{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/122178"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/122178","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Saliency-aware viewport-guidance-enabled 360-video streaming system","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01","abstract_has_math":false,"creators":["Zhang, Yinjie"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Nahrstedt, Klara"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12","date_published":"2023-12","updated_at":"2026-07-22T22:25:00Z","subjects":["360-video","Viewing Mode Prediction","Viewport Guidance","Tile-based Adaptive Streaming"],"languages":["en","eng"],"rights":["Copyright 2023 Yinjie Zhang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/122178","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Nahrstedt, Klara"]},{"key":"dc:creator","label":"Author","values":["Zhang, Yinjie"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-12","2023-12-06"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["360-video","Viewing Mode Prediction","Viewport Guidance","Tile-based Adaptive Streaming"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Yinjie Zhang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/122178"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01","The student, Yinjie Zhang, accepted the attached license on 2023-12-06 at 12:47.","The student, Yinjie Zhang, submitted this Thesis for approval on 2023-12-06 at 12:50.","This Thesis was approved for publication on 2023-12-06 at 16:16.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20153 on 2024-03-01 at 13:32:41","The emergence of 360-video streaming systems has brought about new possibilities for immersive video experiences while requiring significantly higher bandwidth than traditional 2D video streaming. Existing viewport prediction methods, while attempting to tackle this challenge, often overlook compelling storylines outside the immediate viewport. To address this limitation, we introduce SAVG360, an innovative viewport guidance system leveraging global content information on the server side to enrich streaming with the most saliently captured storyline of 360-videos. The saliency analysis is conducted offline on a powerful GPU-equipped media server, and the resulting saliency-aware guidance information is encoded and shared with clients via the Saliency-aware Guidance Descriptor. This proactive guidance system empowers users to seamlessly switch between video storylines, providing the flexibility to either adhere to or deviate from guided narratives through a novel user interface. Additionally, our contribution encompasses a Viewing Mode Prediction algorithm and a Least Saliency (LS) caching policy, both designed to enhance video delivery within the SAVG360 framework. Evaluation based on user viewport traces in 360-videos reveals that SAVG360 outperforms existing tiled streaming solutions, demonstrating superior overall viewport prediction accuracy and the ability to deliver high-quality 360 videos within bandwidth constraints. Moreover, SAVG360 enhances the hit rate of requested tiles through the utilization of the LS caching policy when compared to traditional cache replacement policies. Furthermore, a user study highlights the advantages of our proactive guidance approach over conventional methods that predict and stream content based on users' gaze direction."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Saliency-aware viewport-guidance-enabled 360-video streaming system"]}]}],"canonical_facts":{"dc:contributor":["Nahrstedt, Klara"],"dc:creator":["Zhang, Yinjie"],"dc:date":["2023-12","2023-12-06"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01","The student, Yinjie Zhang, accepted the attached license on 2023-12-06 at 12:47.","The student, Yinjie Zhang, submitted this Thesis for approval on 2023-12-06 at 12:50.","This Thesis was approved for publication on 2023-12-06 at 16:16.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20153 on 2024-03-01 at 13:32:41","The emergence of 360-video streaming systems has brought about new possibilities for immersive video experiences while requiring significantly higher bandwidth than traditional 2D video streaming. Existing viewport prediction methods, while attempting to tackle this challenge, often overlook compelling storylines outside the immediate viewport. To address this limitation, we introduce SAVG360, an innovative viewport guidance system leveraging global content information on the server side to enrich streaming with the most saliently captured storyline of 360-videos. The saliency analysis is conducted offline on a powerful GPU-equipped media server, and the resulting saliency-aware guidance information is encoded and shared with clients via the Saliency-aware Guidance Descriptor. This proactive guidance system empowers users to seamlessly switch between video storylines, providing the flexibility to either adhere to or deviate from guided narratives through a novel user interface. Additionally, our contribution encompasses a Viewing Mode Prediction algorithm and a Least Saliency (LS) caching policy, both designed to enhance video delivery within the SAVG360 framework. Evaluation based on user viewport traces in 360-videos reveals that SAVG360 outperforms existing tiled streaming solutions, demonstrating superior overall viewport prediction accuracy and the ability to deliver high-quality 360 videos within bandwidth constraints. Moreover, SAVG360 enhances the hit rate of requested tiles through the utilization of the LS caching policy when compared to traditional cache replacement policies. Furthermore, a user study highlights the advantages of our proactive guidance approach over conventional methods that predict and stream content based on users' gaze direction."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/122178"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Yinjie Zhang"],"dc:subject":["360-video","Viewing Mode Prediction","Viewport Guidance","Tile-based Adaptive Streaming"],"dc:title":["Saliency-aware viewport-guidance-enabled 360-video streaming system"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:00Z"}