{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/115801"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/115801","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Streaming low-bandwidth real-time video using video super-resolution","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","abstract_has_math":false,"creators":["Vohra, Sanchit"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Patel, Sanjay"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:24:55Z","subjects":["video","compression","H264","super-resolution","super resolution","video super-resolution","real-time","streaming","teleoperations","autonomy"],"languages":["en","eng"],"rights":["Copyright 2022 Sanchit Vohra"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/115801","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Patel, Sanjay"]},{"key":"dc:creator","label":"Author","values":["Vohra, Sanchit"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05","2022-04-28"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"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":["video","compression","H264","super-resolution","super resolution","video super-resolution","real-time","streaming","teleoperations","autonomy"]}]},{"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 2022 Sanchit Vohra"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/115801"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","The student, Sanchit Vohra, accepted the attached license on 2022-04-28 at 14:55.","The student, Sanchit Vohra, submitted this Thesis for approval on 2022-04-28 at 14:55.","This Thesis was approved for publication on 2022-04-28 at 16:17.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18002 on 2022-11-11 at 17:54:10","Jalapeño is a real-time video streaming platform designed primarily for tele-operations. The platform uses a traditional video compression approach (H264) and pairs that with unique networking optimizations and artificial super-scaling to increase reliability and decrease bandwidth consumption. Jalapeño assumes the vehicle (client) is running the platform on a device with low computational capabilities. Conversely, the operator is controlling the vehicle on a system with very high resources. Additionally, the client network is assumed to be transmitting over a lossy wireless channel. Real-time streaming also has tighter constraints than traditional live-streaming, hence some networking algorithms that rely on introducing artificial stream delays are infeasible. Jalapeño must alleviate the issues of video streaming under heavy loss conditions with a low-powered client under the challenging real-time constraints. The networking layer closely monitors the quality of the stream and adjusts the parameters of the compression and transmission dynamically. We leverage the temporal scalable video codec capabilities of the open-source OpenH264 codec by Cisco to design a reconstruction algorithm that works under real-time constraints to mitigate packet loss. The prime feature is video super-resolution, a GAN based generator that is able to upscale a low-resolution stream from the client to high-definition frames while maintaining temporal consistency. This thesis also outlines an approach to build a large video dataset for unsupervised video learning and discusses compression-aware super-resolution to advance the framework to the next level."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Streaming low-bandwidth real-time video using video super-resolution"]}]}],"canonical_facts":{"dc:contributor":["Patel, Sanjay"],"dc:creator":["Vohra, Sanchit"],"dc:date":["2022-05","2022-04-28"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","The student, Sanchit Vohra, accepted the attached license on 2022-04-28 at 14:55.","The student, Sanchit Vohra, submitted this Thesis for approval on 2022-04-28 at 14:55.","This Thesis was approved for publication on 2022-04-28 at 16:17.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18002 on 2022-11-11 at 17:54:10","Jalapeño is a real-time video streaming platform designed primarily for tele-operations. The platform uses a traditional video compression approach (H264) and pairs that with unique networking optimizations and artificial super-scaling to increase reliability and decrease bandwidth consumption. Jalapeño assumes the vehicle (client) is running the platform on a device with low computational capabilities. Conversely, the operator is controlling the vehicle on a system with very high resources. Additionally, the client network is assumed to be transmitting over a lossy wireless channel. Real-time streaming also has tighter constraints than traditional live-streaming, hence some networking algorithms that rely on introducing artificial stream delays are infeasible. Jalapeño must alleviate the issues of video streaming under heavy loss conditions with a low-powered client under the challenging real-time constraints. The networking layer closely monitors the quality of the stream and adjusts the parameters of the compression and transmission dynamically. We leverage the temporal scalable video codec capabilities of the open-source OpenH264 codec by Cisco to design a reconstruction algorithm that works under real-time constraints to mitigate packet loss. The prime feature is video super-resolution, a GAN based generator that is able to upscale a low-resolution stream from the client to high-definition frames while maintaining temporal consistency. This thesis also outlines an approach to build a large video dataset for unsupervised video learning and discusses compression-aware super-resolution to advance the framework to the next level."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/115801"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Sanchit Vohra"],"dc:subject":["video","compression","H264","super-resolution","super resolution","video super-resolution","real-time","streaming","teleoperations","autonomy"],"dc:title":["Streaming low-bandwidth real-time video using video super-resolution"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:55Z"}