发明名称 COMPRESSING METHOD FOR FEATURE VECTOR
摘要 PURPOSE:To decrease the capacity of a dictionary by grouping components of a feature vector for each fixed dimension number, quantizing the components in each group with the quantizing level number of each dimension to obtain quantization data of a fixed number of bits for each group, and obtaining a compressed vector containing said quantization data as a component. CONSTITUTION:A rearrangement table 7 obtains the sum of the mean value of each dimension of a feature vector and standard deviation when a dictionary 11 is produced and is produced based on the width of said sum. A rearrangement part 8 refers to the table 7 to rearrange the dimensions of the feature vectors inputted from a feature extracting part 5 and inputs successively 4-dimensional groups to a quantizing part 10. The part 10 uses the component value (histogram value) of each dimension of each input group to access a quantizing level table 9 to read out the quantization data of a single byte. Thus the feature vector and the dictionary are effectively compressed so that the dictionary capacity is extremely decreased.
申请公布号 JPS63292383(A) 申请公布日期 1988.11.29
申请号 JP19870129083 申请日期 1987.05.26
申请人 RICOH CO LTD 发明人 TACHIKAWA MICHIYOSHI
分类号 G06K9/46 主分类号 G06K9/46
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