Hossein Ghanei-Yakhdan

Work place: Department of Electrical and Computer Engineering, Yazd University Yazd, Iran

E-mail: hghaneiy@yazd.ac.ir

Website: https://www.researchgate.net/profile/Hossein-Ghanei-Yakhdan

Research Interests: Video Processing, Digital Watermarking, Image Processing, Graph and Image Processing


Hossein Ghanei-Yakhdan was born in Yazd, Iran in 1966. He received the B.Sc. degree in electrical engineering from Isfahan University of Technology in 1989, the M.Sc. degree in 1993 from K. N. Toosi University of Technology and the Ph.D degree in 2009 from Ferdowsi University of Mashhad. Since 1994, he has been with the Department of Electrical and Computer Engineering, Yazd University. His research interests are in digital video and image processing, error concealment and error-resilient coding for video communication and digital video and image watermarking.

Author Articles
A Novel Boundary Matching Algorithm for Video Temporal Error Concealment

By Seyed Mojtaba Marvasti-Zadeh Hossein Ghanei-Yakhdan Shohreh Kasaei

DOI: https://doi.org/10.5815/ijigsp.2014.06.01, Pub. Date: 8 May 2014

With the fast growth of communication networks, the video data transmission from these networks is extremely vulnerable. Error concealment is a technique to estimate the damaged data by employing the correctly received data at the decoder. In this paper, an efficient boundary matching algorithm for estimating damaged motion vectors (MVs) is proposed. The proposed algorithm performs error concealment for each damaged macro block (MB) according to the list of identified priority of each frame. It then uses a classic boundary matching criterion or the proposed boundary matching criterion adaptively to identify matching distortion in each boundary of candidate MB. Finally, the candidate MV with minimum distortion is selected as an MV of damaged MB and the list of priorities is updated. Experimental results show that the proposed algorithm improves both objective and subjective qualities of reconstructed frames without any significant increase in computational cost. The PSNR for test sequences in some frames is increased about 4.7, 4.5, and 4.4 dB compared to the classic boundary matching, directional boundary matching, and directional temporal boundary matching algorithm, respectively.

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