Technology of Graphic & Image
|
2508-2513,2542

Bitrate adaptive strategy of panoramic video based on viewpoint prediction

Liu Kefenga,b
Li Zepinga,b
a. State Key Laboratory of Public Big Data, b. College of Computer Science & Technology, Guizhou University, Guiyang 550025, China

Abstract

To solve the problems of video freezes and low quality of experience(QoE) in panoramic video transmission, this paper proposed a bitrate adaptive strategy based on viewpoint prediction(VPBAS) by studying the current popular viewpoint adaptive transmission scheme. Firstly, this paper constructed a viewpoint prediction model based on long short-term memory network and full convolutional network. The model concatenated the viewpoint data and video saliency information to realize the mutual complement and correction of different modal data, so as to improve the accuracy of viewpoint prediction. Secondly, the client used the random forest algorithm to predict the current available bandwidth, and selected the bitrate for video segments according to the prediction results and available bandwidth information. Finally, the client sent the selected bitrate information to the server regularly, and the server pushed the panoramic video stream of the best bitrate to the client according to the feedback information. It repeated this interactive process continuously during the video playback until the client finished watching. Experimental results show that VPBAS can effectively improve the user's viewing experience under bandwidth limitation compared with other schemes.

Foundation Support

国家自然科学基金资助项目(61462014)
贵州省科学技术基金资助项目(S2017JP00401185093)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0784
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Graphic & Image
Pages: 2508-2513,2542
Serial Number: 1001-3695(2023)08-042-2508-06

Publish History

[2023-02-27] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

刘克峰, 李泽平. 基于视点预测的全景视频码率自适应策略 [J]. 计算机应用研究, 2023, 40 (8): 2508-2513,2542. (Liu Kefeng, Li Zeping. Bitrate adaptive strategy of panoramic video based on viewpoint prediction [J]. Application Research of Computers, 2023, 40 (8): 2508-2513,2542. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)