Intel Corporation

China Petroleum Chemical Corporation

Beijing Research Institute of Chemical Industry, China Petroleum & Chemical Corporation

Tahoe Research, Ltd.

Xiaoxia Cai

Yi-Jen Chiu

Lidong Xu

Zhipin Deng

Wenhao Zhang

Yu Han

Jing Yan Ma

Haitao Liu

Mingzhi Gao

Changxiu Li

Jianhua Chen

Jixing Ma

Ming Wang

Chen Wang

Jianjun Hu

Hong Jiang

Ya-Ti Peng

Ke Chen

Pieter Kapsenberg

Zhihui Zhang

Xiaofan Zhang

Xianzhong Li

Changyou Ma

Ruilin Duan

Huan Dou

Jun Wang

Linna Yang

Jing Ma

An apparatus for super resolution imaging includes a convolutional neural network () to receive a low resolution frame () and generate a high resolution illuminance component frame. The apparatus also includes a hardware scaler () to receive the low resolution frame () and generate a second high resolution chrominance component frame. The apparatus further includes a combiner () to combine the high resolution illuminance component frame and the high resolution chrominance component frame to generate a high resolution frame ().

Super resolution using convolutional neural network

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.

Image content classification

Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation. In an example encoder, first circuitry is to encode video input data into a bitstream according to a bitstream syntax, wherein the video input data includes one or more pictures, the one or more pictures are partitioned into one or more coding tree blocks, the one or more coding tree blocks are partitioned into slices including one or more coding tree blocks, the one or more coding tree blocks include one or more transform blocks according to a transform tree including a split_transform_flag indicative of the split of a given coding block into corresponding one or more transform blocks, the split_transform_flag is coded using CABAC, and a context index associated with the CABAC coding of the split_transform_flag is based on a value. Second circuitry of the encoder is to output the bitstream.

Size based transform unit context derivation

Systems, apparatus, articles of manufacture and methods for face augmentation in video are disclosed. An example apparatus includes executable code to detect a face of a subject in the video, detect a gender of the subject based on the face, detect a skin tone of the subject based on the face, apply a first process to smooth skin on the face in the video, apply a second process to change the skin tone of the face, apply a third process to slim the face, apply a fourth process to adjust a size of eyes on the face, and apply a fifth process to remove an eye bag from the face. One or more of the first process, the second process, the third process, the fourth process, or the fifth process adjustable based on one or more of the gender or an age. The example apparatus also includes one or more processors to generate modified video with beauty effects, the beauty effects based on one or more of the first process, the second process, the third process, the fourth process, or the fifth process.

Face augmentation in video

An example apparatus for enhancing video includes a decoder to decode a received 360-degree projection format video bitstream to generate a decoded 360-degree projection format video. The apparatus also includes a viewport generator to generate a viewport from the decoded 360-degree projection format video. The apparatus further includes a convolutional neural network (CNN)-based filter to remove an artifact from the viewport to generate an enhanced image. The apparatus further includes a displayer to send the enhanced image to a display.

Enhancing 360-degree video using convolutional neural network (CNN)-based filter

Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation.

Disclosed is a catalyst component for olefin polymerization. The catalyst component comprises magnesium, titanium, halogen and an internal electron donor. The internal electron donor includes an imine compound with a ketone group as shown in Formula I. Disclosed further is a method of preparing the catalyst component, and a catalyst for olefin polymerization containing the catalyst component. When the catalyst is used in olefin polymerization reaction especially propene polymerization reaction, the catalyst has a high activity and a long term activity and good hydrogen response, and the obtained polymer has characteristics of an adjustable isotactic index and a relatively wide molecular weight distribution. 

Catalyst component for olefin polymerization, catalyst, and use thereof

Systems, apparatus, articles, and methods are described below including operations for scalable real-time face beautification of video images.

Scalable real-time face beautification of video images

Systems, devices and methods are described including performing scalable video coding using inter-layer residual prediction. Inter-layer residual prediction in an enhancement layer coding unit, prediction unit, or transform unit may use residual data obtained from a base layer or from a lower enhancement layer. The residual may be subjected to upsample filtering and/or refinement filtering. The upsample or refinement filter coefficients may be predetermined or may be adoptively determined.

Inter-layer residual prediction

Disclosed is a catalyst component for olefin polymerization. The catalyst component comprises magnesium, titanium, halogen and an internal electron donor. The internal electron donor includes an imine compound with a ketone group as shown in Formula I. Disclosed further is a method of preparing the catalyst component, and a catalyst for olefin polymerization containing the catalyst component. When the catalyst is used in olefin polymerization reaction especially propene polymerization reaction, the catalyst has a high long-term activity and good hydrogen response, and the obtained polymer has characteristics of an adjustable isotactic index and a relatively wide molecular weight distribution. 

Techniques involving inter layer prediction of scalable video coding are described. Such techniques may employ refining filters.

Refining filter for inter layer prediction of scalable video coding

Described herein are techniques related to re-use of filter parameters, and particularly Sample Adaptive Offset (SAO) parameters, of a lower-layer bitstream or a coded enhancement layer bitstream for coding enhancement layer bitstream in a scalable video encoding.

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Beijing, China

Xiaoxia Cai