[1]GAO Wen.City brain: challenges and solution[J].CAAI Transactions on Intelligent Systems,2020,15(4):818-824.[doi:10.11992/tis.202011038]
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City brain: challenges and solution
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
15
Number of periods:
2020 4
Page number:
818-824
Column:
洞见与碰撞
Public date:
2020-07-05
- Title:
- City brain: challenges and solution
- Keywords:
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- CLC:
- -
- DOI:
- 10.11992/tis.202011038
- Abstract:
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- References:
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[1] 高文, 田永鸿, 王坚. 数字视网膜: 智慧城市系统演进的关键环节[J]. 中国科学: 信息科学, 2018, 48(8): 1076-1082
[2] ZHANG Xianguo, HUANG Tiejun, TIAN Yonghong, et al. Background-modeling based adaptive prediction for surveillance video coding[J]. IEEE transactions on image processing, 2014, 23(2): 769-784.
[3] 高文, 等. 信息技术: 智能媒体编码(第2部分: 视频), 新一代人工智能产业技术创新战略联盟团体标准[S]. 2019.
[4] BROSS B, CHEN J, LIU S, et al. Versatile Video Coding, ITU-T and ISO/IEC JVET-S2001, 2020.
[5] DUAN Lingyu, CHANDRASEKHAR Vijay, CHEN Jie, et al. Overview of the MPEG-CDVS standard[J]. IEEE transactions on image processing, 2016, 25(1): 179-194.
[6] DUAN Lingyu, CHANDRASEKHAR Vijay, WANG Shiqi, et al. Compact descriptors for video analysis: the emerging MPEG standard[J]. IEEE multimedia, 2019, 26(2): 44-54.
[7] ZHANG Xiang, MA Siwei, WANG Shiqi, et al. A joint compression scheme of video feature descriptors and visual content[J]. IEEE transactions on image processing, 2017, 26(2): 633-647.
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Last Update:
2020-07-25