公开(公告)号：US20240273684A1

公开(公告)日：2024-08-15

申请号：US18569528

申请日：2021-12-10

Applicant: INTEL CORPORATION

Inventor： Chen WANG ,  Yi-Jen CHIU ,  Huan DOU ,  Ying ZHANG

IPC: G06T5/60 ,  G06T5/20

CPC classification number: G06T5/60 ,  G06T5/20 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: This disclosure describes systems. methods. and devices related to deep learning-based video processing. A system may include a first neural network associated with generating kernel weights for the DL VP. the first neural network using a first hardware device: and a second neural network associated with filtering image pixels for the DLVP. the second neural network using a second hardware device, wherein the first neural network receives image data and generates the kernel weights based on the image data, and wherein the second neural network receives the image data and the kernel weights. and generates filtered image data based on the image data and the kernel weights.

公开(公告)号：US20220351496A1

公开(公告)日：2022-11-03

申请号：US17764008

申请日：2019-12-24

Applicant: Intel Corporation

Inventor： Huan DOU ,  Lidong XU ,  Xiaoxia CAI ,  Chen WANG ,  Yi-Jen CHIU

IPC: G06V10/764 ,  G06V10/762 ,  G06V10/56 ,  G06V10/50 ,  G06V10/44 ,  G06V10/42 ,  G06V20/62

Abstract: A method for image content classification is described herein. The method includes counting a number of distinct color numbers in an image. The method also includes clustering blocks with a same distinct color number into a same class and determining a block occupancy rate of each color number for the image. Finally, the method includes classifying the image according to the block occupancy rate via a plurality of classifiers communicatively coupled in series.