Vulcan Inc.

Michael Persiantsev

Samuel Allan McKennoch

Cecil Lee Quartey

Paul Benjamin Albee

A portion of a first wavelet transform associated with a first frame in a sequence is compressed to produce a first compressed or modified portion of the first wavelet transform. The first modified portion is stored in the memory. A portion of a second wavelet transform associated with a second frame in the sequence is obtained. A set of differences between the portion of the second wavelet transform and the first compressed portion of the first wavelet transform is determined. A second compressed portion is generated based at least in part on the set of differences. A subset of a set of image data is provided to be displayed on a display device based at least in part on the second compressed portion.

Quality control engine for video compression

A quantized image frame and a quantization of a high frequency image frame is obtained. The image frame is de-quantized and transformed to produce a low frequency image frame of a first color. A first set of components of the first color and a second set of components of the first color are determined based at least in part on the low frequency image frame and the high frequency image frame. The first set of components of the first color and the second set of components of the first color are combined with a set of components of a second color to produce a set of image data for an image frame. The set of image data is processed to produce the image frame in a particular format to be displayed on a display device.

Key and difference block video decompression

A first image is aligned with a second image. A first motion value is computed based at least in part on a sum of differences between corresponding pixels in the first image and the second image. A second motion value is computed further based at least in part on a third image. An impact score is generated based at least in part on a difference between values derived from the first motion value and the second motion value and an action is performed depending at least in part on whether the impact score indicates that damage has occurred among objects represented in the first image and the second image.

High-precision detection of homogeneous object activity in a sequence of images

A first set of components of a primary color and a second set of components of the primary color is extracted from image data. A low frequency image frame and a high frequency image frame is calculated based at least in part on the first set of components and the second set of components. The low frequency image frame is transformed and quantized to produce quantized data and residual data. The quantized data or the quantized data combined with the residual data, as determined based at least in part on a difference between the quantized data and previously output data, is stored in memory as at least a portion of an image frame in the memory. The image frame from the memory and a quantization of the high frequency image frame is provided to be displayed on a display device.

Key and difference block video compression

A quantized subset of set of image data is obtained. One or more iterations of inverse quantization are performed on the quantized subset until a de-quantized subset is produced that meets specified criteria. A block of an image frame is determined based at least in part on the de-quantized subset. The block is stored in a region of the memory allocated for storage of the block. A set of blocks that includes the block is output from the memory.

Quality control engine for video decompression

An image comprising a set of pixels is obtained and a dominant hue is determined. A color value of individual pixels in a subset of the set of pixels that fall within the hue range is modified to produce a first transformed image. A filter is applied to the first transformed image or an image derived from the first transformed image to reduce spatial high frequency noise and derive a low frequency image. A high frequency image is generated based on the first transformed image and the low frequency image. Whether the high frequency image depicts the object at a target image frequency is determined based on specified criteria for an object, and if the high frequency image corresponds to the target image frequency, the high frequency image is stored.

Spectral selection and transformation of image frames

A first image and a second image recorded during a video capture event is obtained. A correction factor is computed based at least in part on a target interval and an interval of time between recording the first image and recording the second image. A motion value is computed based at least in part on a difference between the first region and the second region, with the first region and the second region both containing a reference object present in the first image and the second image. A normalized motion value is provided based at least in part on normalizing the motion value according to the correction factor.

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Shrewsbury, MA, United States of America

Michael Persiantsev