Feedback and error protection strategies for wireless progressive video transmission

Simple but meaningful models for a mobile radio channel are introduced and a channel-coding system based on high-memory rate-compatible punctured convolutional codes with an appropriate sequential decoding algorithm, the far-end error decoder (FEED), are presented. In combination with puncturing, we...

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Veröffentlicht in:IEEE transactions on circuits and systems for video technology Jg. 12; H. 6; S. 465 - 482
Hauptverfasser: Stockhammer, T., Jenkac, H., Weiss, C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.06.2002
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Applied sciences
Automatic repeat request
Channels
Convolutional codes
Decoding
Error correction codes
Error detection
Errors
Exact sciences and technology
Feedback
Feeds
Forward error correction
Image processing
Information, signal and communications theory
Land mobile radio
Mathematical models
Permissible error
Protection
Signal processing
Strategy
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Texture
Transmission and modulation (techniques and equipments)
Video compression
Video coding
Performance evaluation
Signal compression
Optimal allocation
Videocommunication
Wireless telecommunication
Error correction
Optimization
Digital transmission
ISSN:1051-8215, 1558-2205
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Beschreibung
Zusammenfassung:Simple but meaningful models for a mobile radio channel are introduced and a channel-coding system based on high-memory rate-compatible punctured convolutional codes with an appropriate sequential decoding algorithm, the far-end error decoder (FEED), are presented. In combination with puncturing, we devise a method for unequal error protection (UEP) and error localization within a progressively coded source message without any additional error detection code. The FEED-based channel-coding system does not aim to minimize the bit or word error probability, but to delay the first error within a data frame as far as possible. This channel-coding scheme and the FEED algorithm can be used efficiently with automatic repeat request (ARQ). We present different ARQ strategies. For all forward error-correction (FEC) schemes, bounds are specified which allow the estimation of the performance and appropriate rate allocation. We briefly discuss an efficient fine granular scalable video compression scheme, the progressive texture video codec (PTVC). The proposed scheme generates an embedded bit-stream for each frame and allows reference frames to be adjusted. These source and channel-coding algorithms are used to design several video communication systems based on FEC and ARQ methods. The resulting systems are presented and compared. Performance estimations based on bounding techniques and optimized rate-allocation algorithms are derived and applied. Experimental results show the improvement potential of the proposed systems compared to standard schemes. Video communication over very low bit-rate mobile channels with varying channel conditions is thus made possible.
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ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2002.800317