Referenced Items are not available for this document.
We propose the PRDC (Pattern Representation based on Data Compression) scheme for media data analysis. PRDC is composed of two parts: an encoder that translates input data into text and a set of text compressors to generate a compression-ratio vector (CV). The CV is used as a feature of the input data. By preparing a set of media-specific encoders, PRDC becomes widely applicable. Analysis tasks - both categorization (class formation) and recognition (classification) - can be realized using CVs. After a mathematical discussion on the realizability of PRDC, the wide applicability of this scheme is demonstrated through the automatic categorization and/or recognition of music, voices, genomes, handwritten sketches and color images
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:24
,
Issue:
5
)
Date of Publication: May 2002
- Page(s):
- 579 - 590
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 7265311
- Digital Object Identifier :
- 10.1109/34.1000234
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 August 2002
- Issue Date :
- May 2002
- Sponsored by :
- IEEE Computer Society
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