Abstract: An embodiment of an image processing apparatus may comprise one or more processors, memory coupled to the one or more processor to store image and mask data, and logic coupled to the one or more processors and the memory, the logic to capture a volumetric broadcast video signal in real-time and generate a sequence of frame images from the captured real-time volumetric broadcast video signal, segment an input image, which corresponds to a single frame of the sequence of frame images, to generate a mask image associated with the input image, and determine a mask quality score based on the input image and the associated mask image in real-time. Other embodiments are disclosed and claimed.

Abstract: A mechanism is described for facilitating monochrome bit depth coding. The apparatus comprises one or more processors to receive depth data and convert the depth data into color space data, including converting a first segment of the depth data into a monochrome component of the color space data and converting a second segment of the depth data into one or more color components of the color space data.

Abstract: An embodiment of an image processing apparatus may comprise one or more processors, memory coupled to the one or more processor to store image and mask data, and logic coupled to the one or more processors and the memory, the logic to capture a volumetric broadcast video signal in real-time and generate a sequence of frame images from the captured real-time volumetric broadcast video signal, segment an input image, which corresponds to a single frame of the sequence of frame images, to generate a mask image associated with the input image, and determine a mask quality score based on the input image and the associated mask image in real-time. Other embodiments are disclosed and claimed.

Abstract: An embodiment of mask quality predication technology may include a memory to store a set of input images and a reference mask image associated with each input image of the set of input images, a processor communicatively coupled to the memory, and logic communicatively coupled to the processor and the memory to generate a set of two or more masks of different quality associated with each input image of the set of input images, and determine a quality score for each generated mask. Other embodiments are disclosed and claimed.

Abstract: A method for unsupervised image segmentation based on a background likelihood estimation is described herein. The method includes calculating a distance for each pixel in an input image and transforming each distance into a probability of the distance of belonging to a background of an input image or a foreground of the input image. The method also includes transforming each probability into a log likelihood value to form a unary term and minimizing an energy function including the unary term to obtain a set of foreground labels and a set of background labels.

Abstract: A method for unsupervised image segmentation based on a background likelihood estimation is described herein. The method includes calculating a distance for each pixel in an input image and transforming each distance into a probability of the distance of belonging to a background of an input image or a foreground of the input image. The method also includes transforming each probability into a log likelihood value to form a unary term and minimizing an energy function including the unary term to obtain a set of foreground labels and a set of background labels.

Abstract: A method for 3D moving object point cloud refinement using temporal inconsistencies is described herein. The method includes extracting a descriptor for each 3D seed point from a plurality of images captured via a plurality of cameras in a camera configuration and determining a similarity score for each 3D seed point according to temporal inconsistencies in the extracted descriptor. The method also includes removing false positive 3D seed points via a classifier.

Abstract: A mechanism is described for facilitating monochrome bit depth coding. The apparatus comprises one or more processors to receive depth data and convert the depth data into color space data, including converting a first segment of the depth data into a monochrome component of the color space data and converting a second segment of the depth data into one or more color components of the color space data.

Abstract: An embodiment of mask quality predication technology may include a memory to store a set of input images and a reference mask image associated with each input image of the set of input images, a processor communicatively coupled to the memory, and logic communicatively coupled to the processor and the memory to generate a set of two or more masks of different quality associated with each input image of the set of input images, and determine a quality score for each generated mask. Other embodiments are disclosed and claimed.