Measuring bitrate and quality trade-off in a fast region-of-interest based video coding

Azad, Salahuddin, Song, Wei, & Tjondronegoro, Dian W. (2011) Measuring bitrate and quality trade-off in a fast region-of-interest based video coding. Lecture Notes in Computer Science, 6524, pp. 442-453.

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Prevailing video adaptation solutions change the quality of the video uniformly throughout the whole frame in the bitrate adjustment process; while region-of-interest (ROI)-based solutions selectively retains the quality in the areas of the frame where the viewers are more likely to pay more attention to. ROI-based coding can improve perceptual quality and viewer satisfaction while trading off some bandwidth. However, there has been no comprehensive study to measure the bitrate vs. perceptual quality trade-off so far. The paper proposes an ROI detection scheme for videos, which is characterized with low computational complexity and robustness, and measures the bitrate vs. quality trade-off for ROI-based encoding using a state-of-the-art H.264/AVC encoder to justify the viability of this type of encoding method. The results from the subjective quality test reveal that ROI-based encoding achieves a significant perceptual quality improvement over the encoding with uniform quality at the cost of slightly more bits. Based on the bitrate measurements and subjective quality assessments, the bitrate and the perceptual quality estimation models for non-scalable ROI-based video coding (AVC) are developed, which are found to be similar to the models for scalable video coding (SVC).

Impact and interest:

2 citations in Scopus
2 citations in Web of Science®
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ID Code: 48853
Item Type: Journal Article
Refereed: Yes
Additional Information: Paper presented in Advances in Multimedia Modeling
17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, Proceedings, Part II
Keywords: Bitrate modeling, Quality modeling, Region-of-Interest, H.264
DOI: 10.1007/978-3-642-17829-0_42
ISSN: 0302-9743
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 Springer
Copyright Statement: The original publication is available at SpringerLink
Deposited On: 26 Feb 2012 22:49
Last Modified: 23 Jun 2017 13:23

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