VIDEO QUALITY ASSESSMENT BASED ON ADAPTIVE BLOCK-SIZE TRANSFORM JUST-NOTICEABLE DIFFERENCE MODEL
Refereed conference paper presented and published in conference proceedings


Times Cited
Web of Science6WOS source URL (as at 24/11/2020) Click here for the latest count
Altmetrics Information
.

Other information
AbstractIn this paper, we propose a full reference Video Quality Assessment (VQA) algorithm based on the Adaptive Block-size Transform Just-Noticeable Difference (ABT-JND) model. Firstly, ABT-JND is introduced for its efficiency of modeling the Human Vision System (HVS) characteristics. Based on the ABT-JND model, the full reference VQA is developed, by capturing HVS responses of spatio-temporal distortions over different block-size transforms. Experimental results have demonstrated that the proposed VQA outperforms other VQA methods, while slightly poorer than MOVIE. However, it maintains a very simple formulation. Since the proposed VQA performs on transform domain, it could be easily applied on many related applications, such as video compression, watermarking, and so on.
All Author(s) ListMa L, Zhang F, Li SN, Ngan KN
Name of ConferenceIEEE International Conference on Image Processing
Start Date of Conference26/09/2010
End Date of Conference29/09/2010
Place of ConferenceHong Kong
Country/Region of ConferenceChina
Detailed descriptionorganized by IEEE,
Year2010
Month1
Day1
PublisherIEEE
Pages2501 - 2504
eISBN978-1-4244-7994-8
ISSN1522-4880
LanguagesEnglish-United Kingdom
KeywordsAdaptive Block-size Transform (ABT); Human Vision System (HVS); Just-Noticeable Difference (JND); Video Quality Assessment (VQA)
Web of Science Subject CategoriesEngineering; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology

Last updated on 2020-25-11 at 00:20