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Classification and interaction of new media instant music video based on deep learning under the background of artificial intelligence

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Abstract

With the continuous upgrading and improvement in the Internet and terminal equipment, many instant music videos share information with users through social platforms. This study explores the impact of new media technology on the content of instant music videos on the Internet under Artificial Intelligence (AI) technology to effectively distinguish the elegant and vulgar short videos and improve the quality of short videos on the Internet. Obscene and harmful instant music videos in the massive data are the bottleneck for its development. An improved deep learning model is proposed based on OPEN_NSFW using the AI image detection system technology of the Internet of Things with a powerful processing ability to image information. Experiments demonstrate that this model significantly reduces the false positive rate and improves the recall compared with the traditional machine learning computing model. Besides, it improves the accuracy when discriminating whether the publisher’s head image involves eroticism. In addition, this model can identify and classify the main content of instant music videos to optimize the content. This work provides the characteristic basis for the algorithm to judge and protect the original content. Combining algorithm recommendations and strengthening manual intervention promotes online instant music videos' sustainable and healthy development. These findings can provide an excellent technical guarantee and experimental references for the standardized development of the instant music video industry in the future.

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References

  1. Becker B, Holtgrefe S, Jung S et al (2006) Influence of the photoperiod on redox regulation and stress responses in Arabidopsis thaliana L. (Heynh.) plants under long- and short-day conditions. Planta 224(2):380–393. https://doi.org/10.1007/s00425-006-0222-3

    Article  Google Scholar 

  2. Ferguson CJ (2011) The influence of television and video game use on attention and school problems: A multivariate analysis with other risk factors controlled. J Psychiatr Res 45(6):808–813. https://doi.org/10.1016/j.jpsychires.2010.11.010

    Article  Google Scholar 

  3. Kucharczyk P, Sharaf M, Münstermann S (2012) On the influence of steel microstructure on short crack growth under cyclic loading. Int J Fatigue 41:83–89. https://doi.org/10.1016/j.ijfatigue.2011.12.005

    Article  Google Scholar 

  4. Lv Z (2019) Virtual reality in the context of the internet of things[J]. Neural Comput Appl 2:1–10

    Google Scholar 

  5. Vicente-Serrano SM, López-Moreno JI (2008) Differences in the non-stationary influence of the North Atlantic Oscillation on European precipitation under different scenarios of greenhouse gas concentrations[J]. Geophys Res Lett 35(18):168–182

    Article  Google Scholar 

  6. Liu Y, Liangyun O, Han C, Zhang L, Zhao Y (2016) The influence of Mn on the microstructure and mechanical properties of the Al–5Mg–Mn alloy solidified under near-rapid cooling. J Mater Res 31(8):1153–1162. https://doi.org/10.1557/jmr.2016.119

    Article  Google Scholar 

  7. Liang Y-L, Xing X, Cheng H, Dang J, Huang S, Han R, Liu X, Lv Q, Mishra S (2013) SafeVchat: a system for obscene content detection in online video chat services. ACM Trans Internet Technol 12(4):1–26. https://doi.org/10.1145/2499926.2499927

    Article  Google Scholar 

  8. Min W, Joyce R, Wong H-S, Guan L, Kung S-Y (2001) Dynamic resource allocation via video content and short-term traffic statistics. IEEE Trans Multimed 3(2):186–199. https://doi.org/10.1109/6046.923818

    Article  Google Scholar 

  9. Gao W, Tian YH, Huang T (2010) Vlogging: a survey of videoblogging technology on the web[J]. ACM Comput Surv 42(4):1–57

    Article  Google Scholar 

  10. Shen CW, Luong TH, Ho JT, Djailani I (2019) Social media marketing of IT service companies: analysis using a concept-linking mining approach. Ind Mark Manage 11:14

    Google Scholar 

  11. Shen CW, Min C, Wang CC (2019) Analyzing the trend of O2O commerce by bilingual text mining on social media[J]. Comput Hum Behav 101:474–483

    Article  Google Scholar 

  12. Turner F (2007) Who controls the internet? illusions of a borderless world (review). Technol C 49(1):296–297. https://doi.org/10.1353/tech.2008.0003

    Article  Google Scholar 

  13. Chauhan S, Singh B, Singh M (2021) Modified ant colony optimization based PID controller design for coupled tank system[J]. Eng Res Express 3(4):045005

    Article  Google Scholar 

  14. Vashishtha G, Kumar R (2021) An effective health indicator for the pelton wheel using a levy flight mutated genetic algorithm[J]. Meas Sci Technol 32(9):094003

    Article  Google Scholar 

  15. Vashishtha G, Kumar R (2021) Centrifugal pump impeller defect identification by the improved adaptive variational mode decomposition through vibration signals[J]. Eng Res Express 3(3):035041

    Article  Google Scholar 

  16. Vashishtha G, Kumar R (2021) Autocorrelation energy and aquila optimizer for MED filtering of sound signal to detect bearing defect in Francis turbine[J]. Meas Sci Technol 33(1):015006

    Article  Google Scholar 

  17. Chauhan S, Singh M, Aggarwal AK (2021) Design of a two-channel quadrature mirror filter bank through a diversity-driven multi-parent evolutionary algorithm[J]. Circuits Syst Signal Process 40(7):3374–3394

    Article  Google Scholar 

  18. Vashishtha G, Chauhan S, Singh M et al (2021) Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould algorithm[J]. Measurement 178:109389

    Article  Google Scholar 

  19. Chauhan S, Singh M, Aggarwal AK (2021) Bearing defect identification via evolutionary algorithm with adaptive wavelet mutation strategy[J]. Measurement 179:109445

    Article  Google Scholar 

  20. Chauhan S, Vashishtha G, Kumar A (2021) A symbiosis of arithmetic optimizer with slime mould algorithm for improving global optimization and conventional design problem. J Supercomput 78(5):6234–6274. https://doi.org/10.1007/s11227-021-04105-8

    Article  Google Scholar 

  21. Vashishtha G, Kumar R (2022) An amended grey wolf optimization with mutation strategy to diagnose bucket defects in Pelton wheel[J]. Measurement 187:110272

    Article  Google Scholar 

  22. Malarvizhi Kumar P & Choong Seon H (2021) Internet of things-based digital video intrusion for intelligent monitoring approach, Arabian J Sci Eng, pp 1-11

  23. Mahmoud NM, Fouad H, Soliman AM (2021) Smart healthcare solutions using the Internet of medical things for hand gesture recognition system[J]. Complex Intell Syst 7(3):1253–1264

    Article  Google Scholar 

  24. Cifuentes J, Sandoval Orozco AL, García Villalba LJ (2021) A survey of artificial intelligence strategies for automatic detection of sexually explicit videos[J], Multimed Tools Appl, pp 1-18

  25. Gayo-Avello PT, Metax D, Kalampokis E, Tambouris E (2013) Understanding the predictive power of social media[J]. Internet Res 23(5):544–559

    Article  Google Scholar 

  26. Ouyang C, La Rosa M, ter Hofstede AHM (2008) Toward web-scale workflows for film production[J]. IEEE Internet Comput 12(5):53–61

    Article  Google Scholar 

  27. Salomoni P, Mirri S, Ferretti S (2008) A multimedia broker to support accessible and mobile learning through learning objects adaptation[J]. Acm Trans Internet Technol 8(2):1–23

    Article  Google Scholar 

  28. Verhoeyen M, De Vriendt J, De Vleeschauwer D (2012) Optimizing for video storage networking with recommender systems[J]. Bell Labs Technical J 16(4):97–113

    Article  Google Scholar 

  29. Yan J, Katrinis K, May M (2006) Media- and TCP-friendly congestion control for scalable video streams[J]. IEEE Trans Multimed 8(2):196–206

    Article  Google Scholar 

  30. Zheng H, Boyce J (2001) An improved UDP protocol for video transmission over Internet-to-wireless networks[J]. IEEE Trans Multimed 3(3):356–365

    Article  Google Scholar 

  31. Cheng Xu, Liu J, Dale C (2013) Understanding the characteristics of internet instant music video sharing: a youtube-based measurement study[J]. IEEE Trans Multimed 15(5):1184–1194

    Article  Google Scholar 

  32. Kumar KG, Lipscomb JS, Ramchandra A (2001) The HotMedia architecture: progressive and interactive rich media for the Internet[J]. IEEE Trans Multimed 3(2):253–267

    Article  Google Scholar 

  33. Wang X, Schulzrinne H (2005) Incentive-compatible adaptation of Internet real-time multimedia[J]. IEEE J Sel Areas Commun 23(2):417–436

    Article  Google Scholar 

  34. Zhang Q, Xiang Z, Zhu W (2004) Cost-based cache replacement and server selection for multimedia proxy across wireless internet[J]. IEEE Trans Multimed 6(4):587–598

    Article  Google Scholar 

  35. Cartwright W (1997) New media and their application to the production of map products[J]. Comput Geosci 23(4):447–456

    Article  Google Scholar 

  36. Sardis F, Mapp G, Loo J, Aiash M, Vinel A (2013) On the investigation of cloud-based mobile media environments with service-populating and QoS-aware mechanisms. IEEE Trans Multimed 15(4):769–777. https://doi.org/10.1109/TMM.2013.2240286

    Article  Google Scholar 

  37. Liu CL, Yue Quan X, Hui W, Chen SS, Guo JJ (2013) Correlation and interaction visualization of altmetric indicators extracted from scholarly social network activities: dimensions and structure. J Med Internet Res 15(11):e259. https://doi.org/10.2196/jmir.2707

    Article  Google Scholar 

  38. Gholami-Kordkheili F, Wild V, Strech D (2013) The impact of social media on medical professionalism: a systematic qualitative review of challenges and opportunities[J]. J Med Internet Res 15(8):e184

    Article  Google Scholar 

  39. Archambault PM (2011) WikiBuild: a new application to support patient and health care professional involvement in the development of patient support tools. J Med Internet Res 13(4):e1961

    Article  MathSciNet  Google Scholar 

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Acknowledgements

The authors acknowledge the help from the university colleagues.

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Authors and Affiliations

  1. Students Affairs Office, Zhejiang College of Security Technology, Wenzhou, 325035, China

    Yuerong Su

  2. College of Education, Wenzhou University, Wenzhou, 325035, China

    Weiwei Sun

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  1. Yuerong Su
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Correspondence to Weiwei Sun.

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Su, Y., Sun, W. Classification and interaction of new media instant music video based on deep learning under the background of artificial intelligence. J Supercomput 79, 214–242 (2023). https://doi.org/10.1007/s11227-022-04672-4

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