Channel modeling and its effect on the end-to-end distortion in wireless video communications

Soyak, E.; Eisenberg, Y.; Zhai, Fan; Berry, Randall A.; Pappas, Thrasyvoulos N.; Katsaggelos, A.K.

doi:10.1109/icip.2004.1421807

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Each description fits a packet as discussed in Section III. The SDC performance bound is evaluated according to (6).…”

Section: Experimental Results and Conclusionmentioning

confidence: 99%

“…This is a typical situation of layered coding, when the information contained in packet is usable if and only if packet has been properly received. In this situation, (5) is lower-bounded by (6) where also represents the expected end-to-end distortion of the SDC scheme when all data fit a single packet and assuming that is almost independent of the packet length (as inferred in [6]). …”

Section: A Two-description Casementioning

confidence: 99%

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A Flexible R-D-Based Multiple Description Scheme for JPEG 2000

Baccaglini

Tillo

Olmo

2007

IEEE Signal Process. Lett.

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Abstract-Multiple description coding (MDC) is a good way to combat packet losses in error-prone networks subject to packet erasures. However, redundancy tuning is often difficult, and this makes the generation of descriptions with good redundancy-ratedistortion performance a hard job. Moreover, the complexity of generating more than two descriptions represents a strong limitation to MDC. In this letter, we propose a method that exploits the data rate-distortion characteristics to generate multiple descriptions for JPEG 2000 with tunable redundancy levels. The identification of the best number of descriptions as a function of the network conditions is also addressed.

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“…Each description fits a packet as discussed in Section III. The SDC performance bound is evaluated according to (6).…”

Section: Experimental Results and Conclusionmentioning

confidence: 99%

Section: A Two-description Casementioning

confidence: 99%

A Flexible R-D-Based Multiple Description Scheme for JPEG 2000

Baccaglini

Tillo

Olmo

2007

IEEE Signal Process. Lett.

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Channel protection for H.264 compression in transportation video surveillance applications

Soyak

Tsaftaris

Katsaggelos

2011

2011 18th IEEE International Conference on Image Processing

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VAPOR: variance-aware per-pixel optimal resource allocation

Eisenberg

Zhai

Pappas³

et al. 2006

IEEE Trans. on Image Process.

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Characterizing the video quality seen by an end-user is a critical component of any video transmission system. In packet-based communication systems, such as wireless channels or the Internet, packet delivery is not guaranteed. Therefore, from the point-of-view of the transmitter, the distortion at the receiver is a random variable. Traditional approaches have primarily focused on minimizing the expected value of the end-to-end distortion. This paper explores the benefits of accounting for not only the mean, but also the variance of the end-to-end distortion when allocating limited source and channel resources. By accounting for the variance of the distortion, the proposed approach increases the reliability of the system by making it more likely that what the end-user sees, closely resembles the mean end-to-end distortion calculated at the transmitter. Experimental results demonstrate that variance-aware resource allocation can help limit error propagation and is more robust to channel-mismatch than approaches whose goal is to strictly minimize the expected distortion.

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Channel modeling and its effect on the end-to-end distortion in wireless video communications

Cited by 3 publications

References 8 publications

A Flexible R-D-Based Multiple Description Scheme for JPEG 2000

A Flexible R-D-Based Multiple Description Scheme for JPEG 2000

Channel protection for H.264 compression in transportation video surveillance applications

VAPOR: variance-aware per-pixel optimal resource allocation

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