Defective Photo Classification UsingMachine Learning Techniques

碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 95 === Photos are massively produced while digital image capturing devices are becoming popular, however, not every photo has good quality. In this thesis, two image detectors are proposed: blur detector and exposure detector. Blur detector uses support vector machi...

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Bibliographic Details
Main Authors: Ping Hsu, 許平
Other Authors: Bing-Yu Chen
Format: Others
Language:en_US
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/03208715062773940752