A Hybrid Frame Concealment Algorithm for H.264/AVC

In packet-based video transmissions, packets loss due to channel errors may result in the loss of the whole video frame. Recently, many error concealment algorithms have been proposed in order to combat channel errors; however, most of the existing algorithms can only deal with the loss of macrobloc...

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Veröffentlicht in:IEEE transactions on image processing Jg. 19; H. 1; S. 98 - 107
Hauptverfasser: Bo Yan, Gharavi, H.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.01.2010
Institute of Electrical and Electronics Engineers
Schlagworte:
Applied sciences
Automatic voltage control
Bit rate
Decoding
Error concealment
error-resilient video transmission
Exact sciences and technology
H.264/AVC
Image coding
Image processing
Information, signal and communications theory
Interpolation
ISO standards
Miscellaneous
Propagation losses
Quality of service
Signal processing
Telecommunications and information theory
Video compression
Wireless networks
Video coding
Performance evaluation
Packet switching
Motion estimation
Error concealment
error-resilient video transmission
Video signal
Data transmission
H.264/AVC
Algorithm
Video signal processing
Simulation
Signal processing
Error detection
Signal transmission
Error correction
Transmission loss
ISSN:1057-7149, 1941-0042, 1941-0042
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Beschreibung
Zusammenfassung:In packet-based video transmissions, packets loss due to channel errors may result in the loss of the whole video frame. Recently, many error concealment algorithms have been proposed in order to combat channel errors; however, most of the existing algorithms can only deal with the loss of macroblocks and are not able to conceal the whole missing frame. In order to resolve this problem, in this paper, we have proposed a new hybrid motion vector extrapolation (HMVE) algorithm to recover the whole missing frame, and it is able to provide more accurate estimation for the motion vectors of the missing frame than other conventional methods. Simulation results show that it is highly effective and significantly outperforms other existing frame recovery methods.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2009.2032311