A Live Adaptive Streaming Solution for Enhancing Quality of Experience in Co-Created Opera

The collaborative nature of opera production offers a unique opportunity to strengthen societal cohesion and empower marginalized voices through storytelling. However, existing live streaming approaches, such as HTTP-Adaptive Streaming (HAS), are not equipped to handle the complexities of co-created opera content, resulting in suboptimal user experiences. To address these limitations, this article introduces the Live Stream Adaptation for Opera (LSAO), a solution designed as part of the EU Horizon 2020 TRACTION project. LSAO is a network-aware adaptive scheme designed to optimize the delivery of live co-created opera performances by dynamically adjusting audiovisual quality based on varying network conditions. Unlike traditional streaming solutions, LSAO prioritizes the unique demands of opera, ensuring seamless delivery and preserving artistic features. The evaluation of LSAO involved an online live opera show featuring four distinct performances by six artists located in globally distributed locations. Delivered to 35 remote viewers across 12 countries and 3 continents, the LSAO system was evaluated based on user feedback on the quality of their streaming experience. The results demonstrate the effectiveness of LSAO in enhancing audio and video quality levels, leading to heightened user enjoyment during live co-created opera performances. Through its approach and successful evaluation, LSAO represents a significant advancement in the delivery of live co-created opera content.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Broadcasting
Published
2025-03-31
DOI
https://doi.org/10.1109/tbc.2025.3541875
Citations
4
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
7.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Live Adaptive Streaming Solution for Enhancing Quality of Experience in Co-Created Opera

Rohit Verma, Anderson Augusto Simiscuka, Mohammed Amine Togou, Mikel Zorrilla et al.
4 citations
IEEE Transactions on Broadcasting
Virtual Reality Applications and Impacts
7.74
article

A Live Adaptive Streaming Solution for Enhancing Quality of Experience in Co-Created Opera

Rohit Verma, Anderson Augusto Simiscuka, Mohammed Amine Togou, Mikel Zorrilla, Gabriel‐Miro Muntean
article en
4 citations

Abstract

The collaborative nature of opera production offers a unique opportunity to strengthen societal cohesion and empower marginalized voices through storytelling. However, existing live streaming approaches, such as HTTP-Adaptive Streaming (HAS), are not equipped to handle the complexities of co-created opera content, resulting in suboptimal user experiences. To address these limitations, this article introduces the Live Stream Adaptation for Opera (LSAO), a solution designed as part of the EU Horizon 2020 TRACTION project. LSAO is a network-aware adaptive scheme designed to optimize the delivery of live co-created opera performances by dynamically adjusting audiovisual quality based on varying network conditions. Unlike traditional streaming solutions, LSAO prioritizes the unique demands of opera, ensuring seamless delivery and preserving artistic features. The evaluation of LSAO involved an online live opera show featuring four distinct performances by six artists located in globally distributed locations. Delivered to 35 remote viewers across 12 countries and 3 continents, the LSAO system was evaluated based on user feedback on the quality of their streaming experience. The results demonstrate the effectiveness of LSAO in enhancing audio and video quality levels, leading to heightened user enjoyment during live co-created opera performances. Through its approach and successful evaluation, LSAO represents a significant advancement in the delivery of live co-created opera content.

IEEE Transactions on BroadcastingVol. 71(2)
Vicomtech (ES), Technological University Dublin (IE), Dublin City University (IE)
Openalex Percentile: Top 3%
Virtual Reality Applications and Impacts
7.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Live Adaptive Streaming Solution for Enhancing Quality of Experience in Co-Created Opera — Rohit Verma, Anderson Augusto Simiscuka, et al. · IEEE Transactions on Broadcasting (2025) | TGRS Research Map | TGRS