Abstract:
Skin smoothing is applied to images using a bilateral filter and aided by a skin map. In one example a method includes receiving an image having pixels at an original resolution. The image is buffered. The image is downscaled from the original resolution to a lower resolution. A bilateral filter is applied to pixels of the downscaled image. The filtered pixels of the downscaled image are blended with pixels of the image having the original resolution, and the blended image is produced.
Abstract:
Described herein are advanced artificial intelligence agents for modeling physical interactions. An apparatus to provide an active artificial intelligence (AI) agent includes at least one database to store physical interaction data and compute cluster coupled to the at least one database. The compute cluster automatically obtains physical interaction data from a data collection module without manual interaction, stores the physical interaction data in the at least one database, and automatically trains diverse sets of machine learning program units to simulate physical interactions with each individual program unit having a different model based on the applied physical interaction data.
Abstract:
Methods and systems for advanced and augmented training of deep neural networks (DNNs) using synthetic data and innovative generative networks. A method includes training a DNN using synthetic data, training a plurality of DNNs using context data, associating features of the DNNs trained using context data with features of the DNN trained with synthetic data, and generating an augmented DNN using the associated features.
Abstract:
Methods and systems are disclosed using an execution pipeline on a multi-processor platform for deep learning network execution. In one example, a network workload analyzer receives a workload, analyzes a computation distribution of the workload, and groups the network nodes into groups. A network executor assigns each group to a processing core of the multi-core platform so that the respective processing core handle computation tasks of the received workload for the respective group.
Abstract:
The invention provides a video codec. In one embodiment, the video codec is coupled to an outer memory storing a reference frame, and comprises an interface circuit, an in-chip memory, a motion estimation circuit, and a controller. The interface circuit obtains in-chip data from the reference frame stored in the outer memory. The in-chip memory stores the in-chip data. The motion estimation circuit retrieves search window data from the in-chip data with a search window, and performs a motion estimation process on a current macroblock according to the search-window data. The controller shifts the location of the search window when the current macroblock is shifted, marks a macroblock shifted out from the search window as an empty macroblock, and controls the interface circuit to obtain an updated macroblock for replacing the empty macroblock in the in-chip memory from the reference frame stored in the outer memory.
Abstract:
A method is described that performing an image integral calculation by creating a second vector and creating a third vector. The second vector is created by executing a first instruction that adds alternating elements of a first vector to respective neighboring elements of the first vector and presents resulting summations into said second vector. The first instruction also passes through the respective neighboring elements to said second vector. The third vector is created by executing a second instruction that adds elements of one side of the second vector to an element of another side of the second vector and passes through the another side of the second vector.