Progressive texture video coding

Buchner, C.; Stockhammer, Thomas; Marpe, Detlev; Blattermann, G.; Heising, G.

doi:10.1109/icassp.2001.941294

Cited by 4 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Obviously, this drift results in an immediate decrease of the quality even if the transmission bit-rate is only slightly below the feedback bit-rate . In this case, only the frequent introduction of intra frames to completely remove the drift as presented in [40] can provide satisfying quality. Curve 8 of Fig.…”

Section: Ptvc In Network Environmentsmentioning

confidence: 92%

“…The principles of the framework are applicable to any kind of real-time video transmission. For video-streaming applications, for example, the introduction of an embedded bit-stream syntax for the entire group-of-pictures (GOP) by multiplexing the frames appropriately as proposed in [40] and [41] is beneficial. In addition, even for streaming of pre-recorded sequences over error-prone channels, this approach is applicable with some minor modifications.…”

Section: A System Overviewmentioning

confidence: 99%

“…Here, we only give a brief overview over the codec. For a detailed description of the PTVC, we refer to [40] and [41]. To simplify the codec description and to focus on the main features, we present a simplified version of the PTVC in the following.…”

Section: B Progressive Texture Video Codingmentioning

confidence: 99%

See 2 more Smart Citations

Feedback and error protection strategies for wireless progressive video transmission

Stockhammer

Jenkac

Weiß

2002

IEEE Trans. Circuits Syst. Video Technol.

Self Cite

View full text Add to dashboard Cite

In this work, feedback and error-protection strategies for wireless progressive video transmission are presented and evaluated. 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. Furthermore, 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. In a change of paradigm, 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. In addition, this channel-coding scheme and the FEED algorithm can be used efficiently in an Automatic Repeat reQuest (ARQ) environment. We present different ARQ strategies. For all forward error-correction schemes bounds are specified which allow the estimation of the performance and appropriate rate allocation. Additionally, 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 to adjust the reference frames. These source and channel-coding algorithms are used to design several video communication systems based on forward error-correction 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 extraordinary 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.Index Terms-Feedback-based video transmission, H.26L, progressive/scalable video coding, rate-distortion optimization, unequal error protection, wireless video transmission.

show abstract

Section: Ptvc In Network Environmentsmentioning

confidence: 92%

Section: A System Overviewmentioning

confidence: 99%