智能多媒体内容设计在阿里巴巴的应用

刘奎龙; 李为; 杨昌源; 杨光

doi:10.1631/FITEE.1900580

Your Location：

Home >

Browse articles >

智能多媒体内容设计在阿里巴巴的应用

智能设计专题 | Updated：2022-05-19

- 智能多媒体内容设计在阿里巴巴的应用
- Intelligent design of multimedia content in Alibaba
- 信息与电子工程前沿（英文） 2019年20卷第12期页码：1657-1664
- Affiliations：
  
  Alibaba Group, Hangzhou 311121, China
- Author bio：
  
  [ "Kui-long LIU, E-mail: kuilong.lkl@alibaba-inc.com" ]
  [ "Wei LI, pangeng.lw@alibaba-inc.com" ]
  [ "Chang-yuan YANG, changyuan.yangcy@alibaba-inc.com" ]
  [ "Guang YANG, qingyun@taobao.com" ]
- Funds：
- DOI：10.1631/FITEE.1900580
  中图分类号： TP391
- 收稿：2019-10-23，
  
  修回：2019-12-15，
  
  纸质出版：2019-12
- Accepted：
Scan QR Code
刘奎龙, 李为, 杨昌源, 等. 智能多媒体内容设计在阿里巴巴的应用[J]. 信息与电子工程前沿（英文）, 2019,20(12):1657-1664.

Kui-long LIU, Wei LI, Chang-yuan YANG, et al. Intelligent design of multimedia content in Alibaba[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(12): 1657-1664.
刘奎龙, 李为, 杨昌源, 等. 智能多媒体内容设计在阿里巴巴的应用[J]. 信息与电子工程前沿（英文）, 2019,20(12):1657-1664. DOI： 10.1631/FITEE.1900580.

Kui-long LIU, Wei LI, Chang-yuan YANG, et al. Intelligent design of multimedia content in Alibaba[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(12): 1657-1664. DOI： 10.1631/FITEE.1900580.

摘要

Abstract

Multimedia content is an integral part of Alibaba's business ecosystem and is in great demand. The production of multimedia content usually requires high technology and much money. With the rapid development of artificial intelligence (AI) technology in recent years

to meet the design requirements of multimedia content

many AI auxiliary tools for the production of multimedia content have emerged and become more and more widely used in Alibaba's business ecology. Related applications include mainly auxiliary design

graphic design

video generation

and page production. In this report

a general pipeline of the AI auxiliary tools is introduced. Four representative tools applied in the Alibaba Group are presented for the applications mentioned above. The value brought by multimedia content design combined with AI technology has been well verified in business through these tools. This reflects the great role played by AI technology in promoting the production of multimedia content. The application prospects of the combination of multimedia content design and AI are also indicated.

关键词

Keywords

references

S Azadi , , , M Fisher , , , VG Kim , , , 等 . . Multi-content GAN for few-shot font style transfer . . Proc IEEE Conf on Computer Vision and Pattern Recognition , , 2018 . . p.7564 - - 7573 . . . .

G Bradski , , , A Kaehler . . Learning OpenCV: Computer Vision with the OpenCV Library . . O'Reilly Media, Inc , , 2008 . . .

M Bretan , , , G Weinberg , , , L Heck . . A unit selection methodology for music generation using deep neural networks , , 2016 . . https://arxiv.org/abs/1612.03789 https://arxiv.org/abs/1612.03789 , , . .

Z Cao , , , T Simon , , , SE Wei , , , 等 . . Realtime multi-person 2D pose estimation using part affinity fields . . Proc IEEE Conf on Computer Vision and Pattern Recognition , , 2017 . . p.7291 - - 7299 . . DOI: 10.1109/CVPR.2017.143 http://doi.org/10.1109/CVPR.2017.143 . .

LC Chen , , , YK Zhu , , , G Papandreou , , , 等 . . Encoderdecoder with atrous separable . . convolution for semantic image segmentation , , 2018 . . https://arxiv.org/abs/1802.02611 https://arxiv.org/abs/1802.02611 , , . .

F Chollet . . Xception: deep learning with depthwise separable convolutions . . Proc IEEE Conf on Computer Vision and Pattern Recognition , , 2017 . . p.1251 - - 1258 . . DOI: 10.1109/CVPR.2017.195 http://doi.org/10.1109/CVPR.2017.195 . .

IJ Goodfellow , , , J Pouget-Abadie , , , M Mirza , , , 等 . . Generative adversarial nets . . Proc 27 th Int Conf on Neural Information Processing Systems , , 2014 . . p.2672 - - 2680 . . . .

KM He , , , XY Zhang , , , SQ Ren , , , 等 . . Deep residual learning for image recognition . . Proc IEEE Conf on Computer Vision and Pattern Recognition , , 2016 . . p.770 - - 778 . . DOI: 10.1109/CVPR.2016.90 http://doi.org/10.1109/CVPR.2016.90 . .

KM He , , , G Gkioxari , , , P DollȤr , , , 等 . . Mask R-CNN . . Proc IEEE Int Conf on Computer Vision , , 2017 . . p.2961 - - 2969 . . DOI: 10.1109/ICCV.2017.322 http://doi.org/10.1109/ICCV.2017.322 . .

S Hochreiter , , , J Schmidhuber . . Long short-term memory . . Neur Comput , , 1997 . . 9 ( ( 8 ): ): 1735 - - 1780 . . DOI: 10.1162/neco.1997.9.8.1735 http://doi.org/10.1162/neco.1997.9.8.1735 . .

X Huang , , , YX Peng . . TPCKT: two-level progressive cross-media knowledge transfer . . IEEE Trans Multim , , 2019 . . 21 ( ( 11 ): ): 2850 - - 2862 . . DOI: 10.1109/TMM.2019.2911456 http://doi.org/10.1109/TMM.2019.2911456 . .

KS Kim , , , DN Zhang , , , MC Kang , , , 等 . . Improved simple linear iterative clustering superpixels . . IEEE Int Symp on Consumer Electronics , , 2013 . . p.259 - - 260 . . DOI: 10.1109/ISCE.2013.6570216 http://doi.org/10.1109/ISCE.2013.6570216 . .

A Levin , , , D Lischinski , , , Y Weiss . . A closed-form solution to natural image matting . . IEEE Trans Patt Anal Mach Intell , , 2007 . . 30 ( ( 2 ): ): 228 - - 242 . . DOI: 10.1109/TPAMI.2007.1177 http://doi.org/10.1109/TPAMI.2007.1177 . .

TY Lin , , , P DollȤr , , , R Girshick , , , 等 . . Feature pyramid networks for object detection . . Proc Conf on Computer Vision and Pattern Recognition , , 2017 . . p.2117 - - 2125 . . DOI: 10.1109/CVPR.2017.106 http://doi.org/10.1109/CVPR.2017.106 . .

J Ngiam , , , A Khosla , , , M Kim , , , 等 . . Multimodal deep learning . . Proc 28 th Int Conf on Machine Learning , , 2011 . . p.689 - - 696 . . . .

G Papandreou , , , T Zhu , , , LC Chen , , , 等 . . PersonLab: person pose estimation and instance segmentation with a bottom-up, part-based . . geometric embedding model , , 2018 . . .

YX Peng , , , WW Zhu , , , Y Zhao , , , 等 . . Cross-media analysis and reasoning: advances and directions . . Front Inform Technol Electron Eng , , 2017 . . 18 ( ( 1 ): ): 44 - - 57 . . DOI: 10.1631/FITEE.1601787 http://doi.org/10.1631/FITEE.1601787 . .

YX Peng , , , X Huang , , , YZ Zhao . . An overview of crossmedia retrieval: concepts, methodologies, benchmarks, and challenges . . IEEE Trans Circ Syst Video Technol , , 2018 . . 28 ( ( 9 ): ): 2372 - - 2385 . . DOI: 10.1109/TCSVT.2017.2705068 http://doi.org/10.1109/TCSVT.2017.2705068 . .

YX Peng , , , JW Qi , , , X Huang . . Current research status and prospects on multimedia content understanding . . J Comput Res Devel , , 2019 . . 56 ( ( 1 ): ): 187 - - 212 . . DOI: 10.7544/issn1000-1239.2019.20180770 http://doi.org/10.7544/issn1000-1239.2019.20180770 . .

SQ Ren , , , KM He , , , R Girshick , , , 等 . . Faster R-CNN: towards real-time object detection with region proposal networks . . IEEE Trans Patt Anal Mach Intell , , 2017 . . 39 ( ( 6 ): ): 1137 - - 1149 . . DOI: 10.1109/TPAMI.2016.2577031 http://doi.org/10.1109/TPAMI.2016.2577031 . .

E Ristani , , , C Tomasi . . Features for multi-target multicamera tracking and re-identification . . Proc IEEE Conf on Computer Vision and Pattern Recognition , , 2018 . . p.6036 - - 6046 . . DOI: 10.1109/CVPR.2018.00632 http://doi.org/10.1109/CVPR.2018.00632 . .

C Rother , , , V Kolmogorov , , , A Blake . . pGrabCutq: interactive foreground extraction using iterated graph cuts . . ACM Trans Graph , , 2004 . . 23 ( ( 3 ): ): 309 - - 314 . . DOI: 10.1145/1015706.1015720 http://doi.org/10.1145/1015706.1015720 . .

K Simonyan , , , A Zisserman . . Very deep convolutional networks for large-scale image recognition , , 2015 . . https://arxiv.org/abs/1409.1556 https://arxiv.org/abs/1409.1556 , , . .

SJ Song , , , W Zhang , , , JY Liu , , , 等 . . Unsupervised person image generation with semantic parsing transformation , , 2019 . . https://arxiv.org/abs/1904.03379 https://arxiv.org/abs/1904.03379 , , . .

A Vaswani , , , N Shazeer , , , N Parmar , , , 等 . . Attention is all you need . . Advances in Neural Information Processing Systems , , 2017 . . p.5998 - - 6008 . . . .

FT Xia , , , P Wang , , , XJ Chen , , , 等 . . Joint multi-person pose estimation and semantic part segmentation . . Proc IEEE Conf on Computer Vision and Pattern Recognition , , 2017 . . p.6769 - - 6778 . . DOI: 10.1109/CVPR.2017.644 http://doi.org/10.1109/CVPR.2017.644 . .

SF Zhang , , , XY Zhu , , , Z Lei , , , 等 . . S3FD: single shot scale-invariant face detector . . Proc IEEE Int Conf on Computer Vision , , 2017 . . p.192 - - 201 . . DOI: 10.1109/ICCV.2017.30 http://doi.org/10.1109/ICCV.2017.30 . .

BL Zhou , , , A Khosla , , , A Lapedriza , , , 等 . . Learning deep features for discriminative localization . . Proc IEEE Conf on Computer Vision and Pattern Recognition , , 2016 . . p.2921 - - 2929 . . DOI: 10.1109/CVPR.2016.319 http://doi.org/10.1109/CVPR.2016.319 . .

JY Zhu , , , T Park , , , P Isola , , , 等 . . Unpaired imageto-image translation using cycle-consistent adversarial networks . . Proc IEEE Int Conf on Computer Vision , , 2017 . . p.2223 - - 2232 . . DOI: 10.1109/ICCV.2017.244 http://doi.org/10.1109/ICCV.2017.244 . .

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Integrated communication and localization in millimeter-wave systems

Artificial intelligence and statistics