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Recent Advances in Video Coding for Machines Standard and Technologies
ZHANG Qiang, MEI Junjun, GUAN Tao, SUN Zhewen, ZHANG Zixiang, YU Li
ZTE Communications    2024, 22 (1): 62-76.   DOI: 10.12142/ZTECOM.202401008
Abstract31)   HTML2)    PDF (1394KB)(90)       Save

To improve the performance of video compression for machine vision analysis tasks, a video coding for machines (VCM) standard working group was established to promote standardization procedures. In this paper, recent advances in video coding for machine standards are presented and comprehensive introductions to the use cases, requirements, evaluation frameworks and corresponding metrics of the VCM standard are given. Then the existing methods are presented, introducing the existing proposals by category and the research progress of the latest VCM conference. Finally, we give conclusions.

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A Parallel Platform for Web Text Mining
Ping Lu, Zhenjiang Dong, Shengmei Luo, Lixia Liu, Shanshan Guan, Shengyu Liu, and Qingcai Chen
ZTE Communications    2013, 11 (3): 56-61.   DOI: DOI:10.3969/j.issn.1673-5188.2013.03.010
Abstract47)      PDF (411KB)(51)       Save
With user-generated content, anyone can be a content creator. This phenomenon has infinitely increased the amount of information circulated online, and it is becoming harder to efficiently obtain required information. In this paper, we describe how natural language processing and text mining can be parallelized using Hadoop and Message Passing Interface. We propose a parallel web text mining platform that processes massive amounts of data quickly and efficiently. Our web knowledge service platform is designed to collect information about the IT and telecommunications industries from the web and process this information using natural language processing and data-mining techniques.
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