IEEE International Conference on Acoustics Speech and Signal Processing 2002
DOI: 10.1109/icassp.2002.1006174
|View full text |Cite
|
Sign up to set email alerts
|

An unequal error protection method for progressively compressed 3-D meshes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2005
2005
2005
2005

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…We achieve this by reducing the number of transmitted triangles. In contrast, in Al-Regib et al [2002], we reduce the number of source-coding bits by using coarser quantizers for the geometry information, while we transmit all triangles. This article is organized according to the following plan.…”
Section: Introductionmentioning
confidence: 95%
See 1 more Smart Citation
“…We achieve this by reducing the number of transmitted triangles. In contrast, in Al-Regib et al [2002], we reduce the number of source-coding bits by using coarser quantizers for the geometry information, while we transmit all triangles. This article is organized according to the following plan.…”
Section: Introductionmentioning
confidence: 95%
“…The method proposed here lies within the "Bit Allocation" block where source and channel codes are optimized according to the channel behavior in order to maximize the expected decoded model quality. In a recent paper [Al-Regib et al 2002], we proposed an error-resilient transmission method for progressively compressed 3D models, where source and channel coders are designed independently. That is, the error-protection bit-budget is assumed given.…”
Section: Introductionmentioning
confidence: 99%
“…Some considered source coding by splitting a mesh into partitions, where each partition is an independent unit for encoding and decoding [2], [12]. Others adopted channel coding by adding redundancy into the bit stream to make it more robust against channel errors [1]. It deserves further investigation to integrate source coding and channel coding in one scheme.…”
Section: Previous Work and Proposed System Overviewmentioning
confidence: 99%