Intel Corporation

Gilad Baruch

Avigdor Dori Eldar

Jonathan Abramson

Doron Dag

A semiconductor package apparatus may include technology to determine difference information between a parent node of a hierarchical data structure and a child node of the parent node, and store the difference information with the child node of the hierarchical data structure. Other embodiments are disclosed and claimed.

Preparing a hierarchical clustering data structure for compression

Techniques related to a system, article, and method of real-time image segmentation for image processing.

Method and system of real-time image segmentation for image processing

A system, article, and method of image segmentation refinement for image processing.

Method and system of image segmentation refinement for image processing

A system for performing automatic cinemagraph creation is described herein. The system comprises a memory and a processor. The memory is configured to receive series of images. The processor is coupled to the memory. The processor is to segment the series of images, select the most fitting times and mask, and apply the times and masks to the series of images to generate a cinemagraph.

Automatic cinemagraph

Techniques for a system, article, and method of background-foreground segmentation for image processing may include obtaining pixel data including both non-depth data and depth data for at least one image, where the non-depth data includes color data or luminance data or both and associated with the pixels; determining whether a portion of the image is part of a background or foreground of the image based on the depth data and without using the non-depth data; and determining whether a border area between the background and foreground formed by using the depth data are part of the background or foreground depending on the non-depth data without using the depth data.

Method and system of background-foreground segmentation for image processing

Systems, apparatuses, and/or methods may provide for segmenting an image by generating a histogram of its pixel values, dividing the histogram into class intervals, and then iteratively computing new, shifted weighted means and shifted class interval boundaries for the class intervals until a predetermined level of convergence to a limit is obtained. The pixels may then be updated to a last weighted mean for class intervals to which they belong, providing segmentation. Similarly, any data may be segmented to provide computational efficiency.

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Jerusalem, Israel

Gilad Baruch