-zero-valued coefficients, e.g., a multidimensional position coder that uses one of a plurality of code mappings selected according to at least one criterion including at least one context-based criterion, and an amplitude encoding process to encode any amplitudes remaining to be coded, the amplitude coding using one or a plurality of amplitude code mappings selected according to at least one criterion, including a context-based criterion. A context-based selection criterion is meant a criterion that during encoding is known or derivable from one or more previously encoded items of information. Also a coding apparatus, a decoding apparatus, a computer readable medium configured with instructions that when executed implement a coding method, and another medium for a decoding method.

A coding method, apparatus, and medium with software encoded thereon to implement a coding method. The coding method includes encoding cluster of consecutive non-zero-valued coefficients, the encoding of a cluster including jointly encoding joint events that each are defined by at least two parameters: the number of zero-valued coefficients preceding the cluster, and the number of non-zero-valued coefficients in the cluster. The encoding of the cluster also includes encoding a parameter indicative of the number of amplitude-1 trailing non-zero-valued coefficients in the cluster, in one version with the parameter indicative of the number of trailing amplitude-1 coefficients part of the joint events such that the coding is according to a 3-dimensional joint variable length coding table. The method further includes encoding the amplitudes of the non-zero-valued coefficients that are not encoded by the joint encoding, e.g., encoding the amplitudes of the other than the trailing amplitude-1 coefficients.

Variable length coding of coefficient clusters for image and video compression

A coding method, apparatus, and medium with software encoded thereon to implement a coding method. The coding method includes jointly encoding joint events that each are defined by a cluster of consecutive non-zero-valued coefficients, each joint event defined by three parameters: the number of zero-valued coefficients preceding the cluster, the number of non-zero-valued coefficients in the cluster, and an indication of which trailing coefficients up to a maximum number of M trailing coefficients have amplitude greater than 1, with the coding using a 3-dimensional joint VLC table. The method further includes encoding the amplitude of the non-zero-valued trailing coefficients that have amplitude greater than 1 encoding the amplitude of any remaining non-zero-valued coefficients in the clusters that have more than M non-zero-valued coefficients.

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Savannah, GA, United States of America

Ghassan AlRegib