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EURASIP Journal on Image and Video Processing
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Table 4 Comparison of time consumed (seconds) in the GIST1M dataset. We utilize 50,000 GIST to train hashing functions, and map 1 million GIST to 128-bit binary code during the online encoding procedure
From:
Minimal residual ordinal loss hashing with an adaptive optimization mechanism
Our method
OCH
KMH
ITQ
LSH
WhRank
QRank
Online encoding
8.5
8.0
46.0
8.3
8.1
8.4
58.6
Offline training
1861
1572
1382
75
2
569
1183
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