Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 96
... transformed coefficients or equivalent , and hence makes it amenable to represent the data with fewer number of bits in order to achieve compression . The next major step in a lossy data compression system is " quantization ...
... transformed coefficients or equivalent , and hence makes it amenable to represent the data with fewer number of bits in order to achieve compression . The next major step in a lossy data compression system is " quantization ...
Page 108
... transformed , using the chosen linear transformation technique . The transformed coefficients are quantized and entropy encoded into bit - stream c ( B ) in order to achieve compression . During the decompression , as shown in Fig . 3.7 ...
... transformed , using the chosen linear transformation technique . The transformed coefficients are quantized and entropy encoded into bit - stream c ( B ) in order to achieve compression . During the decompression , as shown in Fig . 3.7 ...
Page 120
... transformed block . The next step in the compression process is to quantize the transformed coefficients . This step is primarily responsible for losing information , and hence introduces distortion in the reconstructed image . That is ...
... transformed block . The next step in the compression process is to quantize the transformed coefficients . This step is primarily responsible for losing information , and hence introduces distortion in the reconstructed image . That is ...
Contents
Soft Computing | 37 |
Multimedia Data Compression | 89 |
standard | 129 |
Copyright | |
9 other sections not shown
Other editions - View all
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya Limited preview - 2005 |
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya No preview available - 2005 |
Common terms and phrases
applications approach association rules ATATA binary Bioinformatics Boyer-Moore algorithm C₁ categorical classification clustering coding coefficients color components computational complexity content-based image retrieval corresponding data compression data mining database dataset decision tree decoder defined dictionary distance document domain efficient encoder outputs entropy entropy encoding evaluation example extracted feature fuzzy sets gene Hence Huffman code IEEE Transactions image retrieval initial input integer involving JPEG Karp-Rabin knowledge discovery knowledge-based network learning length linguistic matching algorithms matrix measure method mismatch Mitra multimedia data neural networks neuro-fuzzy neurons objects occurrence optimal partition pattern matching pixel prediction prefix protein pruning quantization query represented result rough set sample Section sequence shown in Fig soft computing split statistical string matching structure substring suffix symbol Table techniques text mining transformed vector wavelet Web mining weights