Beijing Jiaotong University

International Business Machines Corporation

Taiyuan University of Science and Technoloy

Shanxi Zhishi Haotai Technology Co., Ltd

Leto Laboratories Co., Ltd

Yao Zhao

Wei Zhang

Huihui Bai

Wei Wu

Jie Yang

Jiang Yi Liu

Jianjun Zhang

Fei Tan

Ling Qin

Yunchao Wei

Peihao Li

Anhong Wang

Xin Yu Pan

Pin Yi Liu

Jiapeng Jia

Lujia Peng

Xiaoting Zhu

Jishu Wang

Yanling Xu

Disclosed is a multi-angle image semantic segmentation method for cadmium zinc telluride chips, belonging to the field of image quality augmentation. Firstly, construction of an n+1 dataset is performed by using acquire CZT images, and then pixel-level and latent-level knowledge representation is performed through a Pixel Aggregation Network PAN and a Latent Aggregation Network LAN in a Progressive Complementary Knowledge Aggregation network PCKA, which ultimately improves the quality and speed of CZT image segmentation. The method is suitable for applications that require multi-angle image acquisition and semantic segmentation, such as semiconductor material segmentation.

Multi-angle image semantic segmentation method for cadmium zinc telluride chips

Embodiments provide enhanced performance diagnosis in a network computing environment. In response to an occurrence of a performance issue for a node while under operating conditions, common logs for applications on the node are analyzed. The applications are respectively registered in advance for diagnosis services. The applications each register rules in advance for the diagnosis services. At a time of the performance issue, debug programs are automatically issued to generate debug level logs respectively for the applications. Debug level logs are analyzed according to the rules to determine a root cause of the performance issue. A potential solution to the root cause of the performance issue is determined using the rules, without having to recreate the operating conditions occurring during the performance issue. The potential solution to rectify the root cause of the performance issue is executed without having to recreate the operating conditions occurring during the performance issue.

Enhanced performance diagnosis in a network computing environment

A multi-description-based video encoding and decoding method, device and system, comprising the following steps: separating odd frames from even frames to generate and encode an initial description; utilizing the correlation of macro-block levels between different descriptions to generate and encode the side information of different modes; and transmitting via a channel. The present invention may be used in a real-time video transmission scenario.

Multi-description-based video encoding and decoding method, device and system

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Beijing, China

Yao Zhao