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No-Reference Objective Video Quality Measure for Frame Freezing Degradation.
Emil Dumic1, Anamaria Bjelopera2
1Department of Electrical Engineering, University North, 42000 Varaždin, Croatia.
Sensors (Basel, Switzerland)
|November 14, 2019
Summary
This study introduces a new no-reference video quality measure (NR-FFM) to detect frame freezing in streamed videos. The NR-FFM shows promising results in estimating video quality, particularly for mobile transmission.
Area of Science:
- Computer Vision
- Multimedia Signal Processing
- Video Quality Assessment
Background:
- Frame freezing is a common artifact in streamed video, degrading user experience.
- Existing video quality assessment methods often require the original video (full-reference) or lack specificity for frame freezing.
- Accurate and efficient video quality assessment is crucial for real-time applications and network management.
Purpose of the Study:
- To develop a novel no-reference video quality measure (NR-FFM) specifically for detecting frame freezing artifacts.
- To evaluate the performance of the NR-FFM using a standard mobile video quality database.
- To explore the applicability of NR-FFM in various scenarios, including standalone use and combination with other quality metrics for mobile video transmission.
Main Methods:
- Development of the no-reference frame-freezing measure (NR-FFM) algorithm.
- Evaluation using 40 degraded video sequences from the LIVE mobile video database.
- Analysis of NR-FFM performance in standalone and combined application scenarios, including normalization strategies.
Main Results:
- The NR-FFM demonstrated promising correlation between estimated quality scores and user-assigned quality.
- The measure effectively identifies quality degradations caused by frame freezing in streamed videos.
- Performance was validated across different application contexts relevant to mobile video transmission.
Conclusions:
- The proposed NR-FFM is an effective tool for no-reference video quality assessment, specifically targeting frame freezing.
- The measure offers flexibility for use in diverse mobile video transmission scenarios.
- Further research can explore integration with other quality metrics for enhanced video quality monitoring.
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