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Content for
TR 26.904
Word version: 18.0.0
1…
5…
5
Use Cases
5.1
2D Video Use Cases
5.2
Stereoscopic 3D Video Use Cases
6
Evaluation of Solutions
6.1
2D Use Cases
6.2
Stereoscopic 3D Video
7
Conclusions
A
Assumptions for Simulation Method for Solutions on MBMS Services
B
Impact of Screen Size on Stereoscopic Video
C
Real World Statistics of VoD User Request
$
Change history
5
Use Cases
p. 8
5.1
2D Video Use Cases
p. 8
5.1.1
Adaptive HTTP Streaming and Caches
p. 8
5.1.2
UE Power Saving and Fast Stream Switching in MBMS
p. 9
5.1.3
Graceful Degradation
p. 9
5.1.3.1
Rate Adaptation in PSS When Entering Bad Reception Conditions
p. 9
5.1.3.2
Graceful Degradation in MBMS Services When Entering Bad Reception Conditions
p. 9
5.1.3.3
Graceful Degradation in Traffic Congestion
p. 9
5.1.3.4
Combined Support of Heterogeneous Devices and Graceful Degradation
p. 9
5.2
Stereoscopic 3D Video Use Cases
p. 10
5.2.1
Stereoscopic 3D Video Delivery
p. 10
5.2.2
External Viewing 3D Experience
p. 10
5.2.2.1
Introduction
p. 10
5.2.2.2
Video Eyewear 3D Experience
p. 10
5.2.2.3
Mobile Terminal Connected to a 3DTV Set
p. 11
6
Evaluation of Solutions
p. 12
6.1
2D Use Cases
p. 12
6.1.1
Enabling Codecs and Formats
p. 12
6.1.1.1
Scalable Video Coding
p. 12
6.1.1.1.1
Introduction
p. 12
6.1.1.1.2
Solution Configuration
p. 14
6.1.2
Solution Integration Approaches
p. 14
6.1.2.1
Rate Adaptation for PSS using SVC with Priority-Based Transmission Scheduling
p. 14
6.1.2.2
Rate Adaptation using SVC MGS Scalability
p. 16
6.1.2.2.1
Rate Adaptation Approach
p. 16
6.1.2.2.2
Example
p. 17
6.1.2.3
Unequal Error Protection with SVC in eMBMS
p. 19
6.1.2.4
SVC Layer Aware Transmission in eMBMS
p. 19
6.1.2.5
Fast Stream Switching in eMBMS
p. 20
6.1.3
Performance Evaluation
p. 21
6.1.3.1
Unequal Error Protection in eMBMS
p. 21
6.1.3.2
SVC Layer Aware Transmission for Coverage Improvement in eMBMS
p. 25
6.1.3.3
SVC Layer Aware Transmission for Capacity Improvement in eMBMS
p. 28
6.1.3.3.1
Introduction
p. 28
6.1.3.3.2
Evaluation Setup
p. 28
6.1.3.3.3
Capacity Improvement
p. 29
6.1.3.3.4
Performance Evaluation
p. 32
6.1.3.4
Graceful Degradation for MBMS Using SVC
p. 37
6.1.3.4.1
Introduction
p. 37
6.1.3.4.2
Test system
p. 38
6.1.3.4.3
Test sequences
p. 40
6.1.3.4.4
Transmission Schemes
p. 41
6.1.3.4.5
Quality metric
p. 42
6.1.3.4.6
Simulation Results
p. 43
6.1.3.5
Coding Results using KTA
p. 45
6.1.3.5.1
Experimental Setup
p. 45
6.1.3.5.2
Results
p. 46
6.1.3.6
Coding Results using JSVM
p. 51
6.1.3.6.1
JSVM
p. 51
6.1.3.6.2
Experimental Setup
p. 51
6.1.3.6.3
Sequences
p. 51
6.1.3.6.4
Coding Tools
p. 51
6.1.3.6.5
Results
p. 52
6.1.3.6.5.1
320x240 (QVGA) SNR Scalability (Configuration 1)
p. 52
6.1.3.6.5.2
320x240 (QVGA) SNR Scalability (Configuration 2)
p. 55
6.1.3.7
Caching Efficiency Improvement with SVC for Adaptive HTTP VoD
p. 58
6.1.3.7.1
Overview
p. 58
6.1.3.7.2
Effect of Multiple Representations on the Caching Efficiency
p. 59
6.1.3.7.3
Scalable Video Coding and Impact on the Caching Efficiency
p. 60
6.1.3.7.4
Caching Algorithm
p. 61
6.1.3.7.5
Congestion Control
p. 61
6.1.3.7.6
Performance Targets
p. 62
6.1.3.7.7
Simulation Results
p. 62
6.2
Stereoscopic 3D Video
p. 66
6.2.1
Enabling Codecs and Formats
p. 66
6.2.1.1
Introduction
p. 66
6.2.1.2
Packing Formats
p. 66
6.2.1.2.1
Frame Compatible Video
p. 66
6.2.1.2.2
Temporal Interleaving
p. 67
6.2.1.3
Multi-view Video
p. 68
6.2.2
Performance Evaluation
p. 68
6.2.2.1
Performance Evaluation of the Compression Efficiency
p. 68
6.2.2.1.1
Simulation Setup
p. 68
6.2.2.1.2
Performance Evaluation
p. 69
7
Conclusions
p. 71
A
Assumptions for Simulation Method for Solutions on MBMS Services
p. 73
B
Impact of Screen Size on Stereoscopic Video
p. 80
B.1
Geometry of Stereoscopic Video
p. 80
B.2
Depth Range
p. 80
B.3
Effect of Display Size Changes
p. 81
B.4
Discussion
p. 82
C
Real World Statistics of VoD User Request
p. 83
$
Change history
p. 85