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Region-Based Resource Allocation for Sports Video

Tobieson Rova, Axel LU and Kruse, Jonatan (2025) In Master's thesis in Mathematical Sciences FMAM05 20251
Mathematics (Faculty of Engineering)
Abstract
High-resolution video generates substantial volumes of data that exceed typical
network transmission capabilities, forcing a trade-off between video quality and
bandwidth constraints. This thesis explores region-based compression techniques
for sports video that intelligently allocate bits based on visual importance, preserving quality where it matters most while reducing bandwidth in less critical
areas.
Two primary approaches were developed and evaluated: spatial transformations that redistribute pixel density by lowering resolution for regions of less interest before encoding, and quantization-based methods that apply varying compression levels to different regions during the encoding process. The research utilized
sports video... (More)
High-resolution video generates substantial volumes of data that exceed typical
network transmission capabilities, forcing a trade-off between video quality and
bandwidth constraints. This thesis explores region-based compression techniques
for sports video that intelligently allocate bits based on visual importance, preserving quality where it matters most while reducing bandwidth in less critical
areas.
Two primary approaches were developed and evaluated: spatial transformations that redistribute pixel density by lowering resolution for regions of less interest before encoding, and quantization-based methods that apply varying compression levels to different regions during the encoding process. The research utilized
sports video content with field boundary data and action area information to guide
region prioritization across different viewport scenarios.
Both approaches performed well in preserving quality in critical areas while
allowing controlled degradation in less important regions such as audience sections
and out-of-field content. The quantization-based approach achieved more promising results in terms of perceptual quality improvements for high-priority regions.
However, both techniques demonstrate different advantages and limitations.
This work shows that region-aware compression effectively addresses the mismatch between high-resolution video and limited transmission capacity. These
region-aware compression strategies enable efficient delivery of high-quality sports
video content, preserving visual fidelity where it provides the greatest perceptual
value to viewers. (Less)
Popular Abstract (Swedish)
Allt högre videokvalitet kräver ökad bandbredd för att streama video till användare.
Vi undersöker sätt att öka videokvaliteten utan att öka bandbredden.
Vid sportvideo tar publikområden upp mycket bandbredd på grund av sina många detaljer och rörelse.
Om vi minskar hur mycket bandbredd vi använder för publiken har vi mer plats för detaljerad video i de viktigare områdena på planen.
Please use this url to cite or link to this publication:
author
Tobieson Rova, Axel LU and Kruse, Jonatan
supervisor
organization
course
FMAM05 20251
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Region-based video compression, Sports video optimization, ROI Encoding, VMAF, Region of Interest (ROI), Spatial transformations
publication/series
Master's thesis in Mathematical Sciences
report number
LUTFMA-3580-2025
ISSN
1404-6342
other publication id
2025:E31
language
English
id
9197422
date added to LUP
2025-06-17 13:35:21
date last changed
2025-06-17 13:35:21
@misc{9197422,
  abstract     = {{High-resolution video generates substantial volumes of data that exceed typical
network transmission capabilities, forcing a trade-off between video quality and
bandwidth constraints. This thesis explores region-based compression techniques
for sports video that intelligently allocate bits based on visual importance, preserving quality where it matters most while reducing bandwidth in less critical
areas.
Two primary approaches were developed and evaluated: spatial transformations that redistribute pixel density by lowering resolution for regions of less interest before encoding, and quantization-based methods that apply varying compression levels to different regions during the encoding process. The research utilized
sports video content with field boundary data and action area information to guide
region prioritization across different viewport scenarios.
Both approaches performed well in preserving quality in critical areas while
allowing controlled degradation in less important regions such as audience sections
and out-of-field content. The quantization-based approach achieved more promising results in terms of perceptual quality improvements for high-priority regions.
However, both techniques demonstrate different advantages and limitations.
This work shows that region-aware compression effectively addresses the mismatch between high-resolution video and limited transmission capacity. These
region-aware compression strategies enable efficient delivery of high-quality sports
video content, preserving visual fidelity where it provides the greatest perceptual
value to viewers.}},
  author       = {{Tobieson Rova, Axel and Kruse, Jonatan}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master's thesis in Mathematical Sciences}},
  title        = {{Region-Based Resource Allocation for Sports Video}},
  year         = {{2025}},
}