Sciweavers

Share
WIAMIS
2009
IEEE

Archive film defect detection based on a hidden Markov model

10 years 11 days ago
Archive film defect detection based on a hidden Markov model
We propose a novel statistical approach to detect defects in digitized archive film by using temporal information across a number of frames modeled with an HMM. The HMM is trained for normal observation sequences and then applied within a framework to detect defective pixels by examining each new observation sequence and its subformations via a leave-one-out process. We compare against state-of-the-art results to demonstrate that the proposed method achieves better detection rates, with fewer false alarms.
Xiaosong Wang, Majid Mirmehdi
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where WIAMIS
Authors Xiaosong Wang, Majid Mirmehdi
Comments (0)
books