Presentation 2004/9/3
A Self-controlled Incremental Method for Vector Quantization
Shen Furao, Osamu Hasegawa,
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Abstract(in English) A new vector quantization method is proposed which generates codebooks incrementally. New vectors are inserted in areas of the input vector space where the quantization error is highest until the desired error threshold is reached. After the desired error threshold is reached, a remove-insert phase fine tunes the codebook. The proposed method can (1) solve the main shortcoming of traditional vector quantization LEG algorithm: the dependence on initial conditions; (2) work better than some recently published efficient algorithm such as Enhanced LEG (Patane 2001) for the traditional task: with fixed number of codewords, to find a suitable codebook to minimize distortion error. (3) work for new task that is not solved with traditional methods: with fixed distortion error, to minimize the number of codewords and find a suitable codebook. By solving some image compression problems, a comparison with ELBG was performed. The results indicate that the new method is significantly better than ELBG.
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Paper # PRMU2004-65
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Conference Information
Committee PRMU
Conference Date 2004/9/3(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) A Self-controlled Incremental Method for Vector Quantization
Sub Title (in English)
Keyword(1)
1st Author's Name Shen Furao
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Osamu Hasegawa
2nd Author's Affiliation PRESTO, Japan Science and Technology Agency (JST)
Date 2004/9/3
Paper # PRMU2004-65
Volume (vol) vol.104
Number (no) 290
Page pp.pp.-
#Pages 8
Date of Issue