Proceedings: April 2 - 4, 2002, Snowbird, Utah
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Alamitos, Calif. [u.a.]
IEEE Computer Society
2002
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XI, 487 Seiten Ill., graph. Darst. |
| ISBN: | 0769514774 0769514782 |
Internformat
MARC
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| 111 | 2 | |a Data Compression Conference |d 2002 |c Snowbird, Utah |j Verfasser |0 (DE-588)10052840-5 |4 aut | |
| 245 | 1 | 0 | |a Proceedings |b April 2 - 4, 2002, Snowbird, Utah |c DCC 2002, Data Compression Conference ; ed. by James A. Storer ... |
| 246 | 1 | 3 | |a DCC 2002 |
| 264 | 1 | |a Los Alamitos, Calif. [u.a.] |b IEEE Computer Society |c 2002 | |
| 300 | |a XI, 487 Seiten |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
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Datensatz im Suchindex
| _version_ | 1820868160837910528 |
|---|---|
| adam_text |
Contents
Technical
Sessions
Session 1
Iterated Denoising for
Image
Recovery
.
З
О.
Guleryuz
Epson Palo Alto Laboratory
Multiple
Description Coding of Predictively Encoded Sequences
.13
A. Jagmohan and K. Ratakonda
IBM T.J. Watson Research Center
On-Line Adaptation in Image Coding with a 2-D Tarp Filter
.23
P. Simard, D.
Steinkraus,
and H.
Malvar
Microsoft Research
Low Bit Rate Image Coding in the Scale Space
.33
X.Li
Sharp Laboratories of America
Image Compression Using an Efficient Edge Cartoon
+
Texture Model
.43
M. Wakin, J. Romberg, H. Choi, and R. Baraniuk
Rice University
Session
2
Computing Rate-Distortion Optimized Policies for Streaming
Media to Wireless Clients
.53
J. ChakareskC'
, P.A.
Chou',
and
В.
Aazhang'
Microsoft Corporation, *Rice University
Rate-Based versus Distortion-Based Optimal Joint Source-Channel Coding
.63
R. Hamzaoui, V.
Stanković,
and Z. Xiong
Universität
Leipzig, 'Texas A&M University
Globally Optimal Uneven Error-Protected Packetization
of Scalable Code Streams
.73
S. Dumitrescu, X. Wu, and Z. Wang
University of Western Ontario
Combining FEC and Optimal Soft-Input Source Decoding for the Reliable Transmission
of Correlated Variable-Length Encoded Signals
.83
J. Kliewer and R. Thobaben
University of Kiel
Zero-Error Source Coding with Maximum Distortion Criterion
.92
E. Tuncel, P. Koulgi, S. Regunathan. and K. Rose
University of California at Santa Barbara
Source Requantization: Successive
Degradation
and Bit Stealing
.102
Λ.
S. Cohen, S.C. Draper, E. Martinian, and G.W. Wornell
Massachusetts
Institute of
Technology
Session
3
Searching BWT Compressed Text with the
Boyer-Moore
Algorithm
and Binary Search
.112
T. Bell, M. Powell, A. Mukherjee', and D. Adjeroh'
University of Canterbury, 'University of Central Florida, 'West Virginia University
The Link Database: Fast Access to Graphs of the Web
.122
K. Randall, R.
Stata,
R. Wickremesinghe'
',
and J. Wiener
Compaq Systems Research Center, 'Duke University
Path Matching in Compressed Control Flow Traces
.132
Y. Zhang and R. Gupta
The University of Arizona
Searching in Compressed Dictionaries
.142
S.T. Klein and D. Shapira'
Bar Han University,
Brandeis
University
Session
4
An Analysis of Perceptual Artifacts in MPEG Scalable Audio Coding
.152
CD. Creusere
New Mexico State University
Robust Video Transmission over Binary Symmetric Channels with
Packet Erasures
.162
B. Banister, B.
Beizer,
and T. Fischer
Washington State University
Improved Fine Granular Scalable Coding with Inter-layer Prediction
.172
Y. He, X. Zhao, Y. Zhong, and S. Yang
Tsinghua University
Session
5
Incremental Calculation of Minimum-Redundancy Length-Restricted Codes
.182
M. Liddell and A. Moffat
The University of Melbourne
PPMexe: PPM for Compressing Software
.192
M. Drinié
and D. Kirovski'
University of California at Los Angeles, 'Microsoft Research
PPM: One Step to Practicality
.202
D. Shkarin
Institute for Dynamics of Geospheres
Context Tree Compression of Multi-component Map Images
.212
P. Kopylov and P.
Franti
University of Joensuu
Precise
Average Redundancy of an Idealized Arithmetic Coding
.222
M. Drmota, H.-K. Hwang', and W. Szpankowski*
Institut für Geometrie,
Institute of Statistical Science, 'Purdue University
Session
6
Quantized Frame Expansions in a Wireless Environment
.232
A.C.
Lozano",
J.
Kovačević',
and
M.
Andrews*
Massachusetts Institute of Technology, Lucent Technologies
Data Compression of Correlated Non-binary Sources
Using Punctured Turbo Codes
.242
Y. Zhao and J. Garcia-Frias
University of Delaware
Compression with Side Information Using Turbo Codes
.252
A. Aaron and B. Girod
Stanford University
ra-Channel Multiple Descriptions: Theory and Constructions
.262
R.
Puri,
S.S.
Pradhan, and K. Ramchandran
University of California at Berkeley, 'University of Michigan
Progressive Image Communication over Binary Channels with
Additive Bursty Noise
.272
F. Behnamfar, F. Alajaji, and T.
Linder
Queen's University
Syndrome Decoding and Performance Analysis of DFT Codes
with Bursty Erasures
.282
G. Rath and
С
Guillemot
Campus
de Beaulieu
Session
7
Quantizers with Uniform Encoders and Channel Optimized Decoders
.292
B.
Färber
and K. Zeger
University of California at San Diego
Quantization as Histogram Segmentation: Globally Optimal
Scalar Quantizer Design in Network Systems
.302
D. Muresan and M. Effros'
Stanford University, California Institute of Technology
Codecell
Contiguity in Optimal Fixed-Rate
and Entropy-Constrained Network Scalar Quantizers
.312
M. Effros and D. Muresan'
California Institute of Technology
,
'Stanford University
On Optimal Multi-resolution Scalar Quantization
.322
X. Wu and S. Dumitrescu
University of Western Ontario
Session 8
Fast
Motion Detection for Thin Client Compression
.332
B.O. Christiansen and K.E. Schauser
University of California at Santa Barbara
Index Compression through Document Reordering
.342
D.
Biandford
and G. Blelloch
Carnegie Mellon University
Bit Allocation in Sub-linear Time and the Multiple-Choice Knapsack Problem
.352
A.E. Mohr
University of Washington
Progressive Coding of Palette Images and Digital Maps
.362
S.
Forchhammer
and J.M. Salinas
Technical University of Denmark
Improved Behaviour of Tries by the "Symmetrization" of the Source
.372
Y. Reznik and W. Szpankowski'
RealNetworks, Inc., Purdue University
Session
9
A Source Coding Approach to Classification by Vector Quantization
and the Principle of Minimum Description Length
.382
J.Li
The Pennsylvania State University
Adaptive Parametric Vector Quantization by Natural Type Selection
.392
Y. Kochman and R. Zamir
Tel Aviv University
Reduced Complexity Quantization under Classification Constraints
.402
N.
Srinivasamurthy and A. Ortega
University of Southern California
Interpolation of Bandlimited Functions from Quantized Irregular Samples
.412
Z. Cvetkovic, I. Daubechies', and B.F. Logan
AT&T Shannon Lab, Princeton University
Omnidirectionally Balanced Multiwavelets for Vector Wavelet Transforms
.422
J.E. Fowler and L.
Hua
Mississippi State University
Joint Embedded Coding of Data and Grid Using First-Generation
Wavelet Transforms
.432
■J.E. Fowler and
Y. Wang
Mississippi State University
Poster Session
(listed alphabetically by first author)
Pattern Matching in BWT-Transformed Text
.445
D. Adjeroh, A. Mukherjee', T. Bell', M. Powell*, and
N.
Zhang'
West Virginia University, 'University of Central Florida, 'University of Canterbury
Geometry Compression of
3-D
Mesh Models Using a Joint Prediction
.446
J.-H.AhnandY.-S.Ho
Kwangju Institute of Science and Technology
Generalization of the BWT Transformation and Inversion Ranks
.447
Z. Arnavut
SUNY
College at
Fredonia
Sequencing Multiple Descriptions
.448
J.
Barros
and S. Servetto'
Munich University of Technology, 'Cornell University
LZAC Lossless Data Compression
.449
A.
Chu
Saratoga High School
A Parallel Algorithm for Lossless Image Compression by Block Matching
.450
L. Cinque, F.
Liberati,
and S.
De Agostino'
University of Rome, 'Armstrong Atlantic State University
Fast Peak Autocorrelation Finding for Periodicity-Exploiting
Compression Methods
.451
C. Constantinescu and R. Arps
IBM
Almadén
Research Center
A Wavelet Based Low Complexity Embedded Block Coding Algorithm
.452
B. Das and S. Banerjee
Indian Institute of Technology
Image Coding with the MAP Criterion
.453
T. Eriksson, M. Novak, and J.B. Anderson
Lund University
Diagnostically Lossless
3D
Wavelet Compression for Digital Angiogram Video
.454
D. Gibson, M.
Spann,
and S.I. Woolley
University of Birmingham
Overhead-Constrained Rate-Allocation for Scalable Video
Transmission over Networks
.455
B. Hong and A. Nosratinia
University of Texas at Dallas
Extended Golomb Codes for Binary Markov Sources
.456
E.S. Hong and
R.E. Ladner
University of Washington
A Character Elimination Algorithm for Lossless Data Compression
.457
M. Hosang
Brandeis
University
Rate Control Using Conditional Mean Estimator
.458
H.M. Kim, H.-S. Kim, and T. Acharya
Intel Corporation
On Coding of Sources with Two-Sided Geometric Distribution Using
Binary Decomposition
.459
A. Krivoulets
IT University of Copenhagen
Using Multiple Huffman Code Tables for Optimal Coding of DCT Blocks
.460
G. Lakhani
Texas Tech University
Low-Complexity Interpolation Coding for Server-Based Computing
.461
F. Li and J. Nieh
Columbia University
Embedded Coding of Palette Images in the Topological Space
.462
X.Li
Sharp Laboratories of America
Perceptual Preprocessing Techniques Applied to Video Compression:
Some Result Elements and Analysis
.463
G. Marquant
Philips Research France
Minimizing Distortion via Multiuser Resource Allocation
.464
M. Mecking and T.
Stockhammer
Munich University of Technology
Turbo Source Coding: A Noise-Robust Approach to Data Compression
.465
P.
Mitran
and J.
Bajcsy
McGill University
Compression Techniques for Active Video Content
.466
A. Neogi and T. Chiueh
State University of New York at Stony Brook
MPEG-7 Binary Format for XML Data
.467
U.
Niedermeier,
J.
Heuer',
A. Hutte/,
and W. Stechele
Munich University of Technology, 'Siemens
AG,
Corporate Technology
Compression of Image Block Means for Non-equal Size Partition
Schemes Using Delaunay
Triangulation
and Prediction
.468
N.N. Ponomarenko, K. Egiazarian, V.V. Lukin, and J.T. Astola'
National Aerospace University, Tampere University of Technology
String Matching with Stopper Compression
.469
J. Rautio, J. Tanninen', and J. Tarhio
Helsinki University of Technology, 'University of Joensuu
A Method for Compressing Lexicons
.470
S. Ristov and E. Laporte'
Rudjer
Boskovic
Institute,
Université de Mame-la-Vallée
Dictionary Design Algorithms for Vector Map Compression
.471
S. Shekhar, Y. Huang, and J. Djugash
University of Minnesota
Optimized Edgebreaker Encoding for Large and Regular Triangle Meshes
.472
A. Szymczak
Georgia Tech
Diagnostically Lossless Compression of Pipeline Inspection Data
.473
W.-C. Tham, S. Woolley, S. Cribbs', andD. Anderson
The University of Birmingham, 'Pipeline Integrity
Inťl
Group Ltd.
Compression Performance,
Absolutely!.
474
M.R. Titchener
The University of
Auckland
Compression
of
3D
Objects with Multistage Color-Depth Panoramic Maps
.475
C.-M. Tsar, W.-Y. Chang', C.-S. Chen', and G.Y. Tang1
Institute of Information Science, 'National Taiwan University
Improved Elastic Storage of Digital Still Images
.476
R.J. van
der Vleuten
Philips Research Laboratories
Low-Complexity Lossless and Fine-Granularity Scalable Near-Lossless Compression
of Color Images
.477
R.J. van
der Vleuten
Philips Research Laboratories
Rate Scalable Video Compression Based
on Flexible Block Wavelet Coding Technique
.478
M. Wei and H.
Chao'
University of North Texas, Zhongshan University
Wavelet-Based Lossy Compression of Baratropic Turbulence Simulation Data
.479
J.P. Wilson
University of Colorado at Boulder
DWT-Based Error Concealment Techniques
.480
N.
Yan
National University of Singapore
Less Redundant Codes for Variable Size Dictionaries
.481
Z. Yao and
N.
Rajpoot
University of Warwick
New Techniques for Bounding the Channel Capacity of
Read/Write Isolated Memory
.482
X. Yong and M. Golin
The Hong Kong University of Science
&
Technology
Computational Complexity Management of Motion Estimation
in Video Encoders
.483
Y. Zhao and I. Richardson
The Robert Gordon University
Semi-discrete Matrix Transforms (SDD) for Image and Video Compression
.484
S. Zyto, A. Grama, and W. Szpankowski
Purdue University
Author Index
.485 |
| any_adam_object | 1 |
| author2 | Storer, James Andrew 1953- |
| author2_role | edt |
| author2_variant | j a s ja jas |
| author_GND | (DE-588)172388031 |
| author_corporate | Data Compression Conference Snowbird, Utah |
| author_corporate_role | aut |
| author_facet | Storer, James Andrew 1953- Data Compression Conference Snowbird, Utah |
| author_sort | Data Compression Conference Snowbird, Utah |
| building | Verbundindex |
| bvnumber | BV014230414 |
| classification_rvk | SS 2002 |
| classification_tum | DAT 465f |
| ctrlnum | (OCoLC)634936060 (DE-599)BVBBV014230414 |
| discipline | Informatik |
| format | Conference Proceeding Book |
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| genre | (DE-588)1071861417 Konferenzschrift 2002 Snowbird Utah gnd-content |
| genre_facet | Konferenzschrift 2002 Snowbird Utah |
| id | DE-604.BV014230414 |
| illustrated | Illustrated |
| indexdate | 2025-01-10T13:19:57Z |
| institution | BVB |
| institution_GND | (DE-588)10052840-5 |
| isbn | 0769514774 0769514782 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009755740 |
| oclc_num | 634936060 |
| open_access_boolean | |
| owner | DE-739 DE-20 DE-91G DE-BY-TUM DE-188 |
| owner_facet | DE-739 DE-20 DE-91G DE-BY-TUM DE-188 |
| physical | XI, 487 Seiten Ill., graph. Darst. |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | IEEE Computer Society |
| record_format | marc |
| spelling | Data Compression Conference 2002 Snowbird, Utah Verfasser (DE-588)10052840-5 aut Proceedings April 2 - 4, 2002, Snowbird, Utah DCC 2002, Data Compression Conference ; ed. by James A. Storer ... DCC 2002 Los Alamitos, Calif. [u.a.] IEEE Computer Society 2002 XI, 487 Seiten Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Datenkompression (DE-588)4121121-2 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2002 Snowbird Utah gnd-content Datenkompression (DE-588)4121121-2 s 1\p DE-604 Storer, James Andrew 1953- (DE-588)172388031 edt Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009755740&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Proceedings April 2 - 4, 2002, Snowbird, Utah Datenkompression (DE-588)4121121-2 gnd |
| subject_GND | (DE-588)4121121-2 (DE-588)1071861417 |
| title | Proceedings April 2 - 4, 2002, Snowbird, Utah |
| title_alt | DCC 2002 |
| title_auth | Proceedings April 2 - 4, 2002, Snowbird, Utah |
| title_exact_search | Proceedings April 2 - 4, 2002, Snowbird, Utah |
| title_full | Proceedings April 2 - 4, 2002, Snowbird, Utah DCC 2002, Data Compression Conference ; ed. by James A. Storer ... |
| title_fullStr | Proceedings April 2 - 4, 2002, Snowbird, Utah DCC 2002, Data Compression Conference ; ed. by James A. Storer ... |
| title_full_unstemmed | Proceedings April 2 - 4, 2002, Snowbird, Utah DCC 2002, Data Compression Conference ; ed. by James A. Storer ... |
| title_short | Proceedings |
| title_sort | proceedings april 2 4 2002 snowbird utah |
| title_sub | April 2 - 4, 2002, Snowbird, Utah |
| topic | Datenkompression (DE-588)4121121-2 gnd |
| topic_facet | Datenkompression Konferenzschrift 2002 Snowbird Utah |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009755740&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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