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Progressive image coding for noisy channels

IEEE Signal Processing Letters, 1997
We cascade an existing image coder with carefully chosen error control coding, and thus produce a progressive image compression scheme whose performance on a noisy channel is significantly better than that of previously known techniques. The main idea is to trade off the available transmission rate between source coding and channel coding in an ...
P. Greg Sherwood, Kenneth Zeger
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Progressive video coding for storage applications

Proceedings., International Conference on Image Processing, 2002
This paper addresses the problem of video coding for storage applications. Storage applications require several features to a coding scheme such as robustness to dubbing, trick modes and the possibility of progressive transmission with an exact rate control.
Egger, O., Ebrahimi, T.
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Progressive coding of error diffused images

Proceedings. International Conference on Image Processing, 2003
We propose a new method to compress error diffused images with spatial scalability. This method is a kind of combination of inverse halftone and rehalftone. During inverse halftoning, we combine four dots into a pixel of a reduced image. Then, the reduced image is rehalftoned using an error diffusion algorithm.
Chul-Soo Lee, Hyun Wook Park
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Progress of Word Embedding in Code Generation

2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2019
How to use natural language to generate program code directly has become the focus of researchers, and realizing machine's understanding of natural language is an important foundation to solve this problem. In the natural language processing system based on deep learning, word embedding model can encode words and sentences, which significantly improves
Zhao Li 0007   +5 more
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Progressive video coding for noisy channels

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
We extend the work of Sherwood and Zeger (IEEE Signal Processing Letters, vol.4, p.189-91, 1997) to progressive video coding for noisy channels. By utilizing a three dimensional (3D) extension of the set partitioning in hierarchical trees (SPIHT) algorithm, we cascade the resulting 3D SPIHT video coder with the rate-compatible punctured convolutional ...
Zixiang Xiong   +2 more
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Fast progressive wavelet coding

Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096), 1999
Fast and efficient image compression can be achieved with the progressive wavelet coder (PWC) introduced. Unlike many previous wavelet coders, PWC does not rely on zerotrees or other ordering schemes based on parent-child wavelet relationships. PWC has a very simple structure, based on two key concepts: (1) data-independent reordering and blocking, and
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Segmentation-based progressive image coding

[Proceedings] DCC `93: Data Compression Conference, 2002
The authors present, as an image pyramid, an adaptive, tree-structured segmentation to facilitate progressive transmission. The new image pyramid is semantically more powerful than regular tessellations while syntactically simpler than free segmentation.
Xiaolin Wu, Yonggang Fang
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Codes on graphs: recent progress

Physica A: Statistical Mechanics and its Applications, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Progressive Video Coding for Noisy Channels

Journal of Visual Communication and Image Representation, 1999
Abstract We extend the work of Sherwood and Zeger to progressive video coding for noisy channels. By utilizing a three-dimensional (3D) extension of the set partitioning in hierarchical trees (SPIHT) algorithm, we cascade the resulting 3D SPIHT video coder with the rate-compatible punctured convolutional channel coder for transmission of video over a
Beong-Jo Kim   +3 more
openaire   +1 more source

Multidimensional convolutional code: progresses and bottlenecks

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03., 2003
Multidimensional (m-D, m/spl ges/2) finite support convolutional code has become a new area of research in the multidimensional system and signal processing. While the one-dimensional convolutional code and its variants have been thoroughly understood, the m-D counterpart still lacks unified notation and practical implementation.
Chalie Charoenlarpnopparut   +1 more
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