{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:06:45Z","timestamp":1776179205151,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031204999","type":"print"},{"value":"9783031205002","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-20500-2_20","type":"book-chapter","created":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T05:12:32Z","timestamp":1672549952000},"page":"242-255","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["EdgeVR360: Edge-Assisted Multiuser-Oriented Intelligent 360-degree Video Delivery Scheme over\u00a0Wireless Networks"],"prefix":"10.1007","author":[{"given":"Zihao","family":"Chen","sequence":"first","affiliation":[]},{"given":"Longhao","family":"Zou","sequence":"additional","affiliation":[]},{"given":"Xiaofeng","family":"Tao","sequence":"additional","affiliation":[]},{"given":"Long","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Gabriel-Miro","family":"Muntean","sequence":"additional","affiliation":[]},{"given":"Xu","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,1]]},"reference":[{"key":"20_CR1","unstructured":"Alexandros, S.: Virtual Reality Has Been Boosted by Coronavirus - Here\u2019s How to Avoid It Leading Us to Dystopia, June 2020"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Mao, H., Netravali, R., Alizadeh, M.: Neural adaptive video streaming with pensieve. In: Proceedings of the Conference of the ACM Special Interest Group on Data Communication, pp. 197\u2013210. ACM (2017)","DOI":"10.1145\/3098822.3098843"},{"key":"20_CR3","unstructured":"Schulman, J., Wolski, F., Dhariwal, P., Radford, A., Klimov, O.: Proximal policy optimization algorithms. CoRR, abs\/1707.06347 (2017)"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Youvalari, R.G., Aminlou, A., Hannuksela, M.M.: Analysis of regional down-sampling methods for coding of omnidirectional video. In: 2016 Picture Coding Symposium (PCS), pp. 1\u20135 (2016)","DOI":"10.1109\/PCS.2016.7906403"},{"issue":"5","key":"20_CR5","doi-asserted-by":"publisher","first-page":"2342","DOI":"10.1109\/TIP.2018.2885482","volume":"28","author":"L Li","year":"2019","unstructured":"Li, L., Li, Z., Ma, X., Yang, H., Li, H.: Advanced spherical motion model and local padding for 360$$^{\\circ }$$ video compression. IEEE Trans. Image Process. 28(5), 2342\u20132356 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"20_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1007\/978-3-030-37734-2_25","volume-title":"MultiMedia Modeling","author":"Z Chen","year":"2020","unstructured":"Chen, Z., Wang, X., Zhou, Yu., Zou, L., Jiang, J.: Content-aware cubemap projection for panoramic image via deep Q-learning. In: Ro, Y.M., et al. (eds.) MMM 2020. LNCS, vol. 11962, pp. 304\u2013315. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-37734-2_25"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhao, P., Bian, K., Liu, Y., Song, L., Li, X.: DRL360: 360-degree video streaming with deep reinforcement learning. In: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, pp. 1252\u20131260, April 2019","DOI":"10.1109\/INFOCOM.2019.8737361"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Kan, N., Zou, J., Tang, K., Li, C., Liu, N., Xiong, H.: Deep reinforcement learning-based rate adaptation for adaptive 360-degree video streaming. In: ICASSP 2019\u20132019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4030\u20134034, May 2019","DOI":"10.1109\/ICASSP.2019.8683779"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Sassatelli, L., Winckler, M., Fisichella, T., Aparicio, R.: User-adaptive editing for 360 degree video streaming with deep reinforcement learning. In: Proceedings of the 27th ACM International Conference on Multimedia, pp. 2208\u20132210 (2019)","DOI":"10.1145\/3343031.3350601"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Jiang, Z., Zhang, X., Xu, Y., Ma, Z., Sun, J., Zhang, Y.: Reinforcement learning based rate adaptation for 360-degree video streaming. IEEE Trans. Broadcast. 1\u201315 (2020)","DOI":"10.1109\/TBC.2020.3028286"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Fu, J., Chen, X., Zhang, Z., Wu, S., Chen, Z.: 360SRL: a sequential reinforcement learning approach for ABR tile-based 360 video streaming. In: 2019 IEEE International Conference on Multimedia and Expo (ICME), pp. 290\u2013295. IEEE (2019)","DOI":"10.1109\/ICME.2019.00058"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Bilal, K., Erbad, A.: Edge computing for interactive media and video streaming. In: 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC), pp. 68\u201373. IEEE (2017)","DOI":"10.1109\/FMEC.2017.7946410"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Park, S., Bhattacharya, A., Yang, Z., Dasari, M., Das, S.R., Samaras, D.: Advancing user quality of experience in 360-degree video streaming. In: 2019 IFIP Networking Conference (IFIP Networking), pp. 1\u20139. IEEE (2019)","DOI":"10.23919\/IFIPNetworking46909.2019.8999460"},{"key":"20_CR14","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/MMUL.2011.71","volume":"18","author":"I Sodagar","year":"2011","unstructured":"Sodagar, I.: The MPEG-DASH standard for multimedia streaming over the internet. IEEE Multimedia 18, 62\u201367 (2011)","journal-title":"IEEE Multimedia"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Bao, Y., Wu, H., Zhang, T., Ramli, A.A., Xin, L.: Shooting a moving target: motion-prediction-based transmission for 360-degree videos. In: 2016 IEEE International Conference on Big Data (Big Data), pp. 1161\u20131170 (2016)","DOI":"10.1109\/BigData.2016.7840720"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Guan, Y., Zheng, C., Zhang, X., Guo, Z., Jiang, J.: Pano: optimizing 360$$^{\\circ }$$ video streaming with a better understanding of quality perception. In: Proceedings of the ACM Special Interest Group on Data Communication, pp. 394\u2013407, August 2019","DOI":"10.1145\/3341302.3342063"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Qian, F., Han, B., Xiao, Q., Gopalakrishnan, V.: Flare: practical viewport-adaptive 360-degree video streaming for mobile devices. In: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, pp. 99\u2013114 (2018)","DOI":"10.1145\/3241539.3241565"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Fan, C.-L., Lee, J., Lo, W.-C., Huang, C.-Y., Chen, K.-T., Hsu, C.-H.: Fixation prediction for 360$$\\circ $$ video streaming in head-mounted virtual reality. In: Proceedings of the 27th Workshop on Network and Operating Systems Support for Digital Audio and Video, pp. 67\u201372 (2017)","DOI":"10.1145\/3083165.3083180"},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Yin, X., Jindal, A., Sekar, V., Sinopoli, B.: A control-theoretic approach for dynamic adaptive video streaming over HTTP. In: Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, pp. 325\u2013338 (2015)","DOI":"10.1145\/2785956.2787486"},{"key":"20_CR20","unstructured":"Schulman, J., Levine, S., Moritz, P., Jordan, M.I., Abbeel, P.: Trust region policy optimization. CoRR, abs\/1502.05477 (2015)"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Lo, W., Fan, C., Lee, J., Huang, C., Chen, K., Hsu, C.: 360$$^{\\circ }$$ video viewing dataset in head-mounted virtual reality. In: Proceedings of the 8th ACM on Multimedia Systems Conference, pp. 211\u2013216, June 2017","DOI":"10.1145\/3083187.3083219"},{"issue":"11","key":"20_CR22","doi-asserted-by":"publisher","first-page":"2177","DOI":"10.1109\/LCOMM.2016.2601087","volume":"20","author":"J Van der Hooft","year":"2016","unstructured":"Van der Hooft, J., et al.: HTTP\/2-based adaptive streaming of HEVC Video Over 4G\/LTE networks. IEEE Commun. Lett. 20(11), 2177\u20132180 (2016)","journal-title":"IEEE Commun. Lett."},{"key":"20_CR23","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization (2017)"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Zou, L., Trestian, R., Muntean, G.-M.: DOAS: device-oriented adaptive multimedia scheme for 3GPP LTE systems. In: 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 2180\u20132184 (2013)","DOI":"10.1109\/PIMRC.2013.6666505"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20500-2_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T10:19:26Z","timestamp":1728641966000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20500-2_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031204999","9783031205002"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20500-2_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CAAI International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cicai.caai.cn\/#\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"472","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"164","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}