research-article

Storage and retrieval of compressed images

Authors:

F. Idris,

S. PanchanathanAuthors Info & Claims

IEEE Transactions on Consumer Electronics, Volume 41, Issue 3

Pages 937 - 941

https://doi.org/10.1109/30.468062

Published: 01 August 1995 Publication History

Abstract

In this paper, we propose a new technique for the storage and retrieval of compressed images. Here, the images are compressed using vector quantization and the codebook is used to generate a feature vector. This feature vector is used as an index to access the images in the database. This technique combines image compression with image indexing. In addition, it has lower storage and computation requirements compared with other techniques reported in the literature

Cited By

View all

Umamaheswaran SGanesh KKumar NSethupathi PAnbuudayasankar S(2015)Variants, meta-heuristic solution approaches and applications for image retrieval in business - comprehensive review and frameworkInternational Journal of Business Information Systems10.1504/IJBIS.2015.06726318:2(160-197)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1504/IJBIS.2015.067263
Chen HDing JSheu H(2014)Image retrieval based on quadtree classified vector quantizationMultimedia Tools and Applications10.1007/s11042-013-1492-y72:2(1961-1984)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1007/s11042-013-1492-y
Edmundson DSchaefer GGriwodz C(2013)Sorting JPEG images at a glanceProceedings of the 4th ACM Multimedia Systems Conference10.1145/2483977.2484000(172-177)Online publication date: 28-Feb-2013
https://dl.acm.org/doi/10.1145/2483977.2484000
Show More Cited By

Index Terms

Storage and retrieval of compressed images
1. Computing methodologies
  1. Computer graphics
    1. Image compression
    2. Image manipulation
2. Information systems
  1. Data management systems
    1. Data structures
      1. Data layout
        Data compression
  2. Information retrieval
    1. Document representation

Recommendations

Image retrieval for compressed and uncompressed images
ICICS'09: Proceedings of the 7th international conference on Information, communications and signal processing

To reduce the storage and transmission requirements in image applications, images are compressed while maintaining acceptable visual quality. In this paper, image retrieval using Vector Quantization (VQ) is explored. The VQ technique is tested on ...
Fast content access and retrieval of JPEG compressed images

Fast content access and content based retrieval of images are among the common web and signal processing applications; on the other hand, JPEG is the dominant format for image compression in a wide range of applications. In this paper, a simple and fast ...
Performance Evaluation of Image Retrieval Using VQ for Compressed and Uncompressed Images
ICETET '09: Proceedings of the 2009 Second International Conference on Emerging Trends in Engineering & Technology

To reduce the storage and transmission requirements in image applications, images are compressed while maintaining acceptable visual quality. In this paper, image retrieval using Vector Quantization (VQ) is explored. The VQ technique is tested on ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image IEEE Transactions on Consumer Electronics

IEEE Transactions on Consumer Electronics Volume 41, Issue 3

August 1995

596 pages

ISSN:0098-3063

Issue’s Table of Contents

Publisher

IEEE Press

Publication History

Published: 01 August 1995

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 18 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Umamaheswaran SGanesh KKumar NSethupathi PAnbuudayasankar S(2015)Variants, meta-heuristic solution approaches and applications for image retrieval in business - comprehensive review and frameworkInternational Journal of Business Information Systems10.1504/IJBIS.2015.06726318:2(160-197)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1504/IJBIS.2015.067263
Chen HDing JSheu H(2014)Image retrieval based on quadtree classified vector quantizationMultimedia Tools and Applications10.1007/s11042-013-1492-y72:2(1961-1984)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1007/s11042-013-1492-y
Edmundson DSchaefer GGriwodz C(2013)Sorting JPEG images at a glanceProceedings of the 4th ACM Multimedia Systems Conference10.1145/2483977.2484000(172-177)Online publication date: 28-Feb-2013
https://dl.acm.org/doi/10.1145/2483977.2484000
Janet BReddy A(2012)Index model for image retrieval using SIFT distortionInternational Journal of Intelligent Information and Database Systems10.1504/IJIIDS.2012.0470066:3(289-306)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1504/IJIIDS.2012.047006
Khapli VBhalchandra A(2009)Image retrieval for compressed and uncompressed imagesProceedings of the 7th international conference on Information, communications and signal processing10.5555/1818318.1818603(1140-1143)Online publication date: 8-Dec-2009
https://dl.acm.org/doi/10.5555/1818318.1818603
Daptardar AStorer J(2005)Content-Based image retrieval via vector quantizationProceedings of the First international conference on Advances in Visual Computing10.1007/11595755_61(502-509)Online publication date: 5-Dec-2005
https://dl.acm.org/doi/10.1007/11595755_61
Lu G(1999)Design issues of multimedia information indexing and retrieval systemsJournal of Network and Computer Applications10.1006/jnca.1999.009022:3(175-198)Online publication date: 1-Jul-1999
https://dl.acm.org/doi/10.1006/jnca.1999.0090
Idris FPanchanathan S(1997)Review of Image and Video Indexing TechniquesJournal of Visual Communication and Image Representation10.1006/jvci.1997.03558:2(146-166)Online publication date: 1-Jun-1997
https://dl.acm.org/doi/10.1006/jvci.1997.0355

View Options

View options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

Cited By

Index Terms

Recommendations

Image retrieval for compressed and uncompressed images

Fast content access and retrieval of JPEG compressed images

Performance Evaluation of Image Retrieval Using VQ for Compressed and Uncompressed Images

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations